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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Autors principals:	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
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	Drug resistance tuberculosis Poor treatment outcome Prediction Predictive accuracy Systematic review Meta-analysis
Accés en línia:	https://doi.org/10.1038/s41598-026-53145-8
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