Evidence map›Paper›PMID 41891031›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Evaluating tuberculosis treatment outcomes and predictors in five Southern African countries: A multi-country cohort analysis.

Mirriam Ndhlovu, Leticia Wuethrich, Jacqueline Huwa, Agness Thawani, Geldert Chiwaya, Aubrey Kudzala, Joseph Chintedza, Guy Muula, Denise Evans, Idiovino Rafael and 8 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Mirriam NdhlovuLighthouse Trust, Lilongwe, Malawi.ORCID 0009-0005-3836-914X
Leticia WuethrichInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.ORCID 0009-0008-3990-3262
Jacqueline HuwaLighthouse Trust, Lilongwe, Malawi.
Agness ThawaniLighthouse Trust, Lilongwe, Malawi.
Geldert ChiwayaLighthouse Trust, Lilongwe, Malawi.
Aubrey KudzalaLighthouse Trust, Lilongwe, Malawi.
Joseph ChintedzaLighthouse Trust, Lilongwe, Malawi.
Guy MuulaCenter for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Denise EvansHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Idiovino RafaelSolidarMed, Chiure, Mozambique.
Cordelia KunzekwenyikaSolidarMed, Masvingo, Zimbabwe.
Fiona MureithiCenter for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Nelly JingaHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-6010-2867
Amina FernandoSolidarMed, Chiure, Mozambique.
Marie BallifInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Gunar GüntherDepartment of Pulmonology, Allergology and Clinical immunology, Inselspital, University Hospital of Bern, Bern, Switzerland.
Lukas FennerInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.ORCID 0000-0003-3309-4835
Nicolas BanholzerInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.ORCID 0000-0003-0138-6120

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

Introduction: Despite global progress in tuberculosis (TB) control, treatment outcomes remain suboptimal, particularly in high-burden settings and among people with HIV or drug-resistant TB. Identifying predictors of unsuccessful treatment is essential to improve TB care and policy. Methods: We evaluated TB treatment outcomes and patient characteristics associated with unsuccessful outcomes in five cohorts of the International epidemiology database to evaluate AIDS (IeDEA); Center for Infectious Disease Research, Zambia; Chiure health center, Mozambique; Martin Preuss Center, Lighthouse clinic, Malawi; Masvingo health center Zimbabwe; and Themba Lethu clinic, Hellen Joseph hospital, South Africa. We included all patients with TB aged ≥ 15 years starting TB treatment and assessed their treatment outcomes in association with sociodemographic and clinical characteristics using multivariable mixed-effects models. Unsuccessful outcomes were defined as death, loss to follow-up and treatment failure. Results: Among 1438 people with TB, median age was 39 years, 67% males, 40% with HIV, and 4% with MDR-TB; 1151 (80%) treatment outcomes were successful (606 cured and 545 completed treatment), 221 (15%) unsuccessful (89 deaths, 129 loss to follow-up and 3 treatment failures), and 66 (5%) other (49 unknown and 17 transfer-outs). Unsuccessful outcomes were more probable among people with multidrug-resistant TB (MDR-TB) and among participants without formal education. Risk of death was lower for people with bacteriologically confirmed TB (adjusted odds ratio (aOR) 0.5, 95%-credible interval [CI] 0.25-0.80), those with a secondary or higher education (aOR 0.3, 95%-CI 0.13-0.69) and BMI ≥18 kg/m Conclusions: TB treatment outcomes fell short of the targets set by the World Health Organization of <10% unsuccessful outcomes, indicating a critical need for enhanced management strategies. Tackling loss to follow-up is crucial, especially among MDR-TB patients, including stronger retention activities and improved diagnostic capacities.

Indexed as

cohortHIVoutcomespredictorsSouthern AfricaTuberculosis

Identifiers

PMID41891031
PMCPMC13015680

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.