<?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="other" 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.144148.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Study Protocol</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Observational and cross-sectional study on clinical profile of nontuberculous mycobacterial (NTM) disease in patients at tertiary care hospital of central India</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Dinesh Bhanushali</surname>
                        <given-names>Jay</given-names>
                    </name>
                    <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/">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/0000-0003-2962-3327</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>Ghewade</surname>
                        <given-names>Dr Babaji</given-names>
                    </name>
                    <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/">Writing &#x2013; Original Draft Preparation</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>Jadhav</surname>
                        <given-names>Dr Ulhas</given-names>
                    </name>
                    <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/">Writing &#x2013; Original Draft Preparation</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>Respiratory Medicine, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:jay.bhanushali94@gmail.com">jay.bhanushali94@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>9</day>
                <month>5</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>463</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>24</day>
                    <month>4</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Dinesh Bhanushali J et al.</copyright-statement>
                <copyright-year>2024</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/13-463/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Nontuberculous Mycobacterial (NTM) diseases present unique clinical challenges and are increasingly recognised as significant contributors to respiratory and extrapulmonary morbidity. This study protocol outlines an observational and cross-sectional investigation aiming to comprehensively understand the clinical profile of NTM disease, including its prevalence, risk factors, and clinical features, in patients at a tertiary care hospital in central India.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Over two years, from July 2022 to June 2024, a convenience sample size will be recruited from TB suspects meeting inclusion criteria. Comprehensive data collection will be conducted, including demographic information, clinical history, radiological findings, microbiological test results, and risk factor assessments. Statistical methods will be applied to the collected data, including descriptive statistics, comparative analysis, risk factor assessments, and multivariate analyses.</p>
                </sec>
                <sec>
                    <title>Expected Results</title>
                    <p>The study aims to provide valuable insights into the prevalence and clinical manifestations of NTM disease, shedding light on the risk factors contributing to its occurrence. The statistical analyses will identify key factors associated with NTM disease and characterise its clinical and radiological features.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Nontuberculous Mycobacterial (NTM) Disease</kwd>
                <kwd>Clinical Profile</kwd>
                <kwd>Prevalence</kwd>
                <kwd>Risk Factors</kwd>
                <kwd>Tertiary Care Hospital</kwd>
                <kwd>Central India</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="sec4" sec-type="intro">
            <title>Introduction</title>
            <p>Nontuberculous Mycobacterial (NTM) diseases, caused by various species of mycobacteria other than Mycobacterium tuberculosis, have garnered increasing recognition for their clinical significance and impact on respiratory and extrapulmonary health. These infections present a complex clinical profile, often mimicking tuberculosis (TB) and posing diagnostic and therapeutic challenges.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> In central India, a region with a diverse healthcare landscape, understanding the clinical characteristics, prevalence, and risk factors associated with NTM diseases is essential for improving patient care, diagnosis, and management.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>NTM diseases primarily affect individuals with underlying respiratory conditions, immunosuppression, or other risk factors. Moreover, their clinical presentation can range from mild respiratory symptoms to severe, life-threatening infections. As central India grapples with a high burden of TB and diverse environmental factors, differentiating NTM diseases from TB and elucidating their clinical features become paramount for precise diagnosis and appropriate management.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>This study protocol outlines an observational and cross-sectional research endeavour, with a primary objective to comprehensively investigate the clinical profile of NTM disease in patients at a tertiary care hospital in central India. The study seeks to determine the prevalence of NTM disease among TB suspects, examine various risk factors contributing to NTM infections, and elucidate the clinical and radiological features that distinguish NTM diseases from other respiratory conditions. In doing so, the study aims to provide valuable insights into the epidemiology and clinical characteristics of NTM diseases in the specific context of central India.</p>
            <p>The research findings can inform healthcare professionals, public health initiatives, and policy-makers, ultimately leading to better diagnostic accuracy and tailored therapeutic strategies for NTM disease. Furthermore, this study contributes to a broader understanding of pulmonary and extrapulmonary diseases in the region, underscoring the growing importance of NTM diseases in the context of public health and patient care.</p>
            <sec id="sec5">
                <title>Aim</title>
                <p>To study the Clinical profile of NTM disease.</p>
            </sec>
            <sec id="sec6">
                <title>Objectives</title>
                <p>
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>To determine the prevalence of NTM disease among TB suspects at Acharya Vinoba Bhave Rural Hospital</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>To study various risk factors of NTM disease</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>To study Clinical and radiological features of confirmed NTM disease patient</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec7" sec-type="methods">
            <title>Methods</title>
            <sec id="sec8">
                <title>Study design</title>
                <p>This study will adopt an observational and cross-sectional design to assess the clinical profile of Nontuberculous Mycobacterial (NTM) disease in patients at a tertiary care hospital in central India (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Diagnostic algorithm for detection of non-tuberculous mycobacteria.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/157902/cce25b94-c7bb-415d-af29-12b5962d8eb5_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec9">
                <title>Study population</title>
                <p>The study will focus on individuals in central India who are TB suspects and fulfil the inclusion criteria for NTM disease. The study population includes pulmonary and extrapulmonary NTM disease patients, irrespective of gender, aged 12 years or older. These patients may have clinical symptoms, radiological findings, microbiological evidence suggestive of NTM disease, and those suspected of having drug-resistant TB (DR-TB).</p>
            </sec>
            <sec id="sec10">
                <title>Place of study</title>
                <p>The study will be conducted at Acharya Vinoba Bhave Rural Hospital, a tertiary care hospital in central India.</p>
                <p>
                    <bold>Inclusion criteria:</bold> To be eligible for inclusion in the study, patients must meet the following criteria:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Age: Patients should be 12 years of age or older.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Gender: Inclusion is irrespective of gender.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Clinical criteria:</p>
                            <list list-type="bullet">
                                <list-item>
                                    <label>&#x2022;</label>
                                    <p>Pulmonary NTM disease: Patients should exhibit pulmonary symptoms or have nodular or cavitary opacities on chest radiograph or an HRCT scan showing multifocal bronchiectasis with multiple small nodules.</p>
                                </list-item>
                                <list-item>
                                    <label>&#x2022;</label>
                                    <p>Extrapulmonary NTM disease: Patients with disseminated disease, including skin involvement, especially following organ transplantation.</p>
                                </list-item>
                            </list>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>Microbiological criteria: Patients should have positive culture results from at least two separate expectorated sputum samples.</p>
                        </list-item>
                        <list-item>
                            <label>5.</label>
                            <p>DR-TB suspects: Patients suspected of having drug-resistant TB (DR-TB).</p>
                        </list-item>
                    </list>
                </p>
                <p>
                    <bold>Exclusion criteria:</bold> Patients will be excluded from the study if they meet any of the following criteria:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Active Tuberculosis (TB) patients: Individuals with a confirmed diagnosis of active TB will not be included in this study, as the focus is on NTM disease.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Declining informed consent: Patients who must provide written informed consent for participation in the study will be excluded. Informed consent is essential to ensure voluntary participation and ethical considerations.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec11">
                <title>Bias</title>
                <p>
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>
                                <bold>Selection bias:</bold> This type of bias occurs when the study sample does not represent the target population. To mitigate selection bias, ensure that study participant recruitment is done systematically and unbiasedly, adhering to the inclusion and exclusion criteria. Random sampling or stratified sampling methods can help minimise selection bias.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>
                                <bold>Information bias:</bold> Information bias arises from inaccuracies in data collection, either due to measurement error or misclassification of study variables. To reduce information bias, use standardised data collection tools, train data collectors, and establish quality control measures. Additionally, consider blinding data collectors to the research hypothesis to prevent measurement bias.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>
                                <bold>Confounding bias:</bold> Confounding bias occurs when a third variable influences the relationship between the exposure and the outcome. Conduct a multivariate analysis to control for potential confounding variables to address confounding. This may involve stratification, matching, or including confounders as covariates in statistical models.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec12">
                <title>Data collection process</title>
                <p>The data collection process for this observational and cross-sectional study on the clinical profile of Nontuberculous Mycobacterial (NTM) disease involves several structured steps to ensure precise and comprehensive information acquisition. This organised approach meets the study&#x2019;s objectives while maintaining patient confidentiality and ethical standards.</p>
                <p>
                    <bold>Patient identification and recruitment:</bold> Patients eligible for participation, as per the inclusion criteria outlined in the study protocol, will be identified through various channels, including referrals from healthcare providers, TB clinics, and other medical facilities. These patients, who provide voluntary written informed consent, will be recruited into the study.</p>
                <p>
                    <bold>Informed consent:</bold> Before commencing data collection, patients will be given a clear and detailed explanation of the study&#x2019;s purpose, goals, and the procedures involved. Patients will be requested to provide written informed consent, signifying their willingness to participate in the research.</p>
                <p>
                    <bold>Data collection tools:</bold> Specialized data collection forms and questionnaires will be developed to capture relevant information systematically. These tools will encompass sections for demographic data, medical history, clinical symptoms, radiological findings, microbiological test results, and an assessment of potential risk factors.</p>
                <p>
                    <bold>Data collection:</bold> Highly trained healthcare professionals, including physicians, nurses, or research assistants, will conduct in-person interviews with the study participants. These interviews will delve into various topics, such as the patients&#x2019; medical histories, symptom profiles, potential risk factors, and medication histories. Additionally, clinical examinations will assess the patient&#x2019;s physical conditions, with any relevant findings meticulously recorded. Radiological data will be gathered by reviewing chest radiographs and HRCT scans to document the presence of opacities, nodules, and bronchiectasis. Microbiological data will be collected by analysing sputum samples, including culture results from at least two samples.</p>
                <p>
                    <bold>Quality control:</bold> To ensure the precision and reliability of the collected data, regular training sessions will be conducted for data collectors, maintaining consistency in the data collection process. A thorough data review will be performed to confirm completeness and coherence, promptly addressing any discrepancies or missing information.</p>
                <p>
                    <bold>Data entry:</bold> All collected data will be securely entered into a dedicated database, prioritising data integrity and privacy.</p>
                <p>
                    <bold>Data analysis:</bold> After the data collection phase concludes, statistical and epidemiological analyses will be conducted to fulfil the study&#x2019;s objectives. This may involve determining the prevalence of NTM disease, identifying associated risk factors, and characterising the clinical profiles of NTM disease patients.</p>
            </sec>
            <sec id="sec13">
                <title>Sample size</title>
                <p>
                    <bold>Formula</bold>
                    <disp-formula id="e1">
                        <mml:math display="block">
                            <mml:mi mathvariant="normal">N</mml:mi>
                            <mml:mo>=</mml:mo>
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:msubsup>
                                        <mml:mi>Z</mml:mi>
                                        <mml:mrow>
                                            <mml:mn>1</mml:mn>
                                            <mml:mo>&#x2212;</mml:mo>
                                            <mml:mi>&#x03b1;</mml:mi>
                                            <mml:mo>/</mml:mo>
                                            <mml:mn>2</mml:mn>
                                        </mml:mrow>
                                        <mml:mn>2</mml:mn>
                                    </mml:msubsup>
                                    <mml:mo>&#x2217;</mml:mo>
                                    <mml:mi>p</mml:mi>
                                    <mml:mo>&#x2217;</mml:mo>
                                    <mml:mrow>
                                        <mml:mo stretchy="true">(</mml:mo>
                                        <mml:mn>1</mml:mn>
                                        <mml:mo>&#x2212;</mml:mo>
                                        <mml:mi>p</mml:mi>
                                        <mml:mo stretchy="true">)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                                <mml:msup>
                                    <mml:mi>D</mml:mi>
                                    <mml:mn>2</mml:mn>
                                </mml:msup>
                            </mml:mfrac>
                            <mml:mo>.</mml:mo>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>
                    <inline-formula>
                        <mml:math display="inline">
                            <mml:msub>
                                <mml:mi>Z</mml:mi>
                                <mml:mrow>
                                    <mml:mn>1</mml:mn>
                                    <mml:mo>&#x2212;</mml:mo>
                                    <mml:mi>&#x03b1;</mml:mi>
                                    <mml:mo>/</mml:mo>
                                    <mml:mn>2</mml:mn>
                                </mml:mrow>
                            </mml:msub>
                            <mml:mo>=</mml:mo>
                            <mml:mn>1.96</mml:mn>
                            <mml:mo>,</mml:mo>
                            <mml:mtext>at 5% level of significance</mml:mtext>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Prevalence of Annual prevalence of NTM infection = 0.5%.</p>
                <p>
                    <italic toggle="yes">p</italic> = 0.5% (As per reference article
                    <sup>
                        <xref ref-type="bibr" rid="ref4">4</xref>
                    </sup>)</p>
                <p>
                    <italic toggle="yes">D</italic> = estimated error (10%) = 3%</p>
                <p>
                    <inline-formula>
                        <mml:math display="inline">
                            <mml:mo>=</mml:mo>
                            <mml:msup>
                                <mml:mrow>
                                    <mml:mo stretchy="true">(</mml:mo>
                                    <mml:mn>1.96</mml:mn>
                                    <mml:mo stretchy="true">)</mml:mo>
                                </mml:mrow>
                                <mml:mn>2</mml:mn>
                            </mml:msup>
                            <mml:mo>&#x2217;</mml:mo>
                            <mml:mrow>
                                <mml:mo stretchy="true">(</mml:mo>
                                <mml:mn>0.05</mml:mn>
                                <mml:mo stretchy="true">)</mml:mo>
                            </mml:mrow>
                            <mml:mo>&#x2217;</mml:mo>
                            <mml:mrow>
                                <mml:mo stretchy="true">(</mml:mo>
                                <mml:mn>1</mml:mn>
                                <mml:mo>&#x2212;</mml:mo>
                                <mml:mn>0.5</mml:mn>
                                <mml:mo stretchy="true">)</mml:mo>
                            </mml:mrow>
                            <mml:mo>/</mml:mo>
                            <mml:msup>
                                <mml:mrow>
                                    <mml:mo stretchy="true">(</mml:mo>
                                    <mml:mn>0.3</mml:mn>
                                    <mml:mo stretchy="true">)</mml:mo>
                                </mml:mrow>
                                <mml:mn>2</mml:mn>
                            </mml:msup>
                            <mml:mo>=</mml:mo>
                            <mml:mn>22</mml:mn>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Minimum sample size required = 22</p>
            </sec>
            <sec id="sec14">
                <title>Statistical method</title>
                <p>Descriptive statistics will offer an initial overview of the data by calculating mean, median, standard deviation, and percentages to characterise the study population. Secondly, the study will compute the prevalence of NTM disease among TB suspects, providing valuable insights into the scale of the issue. Comparative analyses will be crucial in assessing differences between groups within the study population, such as patients with pulmonary and extrapulmonary NTM disease. To explore the various risk factors associated with NTM disease, logistic regression will be used to identify significant associations. Multivariate analysis will help disentangle the simultaneous effects of multiple variables on the clinical profile of NTM disease patients. Moreover, statistical tests like Chi-Square or Fisher&#x2019;s Exact Test will be employed to evaluate associations between categorical variables. T-tests or ANOVA will be used when comparing means of continuous variables. If relevant, survival analysis techniques like Kaplan-Meier curves and Cox regression will be applied to examine time-to-event data. Subgroup analyses will delve into specific characteristics within the study population. Statistical software such as R (RRID:SCR_001905), SPSS (RRID:SCR_014598), or SAS version 23 (RRID:SCR_004635) will be utilised for all these analyses and the copyright license have been obtained. Ethical considerations must be rigorously followed throughout these analyses to safeguard patient confidentiality and rights. The study&#x2019;s findings will be reported comprehensively, presenting the results clearly and effectively, supporting the study&#x2019;s objectives and conclusions.</p>
            </sec>
            <sec id="sec15">
                <title>Ethical considerations</title>
                <p>The Institutional Ethics Committee of Datta Meghe Institute of Higher Education and Research (DU) has granted its approval to the study protocol (Reference number: DMIHER (DU)/IEC/2022/19. Date:15-07-2022). Before commencing the study, we will obtain written informed consent from all participants, providing them with a comprehensive explanation of the study&#x2019;s objectives.</p>
            </sec>
            <sec id="sec16">
                <title>Dissemination</title>
                <p>After the completion of the study, we will publish it in an indexed journal or conference.</p>
            </sec>
            <sec id="sec17">
                <title>Study status</title>
                <p>The study has yet to start. After the publication of the protocol, we will start recruitment in the study.</p>
            </sec>
        </sec>
        <sec id="sec18" sec-type="discussion">
            <title>Discussion</title>
            <p>Nontuberculous mycobacterial (NTM) diseases have gained significant attention in recent years due to their impact on respiratory and extrapulmonary health. Numerous studies globally have reported an increasing prevalence of NTM diseases. The prevalence varies across regions, and India is no exception to this trend. Studies by Hoefsloot et al.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> and Prevots et al.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> have highlighted the rising prevalence of NTM diseases, particularly in areas with a high burden of TB.</p>
            <p>One of the fundamental challenges in managing NTM diseases is their clinical resemblance to tuberculosis. This clinical mimicry often leads to misdiagnoses and delayed treatment initiation. Research by Prevots and Marras
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> and Ringshausen et al.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> noted that differentiating NTM diseases from TB is vital for appropriate management.</p>
            <p>NTM infections are not limited to a single risk factor or demographic group. The risk factors associated with NTM diseases are multifactorial and may include underlying respiratory conditions, immunosuppression, and environmental factors. Research by Kartalija et al.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> and Adjemian et al.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> has explored these risk factors and highlighted the complexity of NTM disease epidemiology.</p>
            <p>The geographic distribution of NTM species and their clinical impact can vary widely. With its unique environmental and demographic characteristics, Central India presents a distinct context for studying NTM diseases. Research by Thomson et al.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> has shown how environmental factors play a significant role in NTM epidemiology.</p>
            <p>Accurate diagnosis is pivotal in managing NTM diseases effectively. Misdiagnoses lead to inappropriate treatment and contribute to antibiotic resistance and increased healthcare costs. Research by Griffith et al.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> underscores the importance of accurate diagnosis in NTM disease management.</p>
            <p>Understanding the clinical and radiological features specific to NTM diseases is crucial for distinguishing them from TB and other respiratory conditions. Research by Jeong et al.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> and Winthrop et al.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> has detailed the diverse clinical presentations and radiological findings associated with NTM infections.</p>
        </sec>
    </body>
    <back>
        <sec id="sec21" sec-type="data-availability">
            <title>Data availability</title>
            <p>No data are associated with this article.</p>
            <sec id="sec22">
                <title>Extended data</title>
                <p>

                    <bold>

                        <italic toggle="yes">Reporting guidelines</italic>
</bold>
                </p>
                <p>Zenodo: STROBE checklist for &#x2018;Observational and cross-sectional study on clinical profile of nontuberculous mycobacterial (NTM) disease in patients at tertiary care hospital of central India&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://zenodo.org/doi/10.5281/zenodo.10983365">https://zenodo.org/doi/10.5281/zenodo.10983365</ext-link>
                </p>
                <p>Licence: CC BY 4.0 Deed|Attribution 4.0 International</p>
            </sec>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Abate</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Barber</surname>
                            <given-names>DL</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Advancing Translational Science for Pulmonary Nontuberculous Mycobacterial Infections. A Road Map for Research.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2019</year>;<volume>199</volume>:<fpage>947</fpage>&#x2013;<lpage>951</lpage>.
                    <pub-id pub-id-type="pmid">30428263</pub-id>
                    <pub-id pub-id-type="doi">10.1164/rccm.201807-1273PP</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6467310</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sharma</surname>
                            <given-names>SK</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Singh</surname>
                            <given-names>BK</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A prospective study of non-tuberculous mycobacterial disease among tuberculosis suspects at a tertiary care centre in north India.</article-title>
                    <source>

                        <italic toggle="yes">Indian J. Med. Res.</italic>
</source>
                    <year>2019</year>;<volume>150</volume>:<fpage>458</fpage>&#x2013;<lpage>467</lpage>.
                    <pub-id pub-id-type="pmid">31939389</pub-id>
                    <pub-id pub-id-type="doi">10.4103/ijmr. IJMR_194_19</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6977370</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sharma</surname>
                            <given-names>SK</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Upadhyay</surname>
                            <given-names>V</given-names>
                        </name>
</person-group>:
                    <article-title>Epidemiology, diagnosis &amp; treatment of non-tuberculous mycobacterial diseases.</article-title>
                    <source>

                        <italic toggle="yes">Indian J. Med. Res.</italic>
</source>
                    <year>2020</year>;<volume>152</volume>:<fpage>185</fpage>&#x2013;<lpage>226</lpage>.
                    <pub-id pub-id-type="pmid">33107481</pub-id>
                    <pub-id pub-id-type="doi">10.4103/ijmr. IJMR_902_20</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7881820</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jani</surname>
                            <given-names>MN</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Rodrigues</surname>
                            <given-names>CS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mehta</surname>
                            <given-names>AP</given-names>
                        </name>
</person-group>:
                    <article-title>The Neglected and Often Ignored: Nontuberculous Mycobacteria.</article-title>
                    <source>

                        <italic toggle="yes">J. Global Infect. Dis.</italic>
</source>
                    <year>2011</year>;<volume>3</volume>:<fpage>94</fpage>.
                    <pub-id pub-id-type="pmid">21572618</pub-id>
                    <pub-id pub-id-type="doi">10.4103/0974-777X.77305</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3068589</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hoefsloot</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ingen</surname>
                            <given-names>J</given-names>
                            <prefix>van</prefix>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>The geographic diversity of nontuberculous mycobacteria isolated from pulmonary samples: an NTM-NET collaborative study.</article-title>
                    <source>

                        <italic toggle="yes">Eur. Respir. J.</italic>
</source>
                    <year>2013</year>;<volume>42</volume>:<fpage>1604</fpage>&#x2013;<lpage>1613</lpage>.
                    <pub-id pub-id-type="pmid">23598956</pub-id>
                    <pub-id pub-id-type="doi">10.1183/09031936.00149212</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Prevots</surname>
                            <given-names>DR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shaw</surname>
                            <given-names>PA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Strickland</surname>
                            <given-names>D</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Nontuberculous mycobacterial lung disease prevalence at four integrated health care delivery systems.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2010</year>;<volume>182</volume>:<fpage>970</fpage>&#x2013;<lpage>976</lpage>.
                    <pub-id pub-id-type="pmid">20538958</pub-id>
                    <pub-id pub-id-type="doi">10.1164/rccm.201002-0310OC</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2970866</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Prevots</surname>
                            <given-names>DR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Marras</surname>
                            <given-names>TK</given-names>
                        </name>
</person-group>:
                    <article-title>Epidemiology of human pulmonary infection with nontuberculous mycobacteria: a review.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Chest Med.</italic>
</source>
                    <year>2015</year>;<volume>36</volume>:<fpage>13</fpage>&#x2013;<lpage>34</lpage>.
                    <pub-id pub-id-type="pmid">25676516</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.ccm.2014.10.002</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4332564</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ringshausen</surname>
                            <given-names>FC</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Burden and trends of hospitalisations associated with pulmonary non-tuberculous mycobacterial infections in Germany, 2005&#x2013;2011.</article-title>
                    <source>

                        <italic toggle="yes">BMC Infect. Dis.</italic>
</source>
                    <year>2013</year>;<volume>13</volume>:<fpage>231</fpage>.
                    <pub-id pub-id-type="pmid">23692867</pub-id>
                    <pub-id pub-id-type="doi">10.1186/1471-2334-13-231</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3667050</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Ovrutsky</surname>
                            <given-names>AR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bryan</surname>
                            <given-names>CL</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Patients with nontuberculous mycobacterial lung disease exhibit unique body and immune phenotypes.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2013</year>;<volume>187</volume>:<fpage>197</fpage>&#x2013;<lpage>205</lpage>.
                    <pub-id pub-id-type="pmid">23144328</pub-id>
                    <pub-id pub-id-type="doi">10.1164/rccm.201206-1035OC</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5446199</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Olivier</surname>
                            <given-names>KN</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Seitz</surname>
                            <given-names>AE</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Spatial clusters of nontuberculous mycobacterial lung disease in the United States.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2012</year>;<volume>186</volume>:<fpage>553</fpage>&#x2013;<lpage>558</lpage>.
                    <pub-id pub-id-type="pmid">22773732</pub-id>
                    <pub-id pub-id-type="doi">10.1164/rccm.201205-0913OC</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3480533</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Isolation of nontuberculous mycobacteria (NTM) from household water and shower aerosols in patients with pulmonary disease caused by NTM.</article-title>
                    <source>

                        <italic toggle="yes">J. Clin. Microbiol.</italic>
</source>
                    <year>2013</year>;<volume>51</volume>:<fpage>3006</fpage>&#x2013;<lpage>3011</lpage>.
                    <pub-id pub-id-type="pmid">23843489</pub-id>
                    <pub-id pub-id-type="doi">10.1128/JCM.00899-13</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3754680</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Griffith</surname>
                            <given-names>DE</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Brown-Elliott</surname>
                            <given-names>BA</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>An Official ATS/IDSA Statement: Diagnosis, Treatment, and Prevention of Nontuberculous Mycobacterial Diseases.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2007</year>;<volume>175</volume>:<fpage>367</fpage>&#x2013;<lpage>416</lpage>.
                    <pub-id pub-id-type="pmid">17277290</pub-id>
                    <pub-id pub-id-type="doi">10.1164/rccm.200604-571ST</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jeong</surname>
                            <given-names>YJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lee</surname>
                            <given-names>KS</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Nontuberculous mycobacterial pulmonary infection in immunocompetent patients: comparison of thin-section CT and histopathologic findings.</article-title>
                    <source>

                        <italic toggle="yes">Radiology.</italic>
</source>
                    <year>2004</year>;<volume>231</volume>:<fpage>880</fpage>&#x2013;<lpage>886</lpage>.
                    <pub-id pub-id-type="pmid">15118112</pub-id>
                    <pub-id pub-id-type="doi">10.1148/radiol.2313030833</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Winthrop</surname>
                            <given-names>KL</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Pulmonary nontuberculous mycobacterial disease prevalence and clinical features: an emerging public health disease.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Respir. Crit. Care Med.</italic>
</source>
                    <year>2010</year>;<volume>182</volume>:<fpage>977</fpage>&#x2013;<lpage>982</lpage>.
                    <pub-id pub-id-type="doi">10.1164/rccm.201003-0503OC</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report328378">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.157902.r328378</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Namkoong</surname>
                        <given-names>Ho</given-names>
                    </name>
                    <xref ref-type="aff" rid="r328378a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r328378a1">
                    <label>1</label>Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan</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>25</day>
                <month>10</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Namkoong H</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport328378" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.144148.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study protocol titled "Observational and Cross-sectional Study on Clinical Profile of Nontuberculous Mycobacterial (NTM) Disease" presents a relevant and timely investigation into an important public health issue, particularly in regions like central India where tuberculosis (TB) remains prevalent. By focusing on distinguishing NTM from TB, this study has the potential to provide valuable insights for improving diagnostic and therapeutic strategies.</p>
            <p> </p>
            <p> However, conducting the study at a single institution may introduce bias based on regional characteristics, and it may limit the generalizability of the results to other regions. Therefore, I strongly recommend expanding the study into a multi-center observational study. By collecting data from multiple healthcare institutions, the study can better capture the diverse clinical presentations of NTM disease, assess the influence of different regional and environmental factors, and significantly improve the reliability and generalizability of the findings.</p>
            <p> </p>
            <p> The comprehensive data collection approach, covering demographic, clinical, radiological, and microbiological aspects, is commendable and will allow the study to capture the multifaceted nature of NTM diseases. The planned multivariate analysis is expected to identify key risk factors and clinical patterns that could guide future NTM management. Furthermore, the study's focus on a tertiary care hospital ensures the inclusion of diverse patient profiles, which enhances the comprehensiveness of the findings.</p>
            <p> </p>
            <p> Additionally, the attention to ethical considerations, including patient consent and confidentiality, is well-handled, strengthening the study&#x2019;s rigor. Despite the small sample size, this research could provide preliminary data that contribute to the understanding of NTM diseases in high-TB-burden regions. In order to overcome this issue, I recommend multi-center observational study.</p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Yes</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>Yes</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>NTM</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report296425">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.157902.r296425</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Pathakumari</surname>
                        <given-names>Balaji</given-names>
                    </name>
                    <xref ref-type="aff" rid="r296425a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r296425a1">
                    <label>1</label>Mayo Clinic Rochester, Rochester, Minnesota, USA</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>11</day>
                <month>7</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Pathakumari B</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport296425" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.144148.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Bhanushali et al., proposed to conduct cross-sectional study to understand the clinical profile of NTM-LD. I think the study has the potential to find the various underlying clinical parameters to NTM-LD management. However, authors can consider the following potential comments to improve the proposal quality. 
                <list list-type="order">
                    <list-item>
                        <p>I feel the objectives of this study are preliminary. I would ask authors to extend the aims and objectives by adding critical gaps in NTM research.</p>
                    </list-item>
                    <list-item>
                        <p>The sample size is too low. On what basis the sample size was fixed? Is there any power calculation carried-out to arrive this number? Does this give at least 80% power? Authors are kindly requested to explain this. And requested to give the power calculation. &#x201c;In addition, powers of tests were calculated based on effect size and include the values of power calculation in statistics.</p>
                    </list-item>
                    <list-item>
                        <p>The authors used the broad term of NTM which includes different NTM species. Each NTM species has different clinical features including radiological findings and disease phenotypes. It would be needed to analyze and add data only on NTM patients caused by most prevalent species in Indian settings. Authors can consider this to add another objective to check the parameters in species level.</p>
                    </list-item>
                    <list-item>
                        <p>Authors should record the information on the etiological factors identified in the patients. Broader collection of clinical data to support the claim that the detected differences are each species specific. For data collection, authors can refer the following paper (see the table 1 and 2)&#x00a0; (Marty PK, et al., 2024 [Ref 1])</p>
                    </list-item>
                    <list-item>
                        <p>Earlier reports showing the importance of effect of age and gender on the NTM risk of infection. I would strongly recommend analyzing the data based on age and gender matched healthy or other diseased controls.</p>
                    </list-item>
                    <list-item>
                        <p>Patient recruitment scheme is not in detail. Please describe in more detail the inclusion and exclusion criteria of the study. A chart explaining these criteria would be desirable.</p>
                    </list-item>
                    <list-item>
                        <p>There is a possibility to find mixed infection with other NTMs or M. tb. QuantiFERON has to be done for identifying Latent TB infection. What is the Authors comment on these subgroups. Species identification is important to assess the pathogenicity.</p>
                    </list-item>
                    <list-item>
                        <p>Methods: Check the Time period error for recruiting samples.</p>
                    </list-item>
                    <list-item>
                        <p>The conclusions are brief. It would be beneficial to provide a more detailed summary of the significance of the study and their implications for future research and clinical practice.</p>
                    </list-item>
                    <list-item>
                        <p>Finally, the authors should address how these findings would hold in a &#x2018;real-life&#x2019; unselected group of patients.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Partly</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>Partly</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Expertise in infectious diseases that includes tuberculosis, non-tuberculosis mycobacterial diseases and Candida infections.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-296425-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Multiparameter immunoprofiling for the diagnosis and differentiation of progressive versus nonprogressive nontuberculous mycobacterial lung disease-A pilot study.</article-title>
                        <source>
                            <italic>PLoS One</italic>
                        </source>.<year>2024</year>;<volume>19</volume>(<issue>4</issue>) :
                        <elocation-id>10.1371/journal.pone.0301659</elocation-id>
                        <fpage>e0301659</fpage>
                        <pub-id pub-id-type="pmid">38640113</pub-id>
                        <pub-id pub-id-type="doi">10.1371/journal.pone.0301659</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
</article>
