<?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.123884.1</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>The burden of BRCA1 and BRCA2 gene mutations among Vietnamese women and their&#x00a0;associated factors: A protocol for a systematic review and meta-analysis</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="no">
                    <name>
                        <surname>Tran</surname>
                        <given-names>Phuc Thai</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2251-9757</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Tran</surname>
                        <given-names>Duc Quang</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/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-7875-1985</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vu</surname>
                        <given-names>Chi Thi Quynh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</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="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Phan</surname>
                        <given-names>Quang Ngoc</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Visualization</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/0000-0003-1223-0914</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nguyen</surname>
                        <given-names>Anh Thi Thu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</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/0000-0003-2692-9566</uri>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Nursing, Thai Binh University of Medicine and Pharmacy, Thai Binh, 06100, Vietnam</aff>
                <aff id="a2">
                    <label>2</label>Department of Preventive Environment and Nutrition, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, 770-8503, Japan</aff>
                <aff id="a3">
                    <label>3</label>Nutrition Department, Dong A University, Danang, 550000, Vietnam</aff>
                <aff id="a4">
                    <label>4</label>The Center Service For Technology Science Of Medi-Phar, Thai Binh University of Medicine and Pharmacy, Thaibinh, 06100, Vietnam</aff>
                <aff id="a5">
                    <label>5</label>Respiratory Department, Thai Binh General Hospital, Thaibinh, 06100, Vietnam</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:quangduc216@gmail.com">quangduc216@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>7</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>852</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>19</day>
                    <month>7</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Tran PT 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/11-852/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> BReast CAncer gene (BRCA)1 and BRCA2 mutation carriers are frequently provided genetic counselling. A precise estimation of the prevalence of BRCA gene mutations is essential to provide an appropriate risk prediction. However, the data in Vietnam is ambiguous and include unreliable risk factors from individual studies. Hence, the objective of this protocol is to provide a method to synthesize evidence pertaining to the proportion of BRCA mutations among Vietnamese women and their risk factors for cancer.</p>
                <p>
                    <bold>Methods:</bold> PRISMA-P was followed in developing and reporting this protocol. From the databases&#x2019; inception until June 2023, a comprehensive search will be undertaken in electronic PubMed and Scopus databases. In two stages, title/abstract screening and full-text screening, two independent authors will assess all retrieved articles for inclusion. This review includes papers providing the relevant results reflecting the prevalence of BRCA gene mutations in Vietnamese women who are at least 18 years old with or without cancer. Predefined selection criteria will be used to establish each publication&#x2019;s eligibility. Using the Newcastle-Ottawa Scale and Cochrane Risk of Bias tools, the quality of included studies will be assessed, and overall evidence quality will be appraised using the GRADE approach. All pertinent data from the included articles will be entered into an Excel spreadsheet for meta-analysis, which will be imported into Rstudio. Meta-analyses using random effects will be used to obtain the pooled percentages. The chi-squared test and I
                    <sup>2</sup> parameter will be used to evaluate heterogeneity. Publication bias will be investigated visually using funnel plots for asymmetry and Egger&#x2019;s statistical tests.</p>
                <p>
                    <bold>Conclusions:</bold> Based on the prevalence of BRCA muations and its associated comprehensive and specific risk factors, we hope our findings will provide a reference for future strategies to build an effective treatment plan and manage the risk of cancer development.</p>
                <p>
                    <bold>Registration:</bold> PROSPERO (
                    <ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=340152">CRD42022340152</ext-link>; 30 June 2022).</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Vietnam</kwd>
                <kwd>Breast cancer</kwd>
                <kwd>Ovarian cancer</kwd>
                <kwd>BRCA1</kwd>
                <kwd>BRCA2</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>A significant risk of getting breast cancer and ovarian cancer is posed to women with a pathogenic germline mutation in either the BReast CAncer gene (BRCA)1 and BRCA2 gene, which was discovered in the 1990s.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> For women with a BRCA1 pathogenic variation, the cumulative lifetime risk of breast cancer varies from 40&#x2013;87%, and the risk of ovarian cancer ranges from 16&#x2013;68%. Women with a BRCA2 pathogenic variation have a comparable risk, with a lifetime breast cancer risk of 27&#x2013;84% and ovarian cancer risk of 11&#x2013;30%.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> In 2020, an estimated 2.3 million women will be diagnosed with breast cancer, leading to the death of 685,050 people worldwide. There were 7.8 million women who had been diagnosed with breast cancer in the last five years as of the end of 2020, making it the most common disease globally.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Although it is far less frequent than breast cancer, ovarian cancer is the eighth most prevalent form of cancer in women and the 18th most prevalent form of cancer overall. There were around 300,000 new cases of ovarian cancer diagnosed in 2018, and almost 200,000 deaths were attributed to the illness.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Among them, approximately 10% of breast cancers are inherited and may be traced back to germline mutations in breast cancer susceptibility genes, most notably in the BRCA1 and BRCA2 genes.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> In comparison, the figure is much higher among those diagnosed with ovarian cancer&#x2014;approximately 15%.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>In population, it is well established that the BRCA frequency varies significantly. For instance, compared to the general population, which has an inherited mutation rate of 0.2&#x2013;0.3%, Ashkenazi Jews make up roughly 2.0% of those with a deleterious variation in either BRCA1 or BRCA2. While in the United States, the prevalence of BRCA1 has been reported as high as 11.1%, the prevalence in Japan was just 2.6%.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Because there is a wide range of estimates, it may be difficult for physicians to choose which one to use.</p>
            <p>In Vietnam, the cancer burden has been steadily increasing over the last 30 years, with approximately 165,000 new cancer cases and 115,000 cancer-related deaths occurring annually. The age-adjusted cancer death rate in Vietnam is 104 per 100,000 people, which ranks 57 internationally.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> The epidemiology of BRCA mutations in Vietnamese communities is plagued by a lack of high-quality data and studies devoted to it, even though the incidence of breast cancer is on the rise, with an estimated 21,555 new cases and 9,345 deaths every year. At the same time, ovarian cancer had 1,404 cases and 923 fatalities per year (ranked 21st) in 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>Analysis of the BRCA1 and BRCA2 genes is becoming more popular as a method for detecting pathogenic variations in the context of both preventative and therapeutic concerns. Access to BRCA tumour testing in a timely manner is becoming more significant in the therapeutic field to identify cancer patients who may benefit from therapy with poly (ADP-ribose) polymerase (PARP) inhibitor (PARPi).
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Although the test is highly recommended by professional groups such as the Society of Gynecologic Oncology (SGO) and the National Comprehensive Cancer Network (NCCN)
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>; however, in Vietnam, the availability of such genetic testing is severely restricted because of the exorbitant cost, as well as a shortage of properly equipped labs and well-trained healthcare professionals.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>Furthermore, no comprehensive statistics about the prevalence of BRCA1 and BRCA 2 gene mutations in Vietnam women are available. Consequently, our study aims to fill this knowledge gap by systematic review and meta-analysis of all the available evidence on the prevalence of BRCA1 and BRCA2 gene mutations among Vietnamese women, including in hospitals and the community.</p>
            <sec id="sec2">
                <title>Research questions</title>
                <p>
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>What is the pooled prevalence of the BRCA1 and BRCA2 gene mutations in the Vietnamese female population, including in-hospital and community?</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Which risk factors of Vietnamese women should prompt a physician to perform a BRCA gene test for the client/patient?</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec3">
                <title>Objectives</title>
                <p>Our overall objective is to assist physicians and researchers in better understanding the prevalence of BRCA1 and BRCA2 gene mutations and their related risk factors in Vietnamese women. Future research efforts may better guide therapeutically relevant goals.</p>
            </sec>
        </sec>
        <sec id="sec4" sec-type="methods">
            <title>Methods</title>
            <sec id="sec5">
                <title>The study protocol and reporting</title>
                <p>This procedure is carried out in accordance with the standards provided by Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) for systematic review protocols
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup> and the completed checklist can be found under 
                    <italic toggle="yes">Reporting Guidelines.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> This protocol for a systematic review has been submitted to the PROSPERO database for registration (
                    <ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=340152">CRD42022340152</ext-link>; 30 June 2022). The PRISMA guidelines
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> and the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines
                    <sup>
                        <xref ref-type="bibr" rid="ref15">15</xref>
                    </sup> will be used to construct a systematic review and meta-analysis procedure for this study.</p>
            </sec>
            <sec id="sec6">
                <title>Data source and search strategy</title>
                <p>We will enlist the assistance of a genetic consultant and a librarian with extensive expertise in conducting systematic reviews to formulate our search strategy. An exhaustive computerized search of 
                    <ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/pubmed/">PubMed</ext-link> (RRID:SCR_004846) and 
                    <ext-link ext-link-type="uri" xlink:href="https://www.scopus.com/">Scopus</ext-link> (RRID:SCR_022559) databases from the beginning of the database systems to June 2023 will provide relevant research on the incidence of mutations in BRCA1 and BRCA2. In these database searches, we will use the specified query or the appropriate search technique for the database. The scope of the searches will be restricted to English language and human studies only. We do not aim to look for previously unreleased content or manuscripts. Our searches were based on a combination of key phrases and index terms (MeSH and Emtree). The following terms will be used for the search strategy (in all fields): &#x201c;Vietnam&#x201d;, &#x201c;Vietnamese&#x201d;, &#x201c;women&#x201d;, &#x201c;female&#x201d;, &#x201c;breast cancer&#x201d;, &#x201c;breast carcinoma&#x201d;, &#x201c;mammary cancer&#x201d;, &#x201c;breast tumor&#x201d;, &#x201c;ovarian cancer&#x201d;, &#x201c;ovarian tumors&#x201d;, &#x201c;ovarian carcinomas&#x201d;, &#x201c;brca1&#x201d;, &#x201c;brca2&#x201d;, &#x201c;brca&#x201d; with the cognitive logical operators &#x201c;AND&#x201d; and &#x201c;NOT&#x201d; are utilized for the purpose of efficiently finding publications. 
                    <xref ref-type="table" rid="T1">Table 1</xref> provides comprehensive search algorithms for all databases.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Methodology for searching the literature using databases.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Database</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Search strategy</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">PubMed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">((&#x201c;vietnam&#x201d;[MeSH Terms] OR &#x201c;vietnam&#x201d;[All Fields]) OR (&#x201c;asians&#x201d;[MeSH Terms] OR &#x201c;asians&#x201d;[All Fields] OR &#x201c;vietnamese&#x201d;[All Fields])) AND ((&#x201c;women&#x201d;[MeSH Terms] OR &#x201c;women&#x201d;[All Fields]) OR (&#x201c;female&#x201d;[MeSH Terms] OR &#x201c;female&#x201d;[All Fields])) AND ((&#x201c;breast neoplasms&#x201d;[MeSH Terms] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;breast neoplasms&#x201d;[All Fields] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;cancer&#x201d;[All Fields]) OR &#x201c;breast cancer&#x201d;[All Fields]) OR (&#x201c;breast neoplasms&#x201d;[MeSH Terms] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;breast neoplasms&#x201d;[All Fields] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;carcinoma&#x201d;[All Fields]) OR &#x201c;breast carcinoma&#x201d;[All Fields]) OR (&#x201c;breast neoplasms&#x201d;[MeSH Terms] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;breast neoplasms&#x201d;[All Fields] OR (&#x201c;mammary&#x201d;[All Fields] AND &#x201c;cancer&#x201d;[All Fields]) OR &#x201c;mammary cancer&#x201d;[All Fields]) OR (&#x201c;breast neoplasms&#x201d;[MeSH Terms] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;breast neoplasms&#x201d;[All Fields] OR (&#x201c;breast&#x201d;[All Fields] AND &#x201c;tumor&#x201d;[All Fields]) OR &#x201c;breast tumor&#x201d;[All Fields]) OR (&#x201c;ovarian neoplasms&#x201d;[MeSH Terms] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;ovarian neoplasms&#x201d;[All Fields] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;cancer&#x201d;[All Fields]) OR &#x201c;ovarian cancer&#x201d;[All Fields]) OR (&#x201c;ovarian neoplasms&#x201d;[MeSH Terms] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;ovarian neoplasms&#x201d;[All Fields] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;tumors&#x201d;[All Fields]) OR &#x201c;ovarian tumors&#x201d;[All Fields]) OR (&#x201c;ovarian neoplasms&#x201d;[MeSH Terms] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;neoplasms&#x201d;[All Fields]) OR &#x201c;ovarian neoplasms&#x201d;[All Fields] OR (&#x201c;ovarian&#x201d;[All Fields] AND &#x201c;carcinomas&#x201d;[All Fields]) OR &#x201c;ovarian carcinomas&#x201d;[All Fields])) AND ((&#x201c;genes, brca1&#x201d;[MeSH Terms] OR (&#x201c;genes&#x201d;[All Fields] AND &#x201c;brca1&#x201d;[All Fields]) OR &#x201c;brca1 genes&#x201d;[All Fields] OR &#x201c;brca1&#x201d;[All Fields]) OR (&#x201c;genes, brca2&#x201d;[MeSH Terms] OR (&#x201c;genes&#x201d;[All Fields] AND &#x201c;brca2&#x201d;[All Fields]) OR &#x201c;brca2 genes&#x201d;[All Fields] OR &#x201c;brca2&#x201d;[All Fields]) OR BRCA [All Fields])</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Scopus</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">ALL (((vietnam OR vietnamese) AND (women OR female) AND (breast AND cancer OR breast AND carcinoma OR mammary AND cancer OR breast AND tumor OR ovarian AND cancer OR ovarian AND tumors OR ovarian AND carcinomas) AND (brca1 OR brca2 OR brca)))</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Using the 
                    <ext-link ext-link-type="uri" xlink:href="http://www.mendeley.com/">Mendeley Data</ext-link> (RRID:SCR_002750) online bibliography management application, we will collect, arrange, and export citations from the aforementioned databases. Duplicates will be detected and eliminated. The remaining citations will be considered for research selection.</p>
            </sec>
            <sec id="sec7">
                <title>Inclusion and exclusion criteria</title>
                <p>
                    <italic toggle="yes">Types of studies</italic>
                </p>
                <p>Only peer-reviewed publications and all research designs to determine the frequency of BRCA1 and/or BRCA2 gene mutations in Vietnamese women will be included; while, case studies, literature reviews, systematic reviews, editorials, letters, and dissertations will not be included in this review.</p>
                <p>
                    <italic toggle="yes">Types of participants</italic>
                </p>
                <p>Studies that include Vietnamese women who are at least eighteen years old will be eligible for inclusion.</p>
                <p>
                    <italic toggle="yes">Types of comparison/exposure</italic>
                </p>
                <p>Studies investigating individual characteristics, cancer diagnoses (if any), and pathogenic mutations in BRCA1 and BRCA2 genes are considered eligible. The primary risk of this review will be on patient characteristics that have the potential to serve as risk factors or predictive variables for a future aggravation or malignancy, or cancer development.</p>
                <p>
                    <italic toggle="yes">Types of outcome measures</italic>
                </p>
                <p>We will incorporate the original papers that include the proportion of Vietnamese women who have BRCA1/BRCA2 gene mutations in order to diagnose/to robustly diagnose cancer disease (
                    <italic toggle="yes">e.g.</italic>, breast cancer, ovarian cancer and other relevant cancers) or to estimate the risk of developing these cancers.</p>
                <p>
                    <italic toggle="yes">Selection of studies for inclusion in the review</italic>
                </p>
                <p>The first step will be to create an online sheet in 
                    <ext-link ext-link-type="uri" xlink:href="https://www.microsoft.com/en-gb/">Microsoft Excel</ext-link> (RRID:SCR_016137) for data extraction that can be shared among the team members. After that, we will run a pilot test with five articles chosen randomly and use the results to fine-tune the data extraction form appropriately. Two independent reviewers will evaluate the abstracts of all identified studies. Possible studies include articles that will be collected in full text for further evaluation. We will reach out to the authors to inquire about ambiguous points and request clarification. Disputes over inclusion will be resolved by consensus; if this is not feasible, we intend to bring in a third author who would then make a decision.</p>
            </sec>
            <sec id="sec8">
                <title>Data extraction</title>
                <p>These could consist of, but are not limited to, the following:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Study characteristics (
                                <italic toggle="yes">e.g.</italic>, names of the authors, the publishing year, the journal, and the research design, hospital or community);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Demographic characteristics (
                                <italic toggle="yes">e.g.</italic>, age, education, profession, socioeconomic status, beginning menstrual cycles early, entering menopause later);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Prevalence of BRCA gene mutations (
                                <italic toggle="yes">e.g.</italic>, BRCA1, BRCA2 and both mutations);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Oncogenic mutations in BRCA1 and BRCA2 genes (
                                <italic toggle="yes">e.g.</italic>, type of genetic analysis method, BRCA variants, novel variant, distribution of pathogenic variants);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Cancer-related characteristics of the patients (
                                <italic toggle="yes">e.g.</italic>, type of cancer, age at diagnosis of cancer, cancer stage, tumour size);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Various health-related factors (
                                <italic toggle="yes">e.g.</italic>, smoking, co-morbidities, Body Mass Index, radiation treatment, exposure to diethylstilbestrol, genetic cancer predisposition syndromes);</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Included in this research are those looking at various cancer risk factors, and family history is one of them. The family includes all relatives (parents, siblings, or other biological family members). Registers, medical records, or self-reported information are potential sources for obtaining data on family history. Cancer in the family history should be considered for any cancer, including but not limited to cancer diagnosed at a younger age, particular forms of cancer, relatives who have been diagnosed with two or more cancers or multiple cases of cancer, and relatives that have previously been shown to be carriers of cancer-causing mutations.</p>
                        </list-item>
                    </list>
                </p>
                <p>Using a tool that has already been pre-piloted, the essential data will be retrieved to an online sheet in Microsoft Excel Online. The data will be gathered separately by the two authors.</p>
            </sec>
            <sec id="sec9">
                <title>Assessment of risk of bias</title>
                <p>For observational studies, the included articles will be evaluated using the Newcastle Ottawa Scale (NOS),
                    <sup>
                        <xref ref-type="bibr" rid="ref16">16</xref>
                    </sup> and for randomized controlled trials (RCTs), the Cochrane Risk of Bias (RoB) tool
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup> will be utilized. Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup> will be used to grade the quality and strength of the evidence. Both evaluations will be conducted independently by two authors. The first five included studies will be evaluated, and inconsistencies in the assessment will be discussed before reviewing the remainder of the included research to ensure the two authors make equivalent risk assessments. In circumstances when there is disagreement, reaching a consensus will be accomplished 
                    <italic toggle="yes">via</italic> discussion.</p>
            </sec>
            <sec id="sec10">
                <title>Data synthesis</title>
                <p>Our narrative synthesis of the results from the included studies will be framed around the characteristics of the subjects, the distribution of probable predictors and outcomes. When applicable, ranges, means (standard deviations) or medians (interquartile ranges), and frequencies (%) will be included in summary statistics. The extracted data will be loaded into 
                    <ext-link ext-link-type="uri" xlink:href="http://www.rstudio.com/">RStudio</ext-link> (RRID:SCR_000432) software (version 2022.02.1 Build 461) with &#x201c;
                    <ext-link ext-link-type="uri" xlink:href="https://cran.r-project.org/package=meta">meta</ext-link>&#x201d; (RRID:SCR_019055), &#x201c;
                    <ext-link ext-link-type="uri" xlink:href="http://www.metafor-project.org/doku.php">metafor</ext-link>&#x201d; (RRID:SCR_003450), and &#x201c;
                    <ext-link ext-link-type="uri" xlink:href="https://cran.r-project.org/package=ggplot2">ggplot2</ext-link>&#x201d; (RRID:SCR_014601) packages for analysis. Using a random-effects model, the pooled prevalence estimate of BRCA1 gene mutation/BRCA2 gene mutation/both mutations in Vietnamese women will be calculated. The existence of statistical heterogeneity will be evaluated by the Cochrane&#x2019;s Q statistic (with P&lt;0.10 indicating the presence of statistically significant heterogeneity).
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> In addition, the I
                    <sup>2</sup> statistic will be used to gauge the degree of statistical heterogeneity among the research (low, medium, and high heterogeneity, respectively, are defined by values of 25, 50, and 75%). If adequate data are available, we will conduct subgroup analyses based on the individual and family factors to identify plausible sources of heterogeneity and to study their effect on the prevalence of BRCA gene mutations. The examination of a funnel plot for signs of asymmetry and the use of Egger&#x2019;s test will be used to determine the existence of publication bias in the analyses. If P&lt;0.05, we will consider the possibility of publication bias to be present.</p>
            </sec>
            <sec id="sec11">
                <title>Ethics and dissemination</title>
                <p>There is no need for ethical approval for this systematic review.</p>
                <p>An earlier version of this article can be found on Research Square (
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.21203/rs.3.rs-1818425/v1">https://doi.org/10.21203/rs.3.rs-1818425/v1</ext-link>).</p>
            </sec>
            <sec id="sec12">
                <title>Study status</title>
                <p>This project is still in progress. Given the scarcity of relevant publications, searching for potential information sources such as grey databases are presently underway to carry out this systematic evaluation.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>Discussion</title>
            <p>Contextually, there is a paucity of national cancer screening programs and a shortage of infrastructure to deal with the rapidly expanding cancer treatment demands in Vietnam. Moreover, although legislative frameworks are in place for cancer control in Vietnam, there is still a lack of suitable financial and governance structures to support long-term cancer prevention and treatment plan. Therefore, the immediate requirement for enhanced cancer screening programs, enhanced risk stratification at clinical decision points, and the determination of the optimal timing for genetic testing concerning surgical decision-making in breast/ovarian cancer patients who carry the BRCA gene mutations are all issues that require urgent attention.</p>
            <p>To the best of our knowledge, this systematic review and meta-analysis will be the first to synthesize the data from separate studies to derive reliable estimates of the prevalence of BRCA gene mutations and its related factors among Vietnamese women with and without a cancer diagnosis. Based on our findings, the general public and healthcare practitioners will also have a heightened awareness of the significance of genetic testing and risk management for individuals who possess germline mutations.</p>
        </sec>
        <sec id="sec14">
            <title>Data availability</title>
            <sec id="sec15">
                <title>Underlying data</title>
                <p>No data are associated with this article.</p>
            </sec>
        </sec>
        <sec id="sec16">
            <title>Reporting guidelines</title>
            <p>Figshare: PRISMA-P checklist for &#x2018;The burden of BRCA1 and BRCA2 gene mutations among Vietnamese women and their associated factors: A protocol for a systematic review and meta-analysis&#x2019;. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.20308413">https://doi.org/10.6084/m9.figshare.20308413</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
            </p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
        </sec>
    </body>
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    <sub-article article-type="reviewer-report" id="report273060">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.136039.r273060</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ho</surname>
                        <given-names>Weang Kee</given-names>
                    </name>
                    <xref ref-type="aff" rid="r273060a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ang</surname>
                        <given-names>Boon Hong</given-names>
                    </name>
                    <xref ref-type="aff" rid="r273060a2">2</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r273060a1">
                    <label>1</label>University of Nottingham Malaysia, Semenyih, Malaysia</aff>
                <aff id="r273060a2">
                    <label>2</label>Cancer Prevention and Population Science, Cancer Research Malaysia, Subang Jaya, Selangor, 47500, Malaysia</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>13</day>
                <month>6</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Ho WK and Ang BH</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="relatedArticleReport273060" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.123884.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This protocol aims to synthesize evidence regarding the proportion of BRCA mutations and associated risk factors. However, the current protocol lacks clarity on several key aspects, including the review objective, target populations (e.g., type of cancer, healthy or affected individuals, or both), inclusion criteria (e.g., types of studies considered), and the intended meta-analysis for this review (e.g., random model and why). Below are major considerations to enhance the protocol's clarity and provide a more focused objective: 
                <list list-type="order">
                    <list-item>
                        <p>
                            <bold>Clarify Target Populations</bold>: Clearly define whether the review will include studies on specific cancer types, healthy individuals, affected individuals, or a combination of these groups. Specify the rationale for including each population and how do they help to address the research questions.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Specify Inclusion Criteria</bold>: Outline the specific types of studies that will be considered for inclusion. This should include criteria such as study design (e.g., randomized controlled trials, cohort studies, case-control studies) and population characteristics (e.g., healthy or cancer patients). For instance, how do these studies or target populations help to address research questions, particularly RCTs and healthy women?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Detail the Meta-Analysis Plan</bold>: Provide a comprehensive plan for the meta-analysis, including the statistical methods to be used and how data will be analysed. Currently, it is not clear if author&#x2019;s intention is to pool the prevalence of mutations only or both prevalence and risk factors. If so, how do authors intend to include healthy individuals in the analyses? Justify the choice of the meta-analysis model.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Search Strategy</bold>:&#x00a0; The search will include studies published until June 2023. Given that this review is not yet published and the status is ongoing, will the authors be updating the search?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Clarify Protocol Statements</bold>: 
                            <list list-type="bullet">
                                <list-item>
                                    <p>
                                        <bold>Wide Range of Estimates</bold>: Clarify what estimates are being referred to and for what purpose. For example, "Because there is a wide range of estimates of BRCA mutation prevalence, it may be difficult for physicians to choose which one to use."</p>
                                </list-item>
                                <list-item>
                                    <p>
                                        <bold>Risk Factors Prompting BRCA Testing: </bold>Clarify the meaning of "Which risk factors of Vietnamese women should prompt a physician to perform a BRCA gene test for the client?" Is the review aiming to provide guidance on which risk factors should trigger BRCA testing? Is this the expected finding implication, such as population-specific clinical criteria?</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                </list>
            </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>Partly</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>No</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Not applicable</p>
            <p>Reviewer Expertise:</p>
            <p>systematic review</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to state that we do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
