<?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.123147.1</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>Evaluation of assisted reproductive technology treatment outcomes based on stimulation dosages and anti-Mullerian hormone levels</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>Pannu</surname>
                        <given-names>Navdeep Singh</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>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9657-648X</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>Samsudin</surname>
                        <given-names>Nurulhafizah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ye</surname>
                        <given-names>Lo Jia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tian</surname>
                        <given-names>Tee Sze</given-names>
                    </name>
                    <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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Obstetrics, Gynaecology &amp; Fertility, TMC Fertility &amp; Women's Specialist Centre, Puchong, Selangor, 47100, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:drpannu@hotmail.com">drpannu@hotmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>9</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1035</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>4</day>
                    <month>8</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Pannu NS et al.</copyright-statement>
                <copyright-year>2022</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/11-1035/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Serum levels of anti-M&#x00fc;llerian hormone (AMH) have a significant association with ovarian response in the event of assisted reproductive technology (ART) treatment cycles. The present study was performed to evaluate the ovarian stimulation protocols selection with respect to serum AMH levels in patients and its impact on ART outcome.</p>
                <p>
                    <bold>Methods:</bold> Based on the serum AMH, 191 women were classified as low, normal and high responders. Follicle Stimulating Hormone (FSH) and Human Menopausal Gonadotropin (HMG) dosages in controlled ovarian stimulation were determined. Retrieval, maturation, fertilization and utilization rates were measured. Subgroup analysis was done using one-way ANOVA followed by post hoc analysis. The relationship between AMH levels and fertilization was determined using Pearson&#x2019;s correlation analysis. A p-value &lt;0.05 was considered as statistically significant.</p>
                <p>
                    <bold>Results:</bold> According to AMH levels, the majority of the patients were normal responders (52.4%) followed by high responders (29.8%) and low responders (17.8%). The average FSH, HMG per day and number of days HMG required was found to be significant among the different responders. Further, retrieval rate and blastulation rate was found to be significant among the different responders. A positive correlation was found between AMH and the number of oocytes retrieved and number of oocytes successfully fertilized, which was found to be significant. In addition, there was a significant inverse relationship between AMH levels and age.</p>
                <p>
                    <bold>Conclusions:</bold> The study outcomes revealed that the rates of retrieval, maturation, fertilization, embryo utilization and blastulation were higher among the high responders compared with the low responders. Thus, proper increase in dosages of ovarian stimulation protocol is required among the low responders to achieve quality embryos.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Anti-Mullerian hormone</kwd>
                <kwd>ART</kwd>
                <kwd>infertility</kwd>
                <kwd>ovarian stimulation protocols</kwd>
                <kwd>blastulation rate</kwd>
                <kwd>oocyte retrieval</kwd>
                <kwd>embryo utilization rate</kwd>
                <kwd>fertilization rate</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="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Infertility is a clinical condition, in which there is a failure to achieve pregnancy even after unprotected intercourse for a period of 12 months. Globally, the prevalence of infertility is estimated at 8&#x2013;12% for women aged 20&#x2013;44 years old, with 1 in 6 couples experiencing some form of infertility problems (
                <ext-link ext-link-type="uri" xlink:href="https://www.eshre.eu/-/media/sitecore-files/Press-room/ESHRE_ARTFactSheet_2022.pdf?la=en&amp;hash=223AAF16CEC0EC6510EB371B52BE10384892AF49">ART fact sheet, European Society of Human Reproduction and Embryology</ext-link>). Recently, in Malaysia the total fertility rate of women of reproductive age in Malaysia has declined to 1.7 babies in 2020 as compared to 1.8 in 2019.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> One of the hallmark causes of infertility in the majority of the population is delaying conception to the late thirties or in early forties.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Physiological ovarian aging is referred to as an age-mediated decrease in functional ovarian reserve within expected ranges. Previous reports have shown that female ovarian reserves decrease with substantial increases in age. The ability of fertilization during natural and stimulated ovarian cycles declines with maternal age, and thus optimal fertility is achieved in the age range between 20&#x2013;30 years old.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Globally, recent socio-economic changes have led to increases in infertility rates and there have also been increased numbers of women approaching for assisted reproductive technology (ART) treatments. While mounting treatment strategies are employed in the management of infertility, such as intrauterine insemination (IUI), to 
                <italic toggle="yes">in vitro</italic> fertilization (IVF), intra-cytoplasmatic sperm injection (ICSI), testicular sperm extraction (TESE) and preimplantation genetic testing (PGT), ART still remains the gold standard for controlled ovarian stimulation.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Various markers of ovarian reserve, which determines the quantity of primordial follicles and oocyte quality, have been established as predictors of ovarian response.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Among the biochemical parameters, such as basal follicle stimulating hormone (FSH), estradiol and inhibin levels may differ during the menstrual cycle and thus their diagnostic utility is limited.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Imaging modality using transvaginal ultrasonography is used to evaluate the antral follicle count (AFC) but its sensitivity is affected by sonographers' intra- and inter-observer reproducibility.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>Anti-M&#x00fc;llerian hormone (AMH), a dimeric glycoprotein that belongs to the transforming growth factor-&#x03b2; (TGF-&#x03b2;) family, has been determined as an effective surrogate marker in the evaluation of functional ovarian follicle reserve.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> AMH is synthesized by granulosa cells of the preantral and small antral follicles and also serves as a follicular gatekeeper by blocking the initial follicle recruitment and FSH-mediated growth and selection.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> When compared with other ovarian reserve biomarkers, AMH displays high sensitivity for stability and good measurement repeatability. Earlier reports have shown the diagnostic accuracy of AMH levels in the prediction of high and poor responses during gonadotropin-releasing hormone (GnRH) agonist or GnRH antagonist protocols
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> and also in AMH-mediated ovarian stimulation.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Safe and effective ovarian stimulation is a pivotal step in the success of ART treatment cycles. It is important to categorize patients who plan to undertake ART as normal, poor or high responders, thus choosing the appropriate dosage of gonadotropin for every patient that could yield a suitable number of oocytes.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> In this backdrop, the present study was performed to evaluate the FSH and Human Menopausal Gonadotropin (HMG) dosages on the outcomes of ART in low, normal and high responders.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Patients</title>
                <p>A total of 191 women aged 18&#x2013;45 years old who were undergoing ART were recruited at TMC Fertility and Women&#x2019;s Specialist Centre, Puchong, Selangor, Malaysia using a convenience sampling method. This study was approved by the Ethics Committee of Thomson Hospital Kota Damansara, Malaysia in January 2020 (ref no. THKD/GMA/EC/0622/001). TMC Fertility &amp; Women&#x2019;s Specialist Centre is a branch and subsidiary of Thomson Hospital, hence all ethical clearance for research and studies must be from the Thomson Hospital, Kota Damansara Ethics Committee. Written informed consent was obtained from all the patients and it was documented in all their case notes. The study was conducted between March and May 2022.</p>
            </sec>
            <sec id="sec4">
                <title>Inclusion criteria</title>
                <p>The population of the study included female patients ranging between the ages of 18&#x2013;45 years old.</p>
            </sec>
            <sec id="sec5">
                <title>Exclusion criteria</title>
                <p>Patients undergoing cancer therapy, oocyte donors and patients on immune suppressant drugs were excluded from this study.</p>
            </sec>
            <sec id="sec6">
                <title>Collection of blood samples</title>
                <p>Blood samples were collected within 12 months on commencement of the treatment. The blood samples were centrifuged at 3,000 rpm for 10 min to obtain the blood serum.</p>
            </sec>
            <sec id="sec7">
                <title>Measurement of AMH levels</title>
                <p>AMH levels were measured using Electrochemiluminescence Immunoassay (ECLIA) kit (Roche) (Catalogue number: 06331076190) according to the manufacturer&#x2019;s instructions mentioned in the protocol at the Gribbles Pathology Laboratory in Petaling Jaya, Selangor, Malaysia. According to the AMH levels, the patients were classified as low responders (AMH &#x2264; 5.4 pmol/L), normal responders (5.5&#x2013;24.9 pmol/L), and high responders (&#x2265;25 pmol/L) based on the guidelines by the National Institute of Health and Care Excellence (NICE).
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec8">
                <title>Ovarian stimulation and fresh embryo transfer</title>
                <p>Ovarian stimulation was done by using various combinations of FSH market preparations. It was either Puregon by MSD, Gonal F by Merck Serono or Folliculin by Bharat Serums. The HMG used in the study was either from Humog by Bharat Serums or Menopur by Ferring. The stimulation protocol was performed by decreasing the pituitary levels using GnRH agonist (long stimulation) or by GnRH antagonist to restrict the premature ovulation. Ultrasound follicular tracking was used to determine the doses. To avoid hyperstimulation, when a minimum of two follicles were 17 mm in diameter or one follicle had a diameter higher than 18 mm were detected, HCH 5,000 or 10,000&#x2009;IU 0.2 mg Decapeptyl was administered for the final oocyte maturation. After 35 to 36 hours of hCG or agonist administration, the oocytes were retrieved under vaginal ultrasound-guided ovarian needle puncture. Among the study participants who were considered as high risk for ovarian hyperstimulation syndrome (OHSS), the embryos were cryopreserved. The physician decision to extend the embryo culture to five days rather than the routine culture of three days was dependent on the number of embryos with good morphological quality at day three. Vaginal micronized progesterone was given for luteal support until 12&#x2009;weeks of pregnancy. FSH and HMG dosages in controlled ovarian stimulation were determined. Retrieval, maturation, fertilization and utilization rates were measured.</p>
            </sec>
            <sec id="sec9">
                <title>Data analysis</title>
                <p>The data were represented as mean&#x00b1;SD. Descriptive analysis was done for the demographics and clinical characteristics. Subgroup analysis was done using one-way ANOVA followed by Tukey&#x2019;s post hoc analysis between the groups. The correlation between AMH levels and different fertilization variables was determined using Pearson&#x2019;s correlation analysis. The data were analyzed using 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ibm.com/products/spss-statistics">IBM SPSS Statistics</ext-link> software version 24 (RRID:SCR_016479). P&lt;0.05 was considered as statistically significant. The missing data were omitted and not included in the final analysis</p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="results">
            <title>Results</title>
            <p>This prospective study was conducted on 191 patients who met the inclusion criteria. The basic demographics and clinical characteristic of the participants are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup>
            </p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Demographics and clinical characteristics of the study population.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00b1;SD (n=191)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age, years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.9&#x00b1;4.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ethnicity, %</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Chinese</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.4%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Indian</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.0%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Malay</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.9%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Others</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.8%</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AMH, pmol/mL</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.6&#x00b1;17.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average FSH per day, IU</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">240.8&#x00b1;216.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average number of days of FSH</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.43&#x00b1;2.84</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average HMG per day, IU</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">96.7&#x00b1;100</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total number of days of HMG</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.1&#x00b1;4.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average number of egg follicles on last USG scan before retrival</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13.1&#x00b1;7.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Average number of oocytes successfully fertilized</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.07&#x00b1;5.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Number of embryo utilized</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.02&#x00b1;3.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Retrival rate, %</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">84.7&#x00b1;23.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Maturation rate, %</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">76.1&#x00b1;23.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fertilization rate, %</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63.9&#x00b1;26.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Blast rate, %</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.4&#x00b1;34.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Embryo utilization rate, %</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">49.3&#x00b1;29.5</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>AMH, anti-M&#x00fc;llerian hormone; FSH, Follicle Stimulating Hormone; HMG, Human Menopausal Gonadotropin; USG, ultrasonogram.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Regarding age distribution, the majority of the participants were aged between 30&#x2013;35 years old (40.8%), followed by 36&#x2013;40 years old (34%). The results are shown in 
                <xref ref-type="table" rid="T2">Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Age wise distribution of the study participants.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Age range</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">n (%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age, years</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Less than 20</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1 (0.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;20&#x2013;25</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5 (2.6%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;26&#x2013;30</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (6.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;30&#x2013;35</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">78 (40.8%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;36&#x2013;40</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">65 (34%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;41&#x2013;45</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (15.7%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">191 (100%)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>AMH distribution among the study participants is shown in 
                <xref ref-type="table" rid="T3">Table 3</xref>. According to the AMH levels, the majority of the patients were normal responders (AMH:5.5&#x2013;24.9 pmol/L), which constituted 52.4% of patients, high responders (AMH: &#x2265; 25 pmol/L) encompassing 29.8% of patients and low responders (AMH &#x2264; 5.4 pmol/L), which constituted 17.8% of patients.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Distribution of AMH levels among the study participants.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">AMH levels, pmol/L</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Frequency</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Percentage, %</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2264;5.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.5&#x2013;24.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2265;25</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">57</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29.8</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>AMH, anti-M&#x00fc;llerian hormone.</p>
                </table-wrap-foot>
            </table-wrap>
            <sec id="sec11">
                <title>ART outcomes</title>
                <p>Subgroup analysis using ANOVA showed that average FSH per day (p=0.01) and average HMG per day (p=0.002) among low, normal and high responders were significantly different, with low responders needing higher amounts of HMG and FSH per day than high responders. Also, high responders needed a fewer number of days of HMG than low responders and the difference was statistically significant. The number of oocytes retrieved was statistically significant (p=0.001) among different responders. The number of oocytes retrieved among high responders was comparatively more than low responders. The retrieval rate was statistically significant (p=0.001) among different responders. The retrieval rate among high responders was comparatively higher than low responders. The blastulation rate was statistically significant (p=0.02) among different responders. The retrieval rate among high responders was comparatively higher than low responders. However, rates of maturation (p=0.45), fertilization (p=0.07) and embryo utilization (p=0.51) were not statistically significant among the groups. The results are shown in 
                    <xref ref-type="table" rid="T4">Table 4</xref>.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>ART outcome based on the AMH category.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean&#x00b1;SD (Total n=191)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">P-value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Avg FSH per day, IU</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders (AMH &#x2264; 5.4 pmol/L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">236.2&#x00b1;121.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.017
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders (5.5&#x2013;24.9 pmol/L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">278.0&#x00b1;284.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders (&#x2265;25 pmol/L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">175.6&#x00b1;57.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Days of FSH</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.6&#x00b1;4.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.101
                                    <sup>NS</sup>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.8&#x00b1;1.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.4&#x00b1;2.8</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Days of HMG</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.4&#x00b1;4.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.002
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.6&#x00b1;4.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.3&#x00b1;4.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Avg HMG per day, IU</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">136.7&#x00b1;133.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.002
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">101.9&#x00b1;80.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.4&#x00b1;96.3</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Oocytes retreived</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.3&#x00b1;3.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.9&#x00b1;8.3</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.9&#x00b1;10.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Retrival rate, %</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">67.9&#x00b1;32.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">88.1&#x00b1;19.3</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">high responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">89.7&#x00b1;18.0</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Maturation rate, %</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">75.5&#x00b1;34.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.456
                                    <sup>NS</sup>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">74.5&#x00b1;17.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">79.3&#x00b1;23.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Fertilization rate, %</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.9&#x00b1;36.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.074
                                    <sup>NS</sup>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">67.6&#x00b1;23.8</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.8&#x00b1;22.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Blastulation rate, %</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.4&#x00b1;42.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.02
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.9&#x00b1;29.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.6&#x00b1;34.6</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Embryo utilization rate, %</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Low responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.7&#x00b1;36.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.510
                                    <sup>NS</sup>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.0&#x00b1;27.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">High responders</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.9&#x00b1;28.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Comparison between the groups was performed using one-way ANOVA followed by post hoc comparison.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>Denotes p-value &lt;0.05 and considered as statistically significant. NS, non-significant; ART, assisted reproductive technology; AMH, anti-M&#x00fc;llerian hormone; FSH, Follicle Stimulating Hormone; HMG, Human Menopausal Gonadotropin.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec12">
                <title>Association between AMH levels and fertility parameters</title>
                <p>A positive correlation (r=0.617) was found between AMH and number of oocytes retrieved, which was statistically significant (p=0.01). Likewise, a positive correlation (r=0.545) was found between AMH and number of oocytes sucessfully fertilized and the association was statistically significant (p=0.01). However, the corelation found between AMH levels and number of embryos utilized was not statistically significant (r=0.08; p=0.23). The results are shown in 
                    <xref ref-type="fig" rid="f1">Figure 1</xref> and 
                    <xref ref-type="fig" rid="f2">Figure 2</xref>.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Association between AMH levels (pmol/L) and number of oocytes retrieved.</title>
                        <p>AMH, anti-M&#x00fc;llerian hormone.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/135223/210f981c-61ab-45e3-9311-ad7a43eafbd2_figure1.gif"/>
                </fig>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Association between AMH levels and number of oocytes successfully fertilized.</title>
                        <p>AMH, anti-M&#x00fc;llerian hormone.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/135223/210f981c-61ab-45e3-9311-ad7a43eafbd2_figure2.gif"/>
                </fig>
                <p>Association between age and AMH levels are shown in 
                    <xref ref-type="fig" rid="f3">Figure 3</xref>. A negative correlation (r=-0.391) exists between age and AMH levels (as age increases AMH levels decrease) and the association was found to be significant (p=0.01).</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Association between AMH levels and age.</title>
                        <p>AMH, anti-M&#x00fc;llerian hormone.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/135223/210f981c-61ab-45e3-9311-ad7a43eafbd2_figure3.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>Discussion</title>
            <p>The present study confirmed the usefulness of AMH as a reliable biomarker of ovarian function. A mounting number of studies have shown that AMH is a new technique for the evaluation of ovarian reserve. AMH levels decrease throughout a woman&#x2019;s reproductive life.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Serum AMH levels on day three of the menstrual cycle display marked reduction with age and show marked association with AFC. During spontaneous menopause, undetectable AMH concentration have been observed.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> In women with normal menstrual phase, oophorectomy leads to the disappearance of AMH in three to five days, and thus substantiates that circulating AMH is attributed to ovarian origin.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> AMH is a reliable endocrine marker, which provides information about the transition of resting primordial follicles to growing follicles. AMH levels show a decreasing pattern five years before the last menstrual cycle and thus showcases the biological event of menopause.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>In the present study, based on the AMH levels the patients were categorized as low, normal and high responders. We observed a high prevalence of normal responders, with 52.4% as compared to high responders (29.8%) and low responders (17.8%). In the current study, the average FSH per day was significantly higher in low responders as compared to high and normal responders. Earlier trials showed that the oocyte yield can be upregulated using higher doses of FSH,
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> thus in routine clinical practice, the low responders must be treated with higher doses as compared to the standard FSH dose of 150 IU/day (from 225 to 600 IU/day) to increase the number of retrieved oocytes. Similarly, the average HMG per day was significantly higher in low responders as compared to high and normal responders. There has been no marked difference between HMG and FSH for ovarian stimulation with respect to intermediate outcome and ART surrogate markers. Further for both HMG and FSH, the outcomes are similar for Metaphase II (MII) matured oocytes, frequency of high-quality embryos, zona pellucida morphology, and polar body evaluation.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Previous reports have shown that there are no marked effects in the number of oocytes retrieved with HMG, however mounting studies indicate that there has been minimal decrease in the number of oocytes retrieved (typically around one oocyte less per retrieval).
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>In the present study, oocytes retrieved, retrieval rate and blastulation rate were significantly higher in high responders compared with low responders. To some extent, the results shown were anticipated as AMH has been used an indicator of oocyte reserve in previous studies, whereas the resulting fertilized or transferred embryos may be due to a chance process based on many various factors such as quality of oocyte and sperm.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Furthermore, in our study there were no significant differences in the maturation rates, fertilization rates and embryo utilization rates among the low, normal and high responders. Similarly in a study conducted by Umarsingh 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> there was no statistically significant relationship between numbers of oocytes fertilized 
                <italic toggle="yes">vs.</italic> AMH category (p&gt;0.05).</p>
            <p>In the present study, there was a positive significant relationship between AMH and number of oocytes retrived and number of oocytes sucessfully fertilized. Similar to the present study, Kotanidis 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> reported that there was a strong, positive correlation between AMH and the number of collected oocytes. Furthermore, Wiweko 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> also reported that serum AMH levelsarethe signficant predictor of oocyte quality. Meanwhile, we have observed non-significant associationsbetween AMH levels and the number of embryos utilized. Our study corroborates with the findings of Umarsingh 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> where there was no signficant relationship between AMH and embryo utilization.</p>
            <p>The Pearson&#x2019;s correlation test found an R-value of -0.328 between AMH and age, thus showing that there was a negative association, which was found to be significant (p=0.01). A stronger relationship between these two variables was expected as it is known that as age increases, AMH should decrease. Also, itis suggested that serum AMH is identified as the improved endocrine marker to measure the reproductive capability in advanced age. Similarly, Ishii 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> reported an inverse moderate correlation (correlation coefficient r=-0.5, p&lt;0.01) between age and AMH levels.</p>
        </sec>
        <sec id="sec14" sec-type="conclusions">
            <title>Conclusions</title>
            <p>In conclusion, the study outcome revealed that AMH serves as a reliable marker to evaluate ovarian reserve and may benefit women with advanced age planning for pregnancy. Albeit AMH hormone serves as an effective endocrine marker however, its valuable role in the assessment of decline in the ovarian pool must be compared with other markers. AMH can also significantly predict the number of oocytes retrieved and number of oocytes sucessfully fertilized. Further, the study findings also confirmed that age displayed signficant assocaition with AMH levels. In addition, the rates of retrieval, maturation, fertilization, embryo utilization and blast were higher among the high responders as compared to low responders. Thus, increase in dosages of ovarian stimulation protocol is required among the low responders to achieve quality embryos. During counseling, the level of AMH is important to educate patients regarding the high dose of medication administration in order to achieve a good outcome.</p>
        </sec>
        <sec id="sec15">
            <title>Data availability</title>
            <sec id="sec16">
                <title>Underlying data</title>
                <p>Dryad: Evaluation of assisted reproductive technology treatment outcomes based on stimulation dosages and anti-mullerian hormone levels. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5061/dryad.gxd2547pr">https://doi.org/10.5061/dryad.gxd2547pr</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>AMH_new_data_18012022 (patient spreadsheet data)</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>README_file (key for coding schemes)</p>
                        </list-item>
                    </list>
                </p>
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    </back>
    <sub-article article-type="reviewer-report" id="report203007">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.135223.r203007</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Huang</surname>
                        <given-names>Jia</given-names>
                    </name>
                    <xref ref-type="aff" rid="r203007a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0009-0004-0028-5154</uri>
                </contrib>
                <aff id="r203007a1">
                    <label>1</label>Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China</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>29</day>
                <month>9</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Huang J</copyright-statement>
                <copyright-year>2023</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="relatedArticleReport203007" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.123147.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The association between AMH and female fertility has been extensively studied over the last two decades. AMH is not only an indicator of ovarian reserve but also a measure of follicular quality in some studies. The association between AMH and IVF outcomes is indisputable. This study explored the correlation between AMH and IVF parameters using single-centre data. There is a high risk of bias in this paper due to factors such as study design as well as drafting. 
                <list list-type="order">
                    <list-item>
                        <p>The authors state that this is a prospective study. However, there is a lack of description of the study process involved. Information on when the study was conducted, number of cases recruited for the study, number of cases that met the inclusion criteria, number of cases excluded and reasons for exclusion is missing. A flow chart is recommended.</p>
                    </list-item>
                    <list-item>
                        <p>The number of cases included in the study was too small. Subgroup analyses were performed with small subgroup sample sizes and results were not robust. Rates fluctuated more by chance with small sample sizes.</p>
                    </list-item>
                    <list-item>
                        <p>Inclusion criteria are too simple, especially with small sample sizes, and potential influences can lead to biased interpretations.</p>
                    </list-item>
                    <list-item>
                        <p>It is well known that factors affecting AMH include BMI, ovarian surgery, etc., in addition to age, and relevant information is missing.</p>
                    </list-item>
                    <list-item>
                        <p>The description of the IVF process is overly simplistic. For example, whether or not follicular flushing is performed with a double-lumen needle affects harvest rates in poor responders. Whether or not a mild stimulation protocol is used affects the amount of Gn used, the number of eggs harvested, etc.</p>
                    </list-item>
                    <list-item>
                        <p>Scatter plot Figure 1 shows that AMH is not linearly related to the number of eggs acquired. Whether other correlation studies were attempted.</p>
                    </list-item>
                    <list-item>
                        <p>The discussion section offers no new ideas or insights. Mere listing of literature data and lack of further reflection.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>No</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>No</p>
            <p>Reviewer Expertise:</p>
            <p>Reproductive endocrinology and infertility</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>
