Christelle Geneviève Jouego, Tom Decroo, Palmer Masumbe Netongo, Tinne Gils
{"title":"在结核病高负担国家用Xpert MTB/RIF或ultra诊断利福平耐药结核病后的预处理损耗：一项系统回顾和荟萃分析。","authors":"Christelle Geneviève Jouego, Tom Decroo, Palmer Masumbe Netongo, Tinne Gils","doi":"10.1136/bmjgh-2024-015977","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The WHO endorsed the Xpert MTB/RIF (Xpert) technique since 2011 as initial test to diagnose rifampicin-resistant tuberculosis (RR-TB). No systematic review has quantified the proportion of pretreatment attrition in RR-TB patients diagnosed with Xpert in high TB burden countries.Pretreatment attrition for RR-TB represents the gap between patients diagnosed and those who effectively started anti-TB treatment regardless of the reasons (which include pretreatment mortality (death of a diagnosed RR-TB patient before starting adequate treatment) and/or pretreatment loss to follow-up (PTLFU) (drop-out of a diagnosed RR-TB patient before initiation of anti-TB treatment).</p><p><strong>Methods: </strong>In this systematic review and meta-analysis, we queried EMBASE, PubMed and Web of science to retrieve studies published between 2011 and 22 July 2024, that described pretreatment attrition for RR-TB using Xpert in high TB burden countries. Data on RR-TB patients who did not start treatment after diagnosis and reasons for not starting were extracted in an Excel table. A modified version of the Newcastle-Ottawa scale was used to evaluate the risk of bias among all included studies. The pooled proportion of pretreatment attrition and reasons were assessed using random-effects meta-analysis. Forest plots were generated using R software.</p><p><strong>Results: </strong>Thirty eligible studies from 21 countries were identified after full-text screening and included in the meta-analysis. Most studies used routine programme data. The pooled proportion of pretreatment attrition in included studies was 18% (95% CI: 12 to 25). PTLFU and pretreatment mortality were, respectively, reported in 10 and nine studies and explained 78% (95% CI: 51% to 92%) and 30% (95% CI: 15% to 52%) of attrition.</p><p><strong>Conclusion: </strong>Pretreatment attrition was widespread, with significant heterogeneity between included studies. National TB programmes should ensure accurate data collection and reporting of pretreatment attrition to enable reliable overall control strategies.</p><p><strong>Prospero registration number: </strong>CRD42022321509.</p>","PeriodicalId":9137,"journal":{"name":"BMJ Global Health","volume":"10 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758687/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pretreatment attrition after rifampicin-resistant tuberculosis diagnosis with Xpert MTB/RIF or ultra in high TB burden countries: a systematic review and meta-analysis.\",\"authors\":\"Christelle Geneviève Jouego, Tom Decroo, Palmer Masumbe Netongo, Tinne Gils\",\"doi\":\"10.1136/bmjgh-2024-015977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The WHO endorsed the Xpert MTB/RIF (Xpert) technique since 2011 as initial test to diagnose rifampicin-resistant tuberculosis (RR-TB). No systematic review has quantified the proportion of pretreatment attrition in RR-TB patients diagnosed with Xpert in high TB burden countries.Pretreatment attrition for RR-TB represents the gap between patients diagnosed and those who effectively started anti-TB treatment regardless of the reasons (which include pretreatment mortality (death of a diagnosed RR-TB patient before starting adequate treatment) and/or pretreatment loss to follow-up (PTLFU) (drop-out of a diagnosed RR-TB patient before initiation of anti-TB treatment).</p><p><strong>Methods: </strong>In this systematic review and meta-analysis, we queried EMBASE, PubMed and Web of science to retrieve studies published between 2011 and 22 July 2024, that described pretreatment attrition for RR-TB using Xpert in high TB burden countries. Data on RR-TB patients who did not start treatment after diagnosis and reasons for not starting were extracted in an Excel table. A modified version of the Newcastle-Ottawa scale was used to evaluate the risk of bias among all included studies. The pooled proportion of pretreatment attrition and reasons were assessed using random-effects meta-analysis. Forest plots were generated using R software.</p><p><strong>Results: </strong>Thirty eligible studies from 21 countries were identified after full-text screening and included in the meta-analysis. Most studies used routine programme data. The pooled proportion of pretreatment attrition in included studies was 18% (95% CI: 12 to 25). PTLFU and pretreatment mortality were, respectively, reported in 10 and nine studies and explained 78% (95% CI: 51% to 92%) and 30% (95% CI: 15% to 52%) of attrition.</p><p><strong>Conclusion: </strong>Pretreatment attrition was widespread, with significant heterogeneity between included studies. National TB programmes should ensure accurate data collection and reporting of pretreatment attrition to enable reliable overall control strategies.</p><p><strong>Prospero registration number: </strong>CRD42022321509.</p>\",\"PeriodicalId\":9137,\"journal\":{\"name\":\"BMJ Global Health\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758687/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Global Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjgh-2024-015977\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjgh-2024-015977","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Pretreatment attrition after rifampicin-resistant tuberculosis diagnosis with Xpert MTB/RIF or ultra in high TB burden countries: a systematic review and meta-analysis.
Introduction: The WHO endorsed the Xpert MTB/RIF (Xpert) technique since 2011 as initial test to diagnose rifampicin-resistant tuberculosis (RR-TB). No systematic review has quantified the proportion of pretreatment attrition in RR-TB patients diagnosed with Xpert in high TB burden countries.Pretreatment attrition for RR-TB represents the gap between patients diagnosed and those who effectively started anti-TB treatment regardless of the reasons (which include pretreatment mortality (death of a diagnosed RR-TB patient before starting adequate treatment) and/or pretreatment loss to follow-up (PTLFU) (drop-out of a diagnosed RR-TB patient before initiation of anti-TB treatment).
Methods: In this systematic review and meta-analysis, we queried EMBASE, PubMed and Web of science to retrieve studies published between 2011 and 22 July 2024, that described pretreatment attrition for RR-TB using Xpert in high TB burden countries. Data on RR-TB patients who did not start treatment after diagnosis and reasons for not starting were extracted in an Excel table. A modified version of the Newcastle-Ottawa scale was used to evaluate the risk of bias among all included studies. The pooled proportion of pretreatment attrition and reasons were assessed using random-effects meta-analysis. Forest plots were generated using R software.
Results: Thirty eligible studies from 21 countries were identified after full-text screening and included in the meta-analysis. Most studies used routine programme data. The pooled proportion of pretreatment attrition in included studies was 18% (95% CI: 12 to 25). PTLFU and pretreatment mortality were, respectively, reported in 10 and nine studies and explained 78% (95% CI: 51% to 92%) and 30% (95% CI: 15% to 52%) of attrition.
Conclusion: Pretreatment attrition was widespread, with significant heterogeneity between included studies. National TB programmes should ensure accurate data collection and reporting of pretreatment attrition to enable reliable overall control strategies.
期刊介绍：
BMJ Global Health is an online Open Access journal from BMJ that focuses on publishing high-quality peer-reviewed content pertinent to individuals engaged in global health, including policy makers, funders, researchers, clinicians, and frontline healthcare workers. The journal encompasses all facets of global health, with a special emphasis on submissions addressing underfunded areas such as non-communicable diseases (NCDs). It welcomes research across all study phases and designs, from study protocols to phase I trials to meta-analyses, including small or specialized studies. The journal also encourages opinionated discussions on controversial topics.
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