SynthesisBMJ global health2025
Pretreatment attrition after rifampicin-resistant tuberculosis diagnosis with Xpert MTB/RIF or ultra in high TB burden countries: a systematic review and meta-analysis.
Synthesis in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
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4 authors.
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Abstract
introductionThe 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).
methodsIn 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.
resultsThirty 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.
conclusionPretreatment 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. PROSPERO REGISTRATION NUMBER: CRD42022321509.
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