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Systematic review and meta-analysis of predictive accuracy of prognostic models for poor treatment outcome of drug resistance tuberculosis

Abstract Tuberculosis (TB) remains a global health challenge, with drug-resistant (DR) forms of the disease posing a significant threat to effective disease control. Prognostic models are crucial tools that aid in clinical decision-making by predicting the likelihood of adverse treatment outcomes. E...

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Автори: Denekew Tenaw Anley, Melaku Ashagrie Belete, Ermias Sisay Chanie, Anteneh Mengist Dessie, Melkamu Aderajew Zemene, Asaye Alamneh Gebeyehu, Ermiyas Alemayehu, Natnael Moges, Natnael Kebede, Sintayehu Simie Tsega, Zufan Alamrie Asmare, Rahel Mulatie Anteneh
Формат: Artigo
Мова:Inglês
Опубліковано: Nature Portfolio 2026-05-01
Серія:Scientific Reports
Предмети:
Drug resistance tuberculosis
Poor treatment outcome
Prediction
Predictive accuracy
Systematic review
Meta-analysis
Онлайн доступ:https://doi.org/10.1038/s41598-026-53145-8
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