SynthesisPloS one2019
Factors predictive of the success of tuberculosis treatment: A systematic review with meta-analysis.
Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
84 citing papers in PubMed, 7 syntheses or guidelines pooled it, 180 citations in OpenAlex.
- Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: a systematic review and meta-analysis.BMJ open · 2024Pooled it
- Time to sputum culture conversion and its associated factors among drug-resistant tuberculosis patients: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Prevalence and predictive factors of tuberculosis treatment interruption in the Asia region: a systematic review and meta-analysis.BMJ global health · 2023Pooled it
- Clinical pharmacy services for tuberculosis management: a systematic review.Frontiers in pharmacology · 2023Pooled it
- The impact of behavioural risk factors on communicable diseases: a systematic review of reviews.BMC public health · 2021Pooled it
- Tuberculosis Treatment Outcome and Predictors in Africa: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021Pooled it
- Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults.BMJ open · 2021Pooled it
- Treatment Strategy for Rifampin-Susceptible Tuberculosis.The New England journal of medicine · 2023Trial
- Trial
- Genomic epidemiology of Mycobacterium tuberculosis in Santa Catarina, Southern Brazil.Scientific reports · 2020Trial
- Hepatic steatosis affects the outcome of anti-tuberculosis treatment in pulmonary tuberculosis patients.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Article
- Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.The Journal of infectious diseases · 2026Article
- Within-host pathogen population diversity predicts treatment response in Tuberculosis.medRxiv : the preprint server for health sciences · 2026Article
- Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.Nature communications · 2026Article
- Host response biomarkers of tuberculosis recurrence and treatment failure.Communications medicine · 2026Article
- Ly6GeLife · 2026Article
- Article
- The synergy of therapeutic vaccination and timely diagnosis for TB control in high-burden settings: Nunavut as a case study.Journal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- Time to recovery among tuberculosis patients receiving anti-Koch's drug in Ibadan, Oyo State, Nigeria.BMC infectious diseases · 2025Article
- Determinants of treatment success and cost implications in MDR/RR-TB patients: a prospective cohort study in China.Scientific reports · 2025Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo produce pooled estimates of the global results of tuberculosis (TB) treatment and analyze the predictive factors of successful TB treatment.
methodsStudies published between 2014 and 2019 that reported the results of the treatment of pulmonary TB and the factors that influenced these results. The quality of the studies was evaluated according to the Newcastle-Ottawa quality assessment scale. A random effects model was used to calculate the pooled odds ratio (OR) and 95% confidence interval (CI). This review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) in February 2019 under number CRD42019121512.
resultsA total of 151 studies met the criteria for inclusion in this review. The success rate for the treatment of drug-sensitive TB in adults was 80.1% (95% CI: 78.4-81.7). America had the lowest treatment success rate, 75.9% (95% CI: 73.8-77.9), and Oceania had the highest, 83.9% (95% CI: 75.2-91.0). In children, the success rate was 84.8% (95% CI: 77.7-90.7); in patients coinfected with HIV, it was 71.0% (95% CI: 63.7-77.8), in patients with multidrug-resistant TB, it was 58.4% (95% CI: 51.4-64.6), in patients with and extensively drug-resistant TB it was 27.1% (12.7-44.5). Patients with negative sputum smears two months after treatment were almost three times more likely to be successfully treated (OR 2.7; 1.5-4.8), whereas patients younger than 65 years (OR 2.0; 1.7-2.4), nondrinkers (OR 2.0; 1.6-2.4) and HIV-negative patients (OR 1.9; 1.6-2.5 3) were two times more likely to be successfully treated.
conclusionThe success of TB treatment at the global level was good, but was still below the defined threshold of 85%. Factors such as age, sex, alcohol consumption, smoking, lack of sputum conversion at two months of treatment and HIV affected the success of TB treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.