<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.178247.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Establishing Population-Specific Thyroid-Stimulating Hormone Reference Intervals for Syrians: An Age- and Sex-Stratified Analysis Using Indirect Method</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Shannan</surname>
                        <given-names>Ghassan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0005-9673-8564</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>THallaj</surname>
                        <given-names>Nasser</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Elias</surname>
                        <given-names>Mahmoud</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Malek</surname>
                        <given-names>Zeina S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Alkhatib</surname>
                        <given-names>Adnan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4853-7117</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Faculty of Pharmacy, Arab International University, Damascus, Syria</aff>
                <aff id="a2">
                    <label>2</label>Pharmaceutical chemistry and drug quality control Department, Faculty of Pharmacy, Arab International University, Damascus, Syria</aff>
                <aff id="a3">
                    <label>3</label>IT Services Department, Higher institute of Applied Sciences and Technology, Damascus, Syria</aff>
                <aff id="a4">
                    <label>4</label>Alkhatib Medical Laboratory, Damascus, Syria</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:g-shannan@aiu.edu.sy">g-shannan@aiu.edu.sy</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>18</day>
                <month>4</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>560</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>2</day>
                    <month>4</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Shannan G et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-560/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Thyroid-stimulating hormone (TSH) reference intervals used in Syrian clinical laboratories are derived predominantly from Western or manufacturer-specified populations, without local validation. Given that TSH distributions are shaped by population-specific genetic architecture, iodine sufficiency, autoimmune burden, nutritional status, and chronic psychosocial stress&#x2014;factors operating with particular intensity in a conflict-affected Syrian context. This study sought to establish age- and sex-stratified, population-specific TSH reference intervals for Syria using a large indirect retrospective dataset.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A total of 9,735 consecutive TSH results were analysed from Alkhatib Medical Laboratory, Damascus (2020&#x2013;2024), comprising 6,708 females (68.9%) and 3,027 males (31.1%). The cohort was stratified into six subgroups: children, adolescents, and adults of each sex. TSH was measured by third-generation electrochemiluminescence immunoassay (Elecsys, Roche Diagnostics; LOD 0.005 &#x03bc;IU/mL; calibrated to WHO IRP 80/558). Reference intervals were derived by iterative &#x00b1;2SD truncation of the inlier distribution per CLSI EP28-A3c.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Upper reference limits exceeded the manufacturer&#x2019;s generic ceiling of 4.20 &#x03bc;IU/mL in five of six subgroups. Male adults exhibited the widest dispersion and highest upper boundary (7.01 &#x03bc;IU/mL; CV 117.9%), representing a 66.9% excess. Female adults yielded an upper limit of 6.34 &#x03bc;IU/mL (+51.0%), and paediatric subgroups ranged from 5.85 to 6.06 &#x03bc;IU/mL. A consistent ontogenic trajectory emerged in both sexes: HPT axis variability was greatest in childhood, contracted during adolescence (the only subgroup whose upper limit fell below 4.20 &#x03bc;IU/mL, with female adolescents reaching 3.05 &#x03bc;IU/mL, 27.4% below the manufacturer&#x2019;s threshold), then re-broadened substantially in adulthood. A sex-dimorphic inversion was observed in adults, with males displaying greater TSH dispersion than females&#x2014;contrary to classical Western epidemiological patterns.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Applying generic TSH intervals to the Syrian population produces systematic diagnostic misclassification: over-diagnosis of hypothyroidism in adults and potential failure to detect subclinical hypothyroidism in female adolescents. The derived intervals represent a clinically actionable foundation for improving thyroid diagnostic practice in Syria and should be considered for formal laboratory adoption, pending prospective validation in rigorously screened healthy cohorts. More broadly, these findings reinforce the imperative that diagnostic reference standards in populations defined by distinct genetic, nutritional, and environmental profiles must be locally derived rather than imported.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Thyroid-stimulating hormone (TSH); Reference intervals (RIs); Population-specific; Age and sex stratification; Hypothalamic-pituitary-thyroid (HPT) axis; Diagnostic accuracy.</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>I- Introduction</title>
            <p>In places such as Syria, understanding how thyroid-stimulating hormone varies across populations matters deeply within endocrine science. Because people, cultures, and surroundings differ widely there, these differences shape hormone levels in ways outside data may miss research by 
                <xref ref-type="bibr" rid="ref1">Ahmad and team in 2020</xref>. Even though labs worldwide report average values for TSH, real-world health settings often demand tailored standards. What works in one region can fail elsewhere due to distinct exposure patterns - like air quality or diet - that influence baseline biology (
                <xref ref-type="bibr" rid="ref8">Elzehery et al., 2024</xref>). Diagnosis relies heavily on comparing individual results to appropriate local norms rather than global averages. Without such context-specific benchmarks, doctors might overlook subtle shifts that signal trouble. So building region-specific TSH ranges becomes not just scientific but necessary. 
                <xref ref-type="bibr" rid="ref2">Al-Abduljabbar and team in 2024</xref>.</p>
            <p>Older people, those from certain backgrounds, and exposure to polluted areas often influence how thyroids work - this might shift TSH numbers. Take kids: research by 
                <xref ref-type="bibr" rid="ref19">Oron and team in 2020</xref> showed TSH ranges differ across ethnic groups and weight levels, meaning location and identity matter. What stands out matters most in Syria - where people come from many ethnic roots, shaping how they might react when their environment gets disrupted by thyroid-altering pollutants.</p>
            <p>Still, how we feel inside ties closely to tiny food elements - science again shows lacking nutrients might shift how thyroids work. Take one look at work by 
                <xref ref-type="bibr" rid="ref22">Shaheen and team in 2024</xref>: they checked hundreds of Afghan refugee groups, seeing slumps in hormone creation when key nutrients were low. Much like what happens across war-torn Syria, where getting basic sustenance isn&#x2019;t equal for everyone, so too does body balance differ between communities nearby.</p>
            <p>What happens outdoors affects thyroid work in Syria, no exception. In certain areas, levels of iodine shift - this affects how thyroid hormones form. That detail shows up clearly in data from Salameh and team (Close locations between populations might affect thyroid hormones, according to 
                <xref ref-type="bibr" rid="ref21">2022</xref> findings for Lebanese adults. Yet within Syria, those results may not fit so well. Pollutants from surroundings interfering with hormone systems differ by region here too. Because of those differences, studies should look at specific neighborhoods to see exactly how they alter TSH levels.</p>
            <p>Healthcare in Syria faces special difficulties when it comes to getting enough proper medical supplies or steady lab services. Take thyroid checks, for instance - 
                <xref ref-type="bibr" rid="ref15">Mahmood and team in 2024</xref> showed how vital local norms are by looking at newborns in nearby Iraq. When global standards ignore regional factors, care can shift off track. With weak healthcare systems across Syria, setting unique targets for infant thyroid hormone levels matters deeply. Accurate treatment depends heavily on such tailored benchmarks (
                <xref ref-type="bibr" rid="ref13">Karar et al., 2025</xref>).</p>
            <p>When it comes to public health challenges like metabolic syndrome or autoimmune problems, thyroid function plays a key part - making this topic even more pressing. Research by 
                <xref ref-type="bibr" rid="ref3">Albishara and team in 2022</xref> found strong links between metabolic syndrome and hypothyroidism among Syrian patients, showing how these conditions affect each other plus how care systems are set up 
                <xref ref-type="bibr" rid="ref27">Tarboush et al., 2023</xref>. Because of these ties, checking TSH levels becomes more than just routine testing - it can shape how metabolic issues are handled across affected areas.</p>
            <p>Looking at how TSH levels connect with health results, there&#x2019;s evidence tying them to cancer risks - Shahrokh and team showed this in 
                <xref ref-type="bibr" rid="ref24">2023</xref> by studying patients before surgery in Syria, focusing on papillary thyroid cases. What stands out is that standard TSH ranges might not fit every population, since regional differences in health could shape both treatment paths and individual outcomes.</p>
            <p>Still, autoimmune thyroid disease matters more in certain groups than others. Looking at 
                <xref ref-type="bibr" rid="ref12">Hazzaa and team&#x2019;s 2024</xref> study, people with type 1 diabetes in Syria had higher rates of such conditions. That link might point to shared risks worth noting during creation of TSH benchmarks. When thyroid status interacts with other health issues, seeing how they mix shapes a fuller picture of well-being.</p>
            <p>What also matters are psychological and physical habits tied to how people handle stress or manage their routines, like what studies found about cadmium and manganese effects (
                <xref ref-type="bibr" rid="ref5">B&#x0142;a&#x017c;ewicz et al., 2022</xref>). Kids and teens from wealthier or poorer homes face distinct risks from pollutants around them, showing that hormone balance and TSH readings depend on more than just genetics - surroundings play a role too.</p>
            <p>When it comes to thyroid health in Syria, one size does not fit all. People from different backgrounds experience variations in thyroid function tied to age, genetic background, outside conditions, plus how care systems are set up. If standards are applied too broadly, doctors might miss signs or treat problems incorrectly. That kind of mistake can ripple through entire communities. Recent studies highlight how local research matters, shaped by Syria&#x2019;s distinct population and natural conditions, which can lead to better health results across the area.</p>
        </sec>
        <sec id="sec6">
            <title>II- Materials and methods</title>
            <sec id="sec7">
                <title>II-A- Study population and data acquisition</title>
                <p>To establish population-specific reference intervals (RIs) for thyroid-stimulating hormone (TSH), an indirect retrospective approach was employed. Data were obtained from Alkhatib Medical Laboratory, Damascus, Syria, comprising 10,000 consecutive TSH test results from individuals of all age groups, collected between 2020 and 2024. The cohort was stratified by sex and age into six subgroups: female and male children (2&#x2013;16&#x00a0;years), adolescents (16&#x2013;18&#x00a0;years), and adults (&gt;18&#x00a0;years). This stratification acknowledges the physiological modulation of the hypothalamic-pituitary-thyroid axis across developmental stages and between sexes.</p>
            </sec>
            <sec id="sec8">
                <title>II-B- Analytical methodology</title>
                <p>TSH concentration was quantified using the Elecsys TSH immunoassay on cobas e analyzers (Roche Diagnostics). This third-generation electrochemiluminescence assay (ECLIA) employs a sandwich principle with two monoclonal antibodies: a biotinylated anti-TSH antibody and a ruthenium-complex-labeled anti-TSH antibody, engineered as a chimeric human-mouse construct to minimize human anti-mouse antibody (HAMA) interference. The assay exhibits high sensitivity (limit of detection: 0.005 &#x03bc;IU/mL), specificity (no cross-reactivity with LH, FSH, or hCG), and a broad measuring range (0.005&#x2013;100 &#x03bc;IU/mL). Calibration was traceable to the WHO 2nd IRP 80/558 standard, and rigorous quality control was maintained using PreciControl materials.</p>
            </sec>
            <sec id="sec9">
                <title>II-C- Statistical analysis</title>
                <p>For each subgroup, the mean and standard deviation (SD) of TSH concentrations were calculated. To define robust RIs and minimize the influence of outliers or pathological values, results lying beyond mean&#x00a0;&#x00b1;&#x00a0;2SD were excluded. Following this exclusion, the mean and SD were recalculated for the inlier population, and the reference interval was defined as the mean&#x00a0;&#x00b1;&#x00a0;2SD. This non-parametric approach aligns with CLSI recommendations for indirect RI establishment and ensures intervals reflect the central 95% of the presumed healthy population distribution.</p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="results">
            <title>III. Results</title>
            <sec id="sec11">
                <title>III.1 Study cohort composition and demographic distribution</title>
                <p>A total of 9,735 consecutive TSH test results were analysed after initial quality screening, comprising 6,708 females (68.9%) and 3,027 males (31.1%), yielding a female-to-male ratio of 2.22:1. The cohort spanned the full age spectrum from 2&#x00a0;years to adulthood and was stratified into six demographically and physiologically distinct subgroups: female and male children (2&#x2013;16&#x00a0;years), adolescents (16&#x2013;18&#x00a0;years), and adults (&gt;18&#x00a0;years). The adult stratum constituted the numerical majority of the dataset (n&#x00a0;=&#x00a0;7,702; 79.1% of the total cohort), with female adults alone accounting for 5,674 observations (58.3%). By contrast, the adolescent subgroups were considerably smaller in absolute terms (female adolescents, n&#x00a0;=&#x00a0;127; male adolescents, n&#x00a0;=&#x00a0;82), reflecting both the narrower age window and genuine population representation within the laboratory&#x2019;s catchment area. The children&#x2019;s subgroups were roughly balanced across sex (female children, n&#x00a0;=&#x00a0;907; male children, n&#x00a0;=&#x00a0;917), suggesting equitable referral patterns in the paediatric age band.</p>
            </sec>
            <sec id="sec12">
                <title>III.2 Population-specific reference intervals: primary findings</title>
                <p>Applying the indirect &#x00b1;2SD exclusion criterion to the inlier TSH distribution within each subgroup, reference intervals (RIs) were derived representing the central 95% of the healthy population. The calculated mean, standard deviation (SD), standard error of the mean (SEM), and resultant 95% RIs are presented in 
                    <xref ref-type="table" rid="T1">
Table 1</xref>. A critical methodological note is warranted: the raw statistical lower boundary yielded negative values in all subgroups &#x2014; a mathematical artefact of applying the Gaussian &#x00b1;2SD model to a right-skewed, physiologically truncated distribution. Clinically, TSH concentrations below 0.00 &#x03bc;IU/mL are not physiologically possible; accordingly, all reported lower reference limits are floored at 0.00 &#x03bc;IU/mL, and the biologically meaningful lower boundary for each subgroup is approximated by the lowest detectable value of the Elecsys assay (0.005 &#x03bc;IU/mL).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Descriptive statistics and derived 95% reference intervals for tsh across age- and sex-stratified subgroups in the syrian population (N&#x00a0;=&#x00a0;9,735).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Subgroup</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Age Range</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SEM</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower RI
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper RI
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">RI Width</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="9" rowspan="1" valign="top">
                                    <bold>Female Cohort (n&#x00a0;=&#x00a0;6,708; 68.9% of total)</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Children</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">2&#x2013;16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">907</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.480</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.790</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.059</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.060</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">6.060</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adolescents</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">16&#x2013;18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">127</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.510</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.770</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.068</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.050</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">3.050
                                    <xref ref-type="table-fn" rid="tfn3">&#x2021;</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adults</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">&gt; 18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5,674</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.035</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.152</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.029</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.340</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">6.340</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>All Females (composite)</bold>
</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">All ages</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6,708</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.085</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.087</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.025</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.260</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">6.260</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="9" rowspan="1" valign="top">
                                    <bold>Male Cohort (n&#x00a0;=&#x00a0;3,027; 31.1% of total)</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Children</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">2&#x2013;16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">917</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.550</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.650</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.054</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.850</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">5.850</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adolescents</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">16&#x2013;18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">82</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.050</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.245</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.137</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.540</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">4.540</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adults</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">&gt; 18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2,028</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.085</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.462</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.055</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>7.010</bold>
                                    <xref ref-type="table-fn" rid="tfn3">

                                        <bold>&#x2021;</bold>
                                    </xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">7.010</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>All Males (composite)</bold>
</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">All ages</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3,027</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.275</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.353</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.043</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.980</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">6.980</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="9" rowspan="1" valign="top">
                                    <bold>Total Cohort (N&#x00a0;=&#x00a0;9,735)</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Overall (all subgroups)</bold>
</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">2&#x2013;&gt;18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9,735</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.163</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.182</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000
                                    <xref ref-type="table-fn" rid="tfn2">&#x2020;</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.748</td>
                                <td align="center" colspan="1" rowspan="1" valign="middle">&#x2014;</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Abbreviations: RI&#x00a0;=&#x00a0;reference interval; SD&#x00a0;=&#x00a0;standard deviation; SEM&#x00a0;=&#x00a0;standard error of the mean; CV&#x00a0;=&#x00a0;coefficient of variation.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>Lower RI truncated at 0.00 &#x03bc;IU/mL (physiological floor).</p>
                            </fn>
                            <fn id="tfn2">
                                <label>
                                    <sup>&#x2020;</sup>
                                </label>
                                <p>Computed lower bound (mean&#x00a0;&#x2212;&#x00a0;2SD) was negative; clinical lower RI is set at 0.00 &#x03bc;IU/mL</p>
                            </fn>
                            <fn id="tfn3">
                                <label>
                                    <sup>&#x2021;</sup>
                                </label>
                                <p>Notable values: narrowest upper RI (female adolescents, 3.05 &#x03bc;IU/mL) and highest upper RI (male adults, 7.01 &#x03bc;IU/mL). SEM calculated as SD/&#x221a;n.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec13">
                <title>III.3 Sex-specific trends across the life course</title>
                <p>Within the female cohort, a pronounced ontogenic trajectory emerged. Female children exhibited a mean TSH of 2.48&#x00a0;&#x00b1;&#x00a0;1.79 &#x03bc;IU/mL with an upper RI of 6.06 &#x03bc;IU/mL, reflecting the relative physiological lability of the hypothalamic-pituitary-thyroid (HPT) axis in early development. A striking and statistically meaningful contraction was observed in female adolescents, whose mean declined to 1.51&#x00a0;&#x00b1;&#x00a0;0.77 &#x03bc;IU/mL and whose upper RI compressed to 3.05 &#x03bc;IU/mL &#x2014; the narrowest upper boundary across all six subgroups. This finding likely reflects a period of maximal HPT axis stability coincident with the hormonal reorganisation of puberty and the establishment of mature sex-steroid feedback dynamics. In female adults, both the mean and SD expanded substantially (2.04&#x00a0;&#x00b1;&#x00a0;2.15 &#x03bc;IU/mL; upper RI 6.34 &#x03bc;IU/mL), consistent with accumulating inter-individual heterogeneity attributable to menstrual cycle variation, potential subclinical thyroid autoimmunity, and age-related HPT axis drift.</p>
                <p>Among males, the ontogenic pattern differed in magnitude but followed a comparable general direction. Male children demonstrated a mean of 2.55&#x00a0;&#x00b1;&#x00a0;1.65 &#x03bc;IU/mL (upper RI 5.85 &#x03bc;IU/mL). Male adolescents showed a mean of 2.05&#x00a0;&#x00b1;&#x00a0;1.25 &#x03bc;IU/mL (upper RI 4.54 &#x03bc;IU/mL), representing a narrowing relative to their paediatric baseline, albeit less pronounced than observed in females. Male adults exhibited the widest SD and the highest upper RI of all six subgroups: 2.09&#x00a0;&#x00b1;&#x00a0;2.46 &#x03bc;IU/mL with an upper boundary of 7.01 &#x03bc;IU/mL. The coefficient of variation (CV) in this group reached 117.9%, reflecting considerable intra-population dispersion that may be attributable to the large sample size, heterogeneity of iodine exposure across Syrian geographic regions, age-related thyrotrope sensitisation, and the inherent variability captured by the indirect method&#x2019;s retrospective design.</p>
            </sec>
            <sec id="sec14">
                <title>III.4 Interval width and coefficient of variation as markers of population heterogeneity</title>
                <p>A structured comparison of interval widths and CVs across subgroups (presented in 
                    <xref ref-type="table" rid="T2">
Table 2</xref>) reveals a consistent pattern: adolescent subgroups display the narrowest RIs and lowest CVs in both sexes, while adult groups &#x2014; particularly male adults &#x2014; exhibit the broadest dispersion. The RI width ranged from a minimum of 3.05 &#x03bc;IU/mL in female adolescents to a maximum of 7.01 &#x03bc;IU/mL in male adults, a 2.30-fold difference. This pattern likely reflects three overlapping biological phenomena: (i) pubertal stabilisation of the HPT set-point following the resolution of childhood developmental flux, (ii) the emergence of age-related pituitary sensitivity drift in adulthood, and (iii) progressive population-level heterogeneity introduced by cumulative environmental, nutritional, and immunological exposures over decades of life.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Interval characteristics and coefficient of variation across subgroups: full stratification summary.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Subgroup</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00a0;&#x00b1;&#x00a0;SD (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% RI (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">RIWidth (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">CV (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">% of Total Cohort</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="top">
                                    <bold>Female cohort</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Children</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">907</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.48&#x00a0;&#x00b1;&#x00a0;1.79</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;6.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adolescents</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">127</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">1.51&#x00a0;&#x00b1;&#x00a0;0.77</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;3.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>3.05</bold>
                                    <xref ref-type="table-fn" rid="tfn4">

                                        <bold>&#x2021;</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adults</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5,674</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.04&#x00a0;&#x00b1;&#x00a0;2.15</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;6.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">105.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">58.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="top">
                                    <bold>Male cohort</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Children</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">917</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.55&#x00a0;&#x00b1;&#x00a0;1.65</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;5.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">64.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.4%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adolescents</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">82</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.05&#x00a0;&#x00b1;&#x00a0;1.25</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;4.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.8%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adults</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2,028</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.09&#x00a0;&#x00b1;&#x00a0;2.46</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">
                                    <bold>0.00&#x2013;7.01</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>7.01</bold>
                                    <xref ref-type="table-fn" rid="tfn4">

                                        <bold>&#x2021;</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">117.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.8%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="top">
                                    <bold>Total cohort (N&#x00a0;=&#x00a0;9,735)</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>All females (combined)</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6,708</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.09&#x00a0;&#x00b1;&#x00a0;2.09</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;6.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">100.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">68.9%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>All males (combined)</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3,027</td>
                                <td align="char" char="&#x00b1;" colspan="1" rowspan="1" valign="middle">2.28&#x00a0;&#x00b1;&#x00a0;2.35</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.00&#x2013;6.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">103.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">31.1%</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CV (%)&#x00a0;=&#x00a0;(SD/Mean)&#x00a0;&#x00d7;&#x00a0;100.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn4">
                                <label>
                                    <sup>&#x2021;</sup>
                                </label>
                                <p>Minimum and maximum upper RI values across all subgroups. Yellow shading&#x00a0;=&#x00a0;adolescent subgroups (narrowest RIs). Red shading&#x00a0;=&#x00a0;male adult subgroup (highest upper RI and CV). RI width calculated as clinical upper RI minus clinical lower RI (floored at 0.00 &#x03bc;IU/mL).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec15">
                <title>III.5 Deviation from the manufacturer&#x2019;s generic reference range</title>
                <p>To contextualise the clinical significance of the derived population-specific RIs, each subgroup&#x2019;s upper boundary was compared against the manufacturer&#x2019;s generic reference interval of 0.270&#x2013;4.20 &#x03bc;IU/mL (Roche Diagnostics, Elecsys TSH). The results, summarised in 
                    <xref ref-type="table" rid="T3">
Table 3</xref>, reveal systematic and clinically important divergences.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Comparison of syrian population-specific tsh reference intervals with the manufacturer&#x2019;s generic range: subgroup-level deviations.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Subgroup</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Syrian RI Lower (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Syrian RI Upper (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Manufacturer RI (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Deviation in Upper Limit (&#x03bc;IU/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Relative Deviation (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Direction</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Children (2&#x2013;16 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">907</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.06</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+1.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+44.3%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adolescents (16&#x2013;18 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">127</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.05</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2212;1.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2212;27.4%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2193;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female Adults (&gt; 18 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5,674</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.34</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+2.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+51.0%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Children (2&#x2013;16 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">917</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.85</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+1.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+39.3%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adolescents (16&#x2013;18 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">82</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.54</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+0.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+8.1%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male Adults (&gt; 18 y)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2,028</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>7.01</bold>
</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>+2.81</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>+66.9%</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Total Females (composite)</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6,708</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.26</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+2.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+49.0%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Total Males (composite)</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3,027</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.98</td>
                                <td align="char" char="&#x2013;" colspan="1" rowspan="1" valign="middle">0.27&#x2013;4.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+2.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">+66.2%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>&#x2191;</bold>
</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>&#x2191;&#x00a0;=&#x00a0;Syrian upper RI exceeds manufacturer upper RI (risk of under-diagnosis of hyperthyroidism or over-diagnosis of subclinical hypothyroidism). &#x2193;&#x00a0;=&#x00a0;Syrian upper RI falls below manufacturer upper RI (risk of over-diagnosis of hyperthyroidism in adolescents using the generic range). Yellow shading&#x00a0;=&#x00a0;unique directionality (adolescents). Red shading&#x00a0;=&#x00a0;most clinically critical deviation (male adults). Relative deviation (%)&#x00a0;=&#x00a0;[(Syrian upper RI&#x00a0;&#x2212;&#x00a0;4.20) /4.20]&#x00a0;&#x00d7;&#x00a0;100.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>With the sole exception of female adolescents, all Syrian subgroups demonstrated upper TSH reference boundaries that substantially exceed the manufacturer&#x2019;s generic upper limit of 4.20 &#x03bc;IU/mL. The most clinically consequential finding is the male adult upper RI of 7.01 &#x03bc;IU/mL &#x2014; representing a deviation of +2.81 &#x03bc;IU/mL (+66.9%) above the manufacturer&#x2019;s threshold. Under routine application of the 4.20 &#x03bc;IU/mL cutoff, all Syrian adult males and females whose true TSH lies within the 4.20&#x2013;7.01 &#x03bc;IU/mL and 4.20&#x2013;6.34 &#x03bc;IU/mL windows, respectively, would be incorrectly flagged as hypothyroid &#x2014; a diagnostic misclassification with direct consequences for unnecessary levothyroxine prescribing, patient anxiety, and downstream healthcare utilisation.</p>
                <p>Conversely, female adolescents present a directionally opposite risk: their upper RI of 3.05 &#x03bc;IU/mL is 1.15 &#x03bc;IU/mL below the manufacturer&#x2019;s upper limit. If the generic range were applied, values between 3.05 and 4.20 &#x03bc;IU/mL in this subgroup would be falsely normalised, potentially masking early or evolving subclinical hypothyroidism in a physiologically vulnerable population of adolescent females. The magnitude of all observed deviations reinforces the argument that universal or manufacturer-derived RIs lack the population specificity necessary for accurate thyroid function interpretation in Syrian patients.</p>
            </sec>
            <sec id="sec16">
                <title>III.6 Sex-dimorphic patterns in adult tsh reference intervals</title>
                <p>A consistent sex-dimorphic pattern emerged in the adult age band, with male adults demonstrating both a higher upper RI (7.01 vs. 6.34 &#x03bc;IU/mL) and a wider interval (CV: 117.9% vs. 105.8%) compared to female adults. When comparing composite RIs (all ages), males again exhibited greater dispersion (SD: 2.35 vs. 2.09 &#x03bc;IU/mL). This directional finding &#x2014; higher TSH upper boundaries in males &#x2014; contrasts with classical epidemiological reports from Western cohorts, which typically describe higher TSH values in females due to oestrogen-mediated thyrotrope sensitisation. The observed pattern within this Syrian dataset may reflect the interplay of several factors specific to the study population, including differences in the prevalence of subclinical autoimmune thyroiditis across sexes, the referral bias inherent to the indirect method (females, who present more frequently for thyroid testing, may generate a dataset enriched for subtly abnormal values), and potentially distinct iodine sufficiency profiles between sexes in the Syrian context. These hypotheses warrant prospective evaluation in future studies employing strict thyroid-healthy population criteria.</p>
                <p>

                    <bold>Quantitative findings</bold>
                </p>
                <p>The following key quantitative findings emerged from this analysis: (1) Total cohort: N&#x00a0;=&#x00a0;9,735 TSH results (females 68.9%; males 31.1%; F:M ratio 2.22:1). (2) Narrowest upper RI: female adolescents, 3.05 &#x03bc;IU/mL &#x2014; falling 27.4% below the manufacturer&#x2019;s generic upper limit. (3) Widest upper RI: male adults, 7.01 &#x03bc;IU/mL &#x2014; exceeding the manufacturer&#x2019;s upper limit by 66.9% (+2.81 &#x03bc;IU/mL). (4) Greatest population SD: male adults (SD&#x00a0;=&#x00a0;2.46 &#x03bc;IU/mL; CV&#x00a0;=&#x00a0;117.9%), indicating marked TSH dispersion in this dominant subgroup. (5) Systematic upward shift in adults: both adult female (upper RI 6.34 &#x03bc;IU/mL) and adult male (upper RI 7.01 &#x03bc;IU/mL) subgroups showed clinically significant exceedance of the 4.20 &#x03bc;IU/mL generic threshold, with the pooled Syrian adult upper RI approximately 51&#x2013;67% above the manufacturer&#x2019;s reference. Taken collectively, these findings demonstrate that the Syrian population displays population-specific TSH distributions that deviate substantially and systematically from manufacturer-derived universal norms, with the direction and magnitude of deviation varying meaningfully by both age and sex.</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="discussion">
            <title>Discussion</title>
            <p>The central finding of this study is both statistically robust and clinically significant: population-specific TSH reference intervals derived from 9,735 consecutive samples in a Syrian cohort deviate substantially from the manufacturer&#x2019;s generic range of 0.27&#x2013;4.20 &#x03bc;IU/mL across virtually all age and sex strata (
                <xref ref-type="bibr" rid="ref28">Varghese et al., 2024</xref>). In five of six subgroups, upper reference limits exceeded 4.20 &#x03bc;IU/mL, reaching a maximum of 7.01 &#x03bc;IU/mL in male adults&#x2014;a deviation of +66.9% above the manufacturer&#x2019;s upper threshold. The direct clinical implication is serious: any Syrian adult male whose TSH concentration falls within the 4.20&#x2013;7.01 &#x03bc;IU/mL window would be incorrectly classified as hypothyroid under the universal standard, exposing this population to unnecessary levothyroxine therapy, associated iatrogenic risk, and the cumulative burden on a health system already strained by prolonged socio-economic and humanitarian pressures (
                <xref ref-type="bibr" rid="ref11">Hamad et al., 2020</xref>).</p>
            <p>The divergence observed here is consistent with a growing body of evidence demonstrating that TSH distributions are population-contingent rather than universal. 
                <xref ref-type="bibr" rid="ref18">Naous et al. (2025)</xref> recently established reference intervals for Lebanese adults using a decade of laboratory data, finding that even geographically adjacent populations with substantial ethnocultural overlap require their own locally validated ranges. 
                <xref ref-type="bibr" rid="ref19">Oron et al. (2020)</xref> further demonstrated that paediatric TSH values must account for BMI and ethnicity, a finding directly applicable to the children&#x2019;s subgroups in the present study, where upper reference limits of 6.06 &#x03bc;IU/mL (females) and 5.85 &#x03bc;IU/mL (males) considerably exceed the manufacturer&#x2019;s 4.20 &#x03bc;IU/mL ceiling. In Syria specifically, where autoimmune thyroid disease co-occurs with type 1 diabetes at measurable prevalence (
                <xref ref-type="bibr" rid="ref12">Hazzaa et al., 2024</xref>) and where papillary thyroid carcinoma workups reveal pre-surgical TSH profiles that diverge from Western norms (
                <xref ref-type="bibr" rid="ref24">Shahrokh et al., 2023</xref>), the inadequacy of generic reference intervals is not merely a statistical artefact but a diagnostically consequential reality.</p>
            <p>A particularly noteworthy ontogenic pattern emerged across the life course. Within the female cohort, TSH variability was greatest in childhood (mean 2.48&#x00a0;&#x00b1;&#x00a0;1.79 &#x03bc;IU/mL; CV 72.2%), contracted markedly during adolescence (mean 1.51&#x00a0;&#x00b1;&#x00a0;0.77 &#x03bc;IU/mL; CV 51.0%; upper RI 3.05 &#x03bc;IU/mL), and then re-expanded in adulthood (mean 2.04&#x00a0;&#x00b1;&#x00a0;2.15 &#x03bc;IU/mL; CV 105.8%). The adolescent interval, at 3.05 &#x03bc;IU/mL, was the narrowest observed across all six subgroups and fell 27.4% below the manufacturer&#x2019;s upper limit&#x2014;a directional reversal compared to all other strata. This finding likely reflects the consolidation of hypothalamic-pituitary-thyroid (HPT) axis set-point regulation during pubertal maturation, a period of maximal gonadal steroid feedback integration (
                <xref ref-type="bibr" rid="ref26">
Sharabi-Nov A et al., 2023</xref>). The subsequent widening of the adult interval, particularly in females (upper RI 6.34 &#x03bc;IU/mL), plausibly reflects the compounding influence of menstrual cycle-related thyrotrope modulation, subclinical autoimmune thyroiditis, and age-related HPT axis drift. The broader metabolic context is also relevant: the well-documented association between hypothyroidism and metabolic syndrome in Syrian patients (
                <xref ref-type="bibr" rid="ref3">Albishara et al., 2022</xref>) underscores the necessity of age-stratified reference intervals so that TSH elevations reflecting metabolic comorbidity are not misattributed to primary thyroid pathology.</p>
            <p>The sex-dimorphic pattern in adult TSH dispersion warrants careful consideration. Male adults in this cohort exhibited both the highest upper RI (7.01 &#x03bc;IU/mL) and the widest coefficient of variation (117.9%) of any subgroup&#x2014;a finding that runs counter to classical epidemiological data from Western cohorts, where females typically display higher TSH values due to oestrogen-mediated enhancement of thyrotrope sensitivity (
                <xref ref-type="bibr" rid="ref29">Wang et al., 2021</xref>). Several non-mutually exclusive explanations may account for this (
                <xref ref-type="bibr" rid="ref7">Duntas et al., 2025</xref>). First, the indirect method inherently enriches the female dataset with individuals referred for suspected thyroid pathology, potentially inflating the female distribution&#x2019;s upper tail relative to a true healthy reference population (
                <xref ref-type="bibr" rid="ref17">Msuega et al., 2021</xref>). Second, geographic heterogeneity in iodine sufficiency across Syria may affect males and females differentially in terms of referral patterns and subclinical autoimmune burden. Third, chronic psychosocial stress, a documented modulator of HPT axis function (
                <xref ref-type="bibr" rid="ref6">DeCaro and Helfrecht, 2022</xref>), operates through neuroendocrine pathways that may have sex-specific thresholds in a conflict-affected population. The role of environmental exposures&#x2014;including heavy metals such as cadmium and manganese, which measurably alter thyroid function and are subject to sex-specific pharmacokinetic profiles (
                <xref ref-type="bibr" rid="ref5">B&#x0142;a&#x017c;ewicz et al., 2022</xref>)&#x2014;represents an additional layer of biological complexity that population-specific intervals must accommodate.</p>
            <p>The context of conflict-driven nutritional insecurity is particularly salient when interpreting the elevated TSH variability observed in the adult strata. 
                <xref ref-type="bibr" rid="ref22 ref23">Shaheen et al. (2024, 2025)</xref> documented measurable suppression of thyroid hormone synthesis in adolescent Afghan refugees experiencing micronutrient deficiency, a population sharing important sociodemographic parallels with internally displaced and food-insecure Syrians. Iodine insufficiency, which modulates the HPT axis at multiple levels, has been reported in adjacent populations (
                <xref ref-type="bibr" rid="ref21">Salameh et al., 2022</xref>) and likely operates with geographic heterogeneity within Syria itself. The contribution of these nutritional variables to the wide intra-population TSH dispersion captured by the indirect method&#x2014;particularly the high SD values in adult males (SD 2.46 &#x03bc;IU/mL) and adult females (SD 2.15 &#x03bc;IU/mL)&#x2014;cannot be disaggregated from this retrospective dataset and constitutes a priority for prospective investigation. Reference interval studies employing direct methods with strict exclusion of nutritional confounders would yield considerably narrower and biologically purer intervals than those reported here (
                <xref ref-type="bibr" rid="ref16">Mohammadparast et al., 2024</xref>).</p>
            <p>The geographic dimensions of thyroid disease epidemiology further contextualise these findings. 
                <xref ref-type="bibr" rid="ref14">Kim et al. (2020)</xref> documented substantial geographic variability in thyroid cancer incidence, attributable in part to region-specific environmental and diagnostic factors; the diagnostic accuracy of TSH-based screening is necessarily undermined when the reference standard is derived from a non-representative population. In neighbouring countries and regional cohorts, the establishment of local neonatal and paediatric reference ranges has already demonstrated measurable improvements in the early detection of congenital hypothyroidism and neonatal dysthyroidism (
                <xref ref-type="bibr" rid="ref15">Mahmood et al., 2024</xref>), outcomes with irreversible developmental sequelae if delayed. The same principle applies to the paediatric subgroups in this study: female and male children presented upper reference limits of 6.06 and 5.85 &#x03bc;IU/mL, respectively&#x2014;values 44.3% and 39.3% above the manufacturer&#x2019;s ceiling&#x2014;reinforcing the case that paediatric thyroid screening in Syria requires locally calibrated thresholds rather than imported adult-derived or manufacturer-specified ranges (
                <xref ref-type="bibr" rid="ref10">Gill et al., 2023</xref>).</p>
            <p>Several methodological considerations merit acknowledgement. The indirect approach employed here, while pragmatic and well-suited to large retrospective datasets, does not exclude subclinical or undiagnosed thyroid disease from the reference population, which inherently widens the derived intervals relative to those from rigorously screened healthy volunteers (
                <xref ref-type="bibr" rid="ref9">Gandhi et al., 2022</xref>). The negative lower boundary values yielded by the Gaussian &#x00b1;2SD model&#x2014;floored at 0.00 &#x03bc;IU/mL throughout&#x2014;reflect the right-skewed nature of TSH distributions and are a recognised limitation of applying parametric statistics to log-normally distributed analytes. Future work employing log-transformation, Box-Cox normalisation, or non-parametric percentile derivation as recommended under CLSI EP28-A3c would likely yield narrower and statistically better-specified lower bounds. Additionally, the marked female predominance in this cohort (F:M ratio 2.22:1, 68.9% female) reflects the well-established sex differential in thyroid disease prevalence and healthcare-seeking behaviour, but introduces the referral bias inherent to indirect methods that must be considered when generalising these intervals to unselected community populations (
                <xref ref-type="bibr" rid="ref20">Rasoulizadeh et al., 2025</xref>). Notwithstanding these limitations, the scale of the dataset (N&#x00a0;=&#x00a0;9,735), its geographic representativeness for a Damascus-based tertiary laboratory, and the consistent directional findings across all adult strata collectively support the validity and practical utility of the derived reference intervals for clinical application in this population.</p>
        </sec>
        <sec id="sec18" sec-type="conclusion">
            <title>V- Conclusion</title>
            <p>This study establishes, for the first time in a large Syrian cohort, population-specific TSH reference intervals that differ substantially and systematically from the manufacturer&#x2019;s generic range of 0.27&#x2013;4.20 &#x03bc;IU/mL. Across 9,735 age- and sex-stratified samples, five of six subgroups yielded upper reference limits exceeding 4.20 &#x03bc;IU/mL, culminating in an upper boundary of 7.01 &#x03bc;IU/mL in adult males&#x2014;a 66.9% excess over the manufacturer&#x2019;s threshold. The sole directional exception, female adolescents (upper RI 3.05 &#x03bc;IU/mL), fell 27.4% below that threshold, identifying this subgroup as uniquely vulnerable to false-negative diagnoses of subclinical hypothyroidism when generic intervals are applied. Taken together, these findings demonstrate that reliance on non-localised reference standards carries measurable diagnostic misclassification risk across all age and sex categories in the Syrian population.</p>
            <p>The pronounced ontogenic trajectory uncovered here&#x2014;characterised by maximal HPT axis variability in childhood, a period of relative stability and narrowed dispersion in adolescence, and re-broadening in adulthood&#x2014;underscores the necessity of age-stratified, rather than composite, reference standards. The unexpected sex-dimorphic pattern in adults, with male dispersion exceeding female (CV 117.9% vs. 105.8%), diverges from classical Western epidemiological data and likely reflects the interplay of iodine sufficiency heterogeneity, differential autoimmune burden, and chronic psychosocial stress operating within a conflict-affected population. These biological and contextual complexities cannot be captured by any single, population-agnostic interval.</p>
            <p>The intervals reported here represent a clinically actionable foundation for improving thyroid diagnostic practice in Syria and should be considered for formal adoption by clinical laboratories serving this population, pending validation in prospective, directly sampled healthy-volunteer cohorts with rigorous exclusion of thyroid disease and nutritional confounders. Future investigations should further stratify by iodine status, BMI, and autoimmune serology to isolate the specific determinants of the observed intra-population TSH dispersion. Beyond their immediate clinical utility, these findings reinforce the broader imperative that diagnostic reference standards in resource-limited and conflict-affected settings must be derived from locally representative data&#x2014;not imported from populations whose genetic, nutritional, and environmental profiles are fundamentally dissimilar.</p>
        </sec>
        <sec id="sec19">
            <title>Ethics and consent statement</title>
            <p>The Research Ethics Committee reviewed and discussed the research proposal ref. 22-7 of the Faculty of Pharmacy, dated 5 September 2023, to conduct the research study entitled: Establishing Population-Specific Thyroid-Stimulating Hormone Reference Intervals for Syrians: An Age- and Sex-Stratified Analysis Using Indirect Method.</p>
            <p>During the committee meeting held on 12th. September 2023, all submitted documents were reviewed and approved. After due consideration, the committee has decided to approve the proposed study protocol, methodology, and data collection procedures.</p>
            <p>Given the extraordinary circumstances and challenges faced by the Syrian healthcare system during the ongoing crisis, the committee acknowledges the difficulty of conducting conventional informed consent procedures. In line with ethical guidelines for research in emergency and crisis settings, and to facilitate the collection of critical data needed to support a severely strained health system, verbally informed consent from participants has been deemed acceptable. This approach aims to streamline the data collection process while maintaining respect for participant autonomy and confidentiality.</p>
            <p>All members of the Research Ethics Committee were present at the meeting held on 12th. September 2023, along with the Vice Dean of the Faculty of Pharmacy. It is hereby confirmed that none of the study team members participated in the decision-making procedures of the committee.</p>
            <p>The approved study period extends from September 2023 to September 2025.</p>
        </sec>
    </body>
    <back>
        <sec id="sec22" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>

                <bold>Repository Site:</bold> Thyroxine: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18933537">

                    <bold>https://doi.org/10.5281/zenodo.18933537</bold>
</ext-link>
            </p>
            <p>

                <bold>Data availability:</bold> 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18933537">

                    <bold>https://doi.org/10.5281/zenodo.18933537</bold>
</ext-link> [
                <xref ref-type="bibr" rid="ref25">Shannan,G. (2026)</xref>.]</p>
            <p>We agree to make freely available all of the data and materials supporting the results or analyses in our paper, under an open licence permitting reuse. Acceptable open licences include CC-BY or CC0.</p>
            <sec id="sec23">
                <title>Underlying data</title>
                <p>

                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18933537">

                        <bold>https://doi.org/10.5281/zenodo.18933537</bold>
</ext-link> [
                    <xref ref-type="bibr" rid="ref25">Shannan,G. (2026)</xref>.]
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Stat Thyroid, (Calculated means and Standard Deviations)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>TSH 2, (Results extracted from the database of the clinical laboratory)</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec24">
                <title>Extended data</title>
                <p>No extended Data.</p>
                <p>

                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative commons attribution 4.0 International</ext-link>.</p>
            </sec>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ahmad</surname>
                            <given-names>RI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Barry</surname>
                            <given-names>HA</given-names>
                        </name>
</person-group>:
                    <article-title>Neonatal Screening for Congenital Hypothyroidism at Obstetrics and Pediatrics Hospital in Lattakia, Syria.</article-title>
                    <source>

                        <italic toggle="yes">Res. J. Pharm. Technol.</italic>
</source>
                    <year>2020</year>;<volume>13</volume>(<issue>6</issue>):<fpage>2749</fpage>&#x2013;<lpage>2751</lpage>.
                    <pub-id pub-id-type="doi">10.5958/0974-360X.2020.00488.6</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Al-Abduljabbar</surname>
                            <given-names>SE</given-names>
                        </name>
</person-group>:
                    <article-title>Unveiling Multi-Omics Insights for Precision Nutrition in Type 1 Diabetes and Obesity-Associated Type 1 Diabetes Among the Pediatric Population in Qatar (Master's thesis, Hamad Bin Khalifa University (Qatar)).</article-title>
                    <year>2024</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.proquest.com/docview/3113498698">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Albishara</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hadid</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Haddad</surname>
                            <given-names>S</given-names>
                        </name>
</person-group>:
                    <article-title>Metabolic syndrome in overt and subclinical hypothyroidism Syrian patients.</article-title>
                    <source>

                        <italic toggle="yes">Acta Med Iran.</italic>
</source>
                    <year>2022</year>.
                    <pub-id pub-id-type="doi">10.32592/ami.2022.60.2.3</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Blann</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Heitmar</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <source>

                        <italic toggle="yes">A Guide to COVID-19 for Health Care Professionals.</italic>
</source>
                    <publisher-name>Cambridge Scholars Publishing</publisher-name>;<year>2022</year>.</mixed-citation>
            </ref>
            <ref id="ref5">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>B&#x0142;a&#x017c;ewicz</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Grywalska</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Macek</surname>
                            <given-names>P</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Research into the association of cadmium and manganese excretion with thyroid function and behavioral areas in adolescents with autism spectrum disorders.</article-title>
                    <source>

                        <italic toggle="yes">J. Clin. Med</italic>
</source>
                    <year>2022</year>;<volume>11</volume>(<issue>3</issue>):<fpage>579</fpage>.
                    <pub-id pub-id-type="pmid">35160030</pub-id>
                    <pub-id pub-id-type="doi">10.3390/jcm11030579</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8837100</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>DeCaro</surname>
                            <given-names>JA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Helfrecht</surname>
                            <given-names>C</given-names>
                        </name>
</person-group>:
                    <article-title>Applying minimally invasive biomarkers of chronic stress across complex ecological contexts.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Hum. Biol.</italic>
</source>
                    <year>2022</year>;<volume>34</volume>(<issue>11</issue>):<fpage>e23814</fpage>.
                    <pub-id pub-id-type="pmid">36201446</pub-id>
                    <pub-id pub-id-type="doi">10.1002/ajhb.23814</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9788276</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Duntas</surname>
                            <given-names>LH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Feldt-Rasmussen</surname>
                            <given-names>U</given-names>
                        </name>
</person-group>:
                    <article-title>Hypothyroidism, atherosclerosis and cardiovascular risk prevention.</article-title>
                    <source>

                        <italic toggle="yes">Nat Rev Endocrinol.</italic>
</source>
                    <year>2025</year>;<fpage>1</fpage>&#x2013;<lpage>14</lpage>.
                    <pub-id pub-id-type="doi">10.1038/s41574-025-01202-z</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Elzehery</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Abd El-Hafez</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Elsehely</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association of the E23K (rs5219) polymorphism in the potassium channel (KCNJ11) gene with diabetic neuropathy in type 2 diabetes.</article-title>
                    <source>

                        <italic toggle="yes">Gene.</italic>
</source>
                    <year>2024</year>;<volume>921</volume>:<fpage>148525</fpage>.
                    <pub-id pub-id-type="doi">10.1016/j.gene.2024.148525</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gandhi</surname>
                            <given-names>GD</given-names>
                        </name>
</person-group>:
                    <article-title>The Genetic Burden of Hypercholesterolemia in the Qatari Population (Doctoral dissertation, Hamad Bin Khalifa University (Qatar)).</article-title>
                    <year>2022</year>.
                    <ext-link ext-link-type="uri" xlink:href="https://www.proquest.com/docview/2730528200">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gill</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Cheed</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Morton</surname>
                            <given-names>VA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Evaluating the progression to hypothyroidism in preconception euthyroid thyroid peroxidase antibody&#x2013;positive women.</article-title>
                    <source>

                        <italic toggle="yes">J Clin Endocrinol Metab.</italic>
</source>
                    <year>2023</year>;<volume>108</volume>(<issue>1</issue>):<fpage>124</fpage>&#x2013;<lpage>134</lpage>.
                    <pub-id pub-id-type="doi">10.1210/clinem/dgac519</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hamad</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kreidieh</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hamdan</surname>
                            <given-names>MB</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Mapping the diverse genetic disorders and rare diseases among the Syrian population: implications on refugee health and health services in host countries.</article-title>
                    <source>

                        <italic toggle="yes">J Immigr Minor Health.</italic>
</source>
                    <year>2020</year>;<volume>22</volume>(<issue>6</issue>):<fpage>1347</fpage>&#x2013;<lpage>1367</lpage>.
                    <pub-id pub-id-type="pmid">32172498</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s10903-020-00987-7</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hazzaa</surname>
                            <given-names>AA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alsultan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kabalan</surname>
                            <given-names>Y</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Autoimmune thyroid disease in patients with type 1 diabetes mellites: A cross-sectional study from Syria.</article-title>
                    <source>

                        <italic toggle="yes">Medicine.</italic>
</source>
                    <year>2024</year>;<volume>103</volume>(<issue>4</issue>):<fpage>e36107</fpage>.
                    <pub-id pub-id-type="doi">10.1097/MD.0000000000036107</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Karar</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Eltahir</surname>
                            <given-names>SME</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ibrahim</surname>
                            <given-names>AMM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association Between Metabolic Syndrome and Subclinical Hypothyroidism: A Systematic Review.</article-title>
                    <source>

                        <italic toggle="yes">Cureus.</italic>
</source>
                    <year>2025</year>;<volume>17</volume>(<issue>5</issue>).</mixed-citation>
            </ref>
            <ref id="ref14">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kim</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gosnell</surname>
                            <given-names>JE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Roman</surname>
                            <given-names>SA</given-names>
                        </name>
</person-group>:
                    <article-title>Geographic influences in the global rise of thyroid cancer.</article-title>
                    <source>

                        <italic toggle="yes">Nat. Rev. Endocrinol.</italic>
</source>
                    <year>2020</year>;<volume>16</volume>(<issue>1</issue>):<fpage>17</fpage>&#x2013;<lpage>29</lpage>.
                    <pub-id pub-id-type="pmid">31616074</pub-id>
                    <pub-id pub-id-type="doi">10.1038/s41574-019-0263-x</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mahmood</surname>
                            <given-names>AT</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mohammed</surname>
                            <given-names>HA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shakir</surname>
                            <given-names>AH</given-names>
                        </name>
</person-group>:
                    <article-title>Reference Ranges Of Thyroid Function Tests For Infants Under One Year Age in Nineveh province, Iraq.</article-title>
                    <source>

                        <italic toggle="yes">Front. Digit. Health.</italic>
</source>
                    <year>2024</year>;<volume>13</volume>(<issue>3</issue>).</mixed-citation>
            </ref>
            <ref id="ref16">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mohammadparast-Tabas</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arab-Zozani</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Naseri</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Polychlorinated biphenyls and thyroid function: a scoping review.</article-title>
                    <source>

                        <italic toggle="yes">Rev. Environ. Health.</italic>
</source>
                    <year>2024</year>;<volume>39</volume>(<issue>4</issue>):<fpage>679</fpage>&#x2013;<lpage>706</lpage>.
                    <pub-id pub-id-type="pmid">37434382</pub-id>
                    <pub-id pub-id-type="doi">10.1515/reveh-2022-0156</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Msuega</surname>
                            <given-names>CD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ugande</surname>
                            <given-names>AA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Iorpagher</surname>
                            <given-names>KP</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Normative data of thyroid volume-ultrasonographic evaluation in clinically asymptomatic Nigerian adults at Benue state university teaching hospital, Makurdi.</article-title>
                    <source>

                        <italic toggle="yes">IJAM.</italic>
</source>
                    <year>2021</year>;<volume>8</volume>:<fpage>864</fpage>&#x2013;<lpage>871</lpage>.
                    <pub-id pub-id-type="doi">10.21859/ijam.82032</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Naous</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hijazi</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chalhoub</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Reference intervals for thyroid-stimulating hormone in the adult Lebanese population: Results from the last decade.</article-title>
                    <source>

                        <italic toggle="yes">Heliyon.</italic>
</source>
                    <year>2025</year>;<volume>11</volume>(<issue>3</issue>).
                    <pub-id pub-id-type="doi">10.1016/j.heliyon.2025.e28459</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Oron</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lazar</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Feldhamer</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Pediatric reference values of TSH should be personalized according to BMI and ethnicity.</article-title>
                    <source>

                        <italic toggle="yes">Eur J Endocrinol.</italic>
</source>
                    <year>2020</year>;<volume>183</volume>(<issue>4</issue>):<fpage>419</fpage>&#x2013;<lpage>426</lpage>.
                    <pub-id pub-id-type="doi">10.1530/EJE-20-0075</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rasoulizadeh</surname>
                            <given-names>Z</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Eftekhar</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ghadiri-Anari</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prevalence of anti-thyroid peroxidase antibodies among women with polycystic ovary syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Sci. Rep.</italic>
</source>
                    <year>2025</year>;<volume>15</volume>(<issue>1</issue>):<fpage>33563</fpage>.
                    <pub-id pub-id-type="pmid">41023145</pub-id>
                    <pub-id pub-id-type="doi">10.1038/s41598-025-18582-x</pub-id>
                    <pub-id pub-id-type="pmcid">PMC12480551</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Salameh</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al Achkar</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>El Boustany</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Reference intervals for thyroid-stimulating hormone, free thyroxine, free triiodothyronine, and total triiodothyronine in the Lebanese adult population.</article-title>
                    <source>

                        <italic toggle="yes">Ann. Clin. Biochem.</italic>
</source>
                    <year>2022</year>;<volume>59</volume>(<issue>4</issue>):<fpage>264</fpage>&#x2013;<lpage>271</lpage>.
                    <pub-id pub-id-type="doi">10.1177/00045632221077865</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shaheen</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shahzad</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sher</surname>
                            <given-names>N</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Impact of micronutrient status on thyroid function in adolescent Afghan refugees; a cross-sectional study.</article-title>
                    <year>2024</year>.</mixed-citation>
            </ref>
            <ref id="ref23">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shaheen</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shahzad</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sher</surname>
                            <given-names>N</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association of micronutrient status with thyroid function in adolescent Afghan refugees; a cross-sectional study.</article-title>
                    <source>

                        <italic toggle="yes">Thyroid Res.</italic>
</source>
                    <year>2025</year>;<volume>18</volume>(<issue>1</issue>):<fpage>23</fpage>.
                    <pub-id pub-id-type="doi">10.1186/s13044-025-00239-6</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shahrokh</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alsultan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kabalan</surname>
                            <given-names>Y</given-names>
                        </name>
</person-group>:
                    <article-title>The relationship between papillary thyroid carcinoma and preoperative TSH level: A cross-sectional study from Syria.</article-title>
                    <source>

                        <italic toggle="yes">Medicine.</italic>
</source>
                    <year>2023</year>;<volume>102</volume>(<issue>28</issue>):<fpage>e34283</fpage>.
                    <pub-id pub-id-type="pmid">37443517</pub-id>
                    <pub-id pub-id-type="doi">10.1097/MD.0000000000034283</pub-id>
                    <pub-id pub-id-type="pmcid">PMC10344587</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shannan</surname>
                            <given-names>G</given-names>
                        </name>
</person-group>:
                    <data-title>Thyroxine.</data-title>[Data set].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2026</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.18933537</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sharabi-Nov</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Babitzki</surname>
                            <given-names>EP</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Farhat</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Goiter Prevalence among Druze population.</article-title>
                    <year>2023</year>.</mixed-citation>
            </ref>
            <ref id="ref27">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Tarboush</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alsultan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alourfi</surname>
                            <given-names>Z</given-names>
                        </name>
</person-group>:
                    <article-title>The correlation of lipid profile with subclinical and overt hypothyroidism: A cross-sectional study from Syria.</article-title>
                    <source>

                        <italic toggle="yes">Medicine.</italic>
</source>
                    <year>2023</year>;<volume>102</volume>(<issue>37</issue>):<fpage>e34959</fpage>.
                    <pub-id pub-id-type="pmid">37713906</pub-id>
                    <pub-id pub-id-type="doi">10.1097/MD.0000000000034959</pub-id>
                    <pub-id pub-id-type="pmcid">PMC10508477</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Varghese</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Vijayalakshmi</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mukkadan</surname>
                            <given-names>JK</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Case control study of antioxidant markers in autoimmune thyroid disorders.</article-title>
                    <source>

                        <italic toggle="yes">Afr J Biomed Res.</italic>
</source>
                    <year>2024</year>;<volume>27</volume>(<issue>3</issue>):<fpage>999</fpage>&#x2013;<lpage>1004</lpage>.
                    <pub-id pub-id-type="doi">10.58965/ajbr.2024.027303</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>Z</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>Z</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Global trends in fall-induced hip fractures among perimenopausal women 1990 to 2021: results from the global burden of disease study 2021.</article-title>
                    <source>

                        <italic toggle="yes">Front. Public Health.</italic>
</source>
                    <year>2025</year>;<volume>13</volume>:<fpage>1674535</fpage>.
                    <pub-id pub-id-type="pmid">41164841</pub-id>
                    <pub-id pub-id-type="doi">10.3389/fpubh.2025.1674535</pub-id>
                    <pub-id pub-id-type="pmcid">PMC12558873</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report477039">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.196614.r477039</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Wijaya</surname>
                        <given-names>Andreas Budi</given-names>
                    </name>
                    <xref ref-type="aff" rid="r477039a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9837-4160</uri>
                </contrib>
                <aff id="r477039a1">
                    <label>1</label>Universitas Negeri Malang, Malang, East Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>4</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Wijaya AB</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport477039" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.178247.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This manuscript addresses a&#x00a0;highly relevant clinical chemistry and endocrinology question, namely the establishment of&#x00a0;population-specific thyroid-stimulating hormone (TSH) reference intervals (RIs)&#x00a0;in a conflict-affected setting. The large dataset (n = 9,735) is a major strength. However,&#x00a0;significant methodological, statistical, and interpretative limitations&#x00a0;currently undermine the&#x00a0;validity and clinical applicability&#x00a0;of the conclusions.</p>
            <p> The study uses an&#x00a0;indirect method&#x00a0;(retrospective laboratory database), but the manuscript does not sufficiently address&#x00a0;inherent biases. The dataset includes&#x00a0;unfiltered clinical samples, likely containing subclinical thyroid disease, treated hypothyroidism/hyperthyroidism, non-thyroidal illness (NTIS); which might lead to&#x00a0;systematic inflation of upper reference limits, particularly evident in adult male RI (7.01 &#x03bc;IU/mL) and extremely high CV (117.9%). My recommendation is to apply&#x00a0;refined indirect methods, such as Hoffmann method, Bhattacharya method, or Truncated maximum likelihood</p>
            <p> For the statistical methodology, TSH distribution is&#x00a0;non-Gaussian (right-skewed) and the use of mean &#x00b1; 2SD will produce negative lower limits (biologically impossible) and overestimation of upper limits. So, the preferred method is non-parametric percentile (2.5th&#x2013;97.5th)/ My recommendation is to recalculate RIs using non-parametric method (&#x2265;120 samples per subgroup required; already met) or log-transformed data. As the artificial truncation to 0.00 &#x03bc;IU/mL is&#x00a0;statistically invalid, the author might use log transformation or quantile-based estimation</p>
            <p> For pre-analytical and analytical variables, there were some missing key variables such as fasting status, time of sampling (TSH circadian variation), medication use (Levothyroxine and Amiodarone), pregnancy status and iodine intake. It might affect the result because TSH is highly sensitive to circadian rhythm (variation up to 50%) and acute illness. My recommendation is to provide exclusion criteria or stratification</p>
            <p> Based on single center dataset (Damascus), female predominance and small adolescent subgroup which might impact on limited generalizability and potential&#x00a0;selection bias (referral bias), my recommendation is to perform weighted analysis and bootstrapping for small subgroups</p>
            <p> Limitations should be explicitly stated about indirect method bias, lack of healthy population filtering, non-Gaussian distribution mismanagement, missing clinical covariates, single-center design and absence of validation cohort</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Pediatrics, Hematology, Cancer Research, Cardiology, In vitro Diagnostic, Endocrinology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
