Evidence map›Paper›PMID 41039891›Full record

ArticleTropical medicine & international health : TM & IH2025

Rates and Risk Factors for On-Treatment Mortality Among a Cohort of Adults Treated for Drug-Sensitive Tuberculosis: Analysis of Data From the Adherence Support Coalition to End Tuberculosis Consortium in Five Countries.

Amare W Tadesse, Noriah Maraba, Jason Alacapa, Katya Gamazina, Tanyaradzwa Dube, Baraka Onjare, Norma Madden, Salome Charalambous, Christopher Finn McQuaid, Degu Jerene and 1 more

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Amare W TadesseDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.ORCID https://orcid.org/0000-0002-7805-3191
Noriah MarabaThe Aurum Institute, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-3974-5961
Jason AlacapaKNCV Tuberculosis Plus, Manila, Philippines.ORCID https://orcid.org/0000-0002-0794-3947
Katya GamazinaProgram for Appropriate Technology in Health (PATH), Kyiv, Ukraine.
Tanyaradzwa DubeThe Aurum Institute, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-3928-7574
Baraka OnjareKNCV Tuberculosis Plus, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0001-5798-3798
Norma MaddenKNCV Tuberculosis Plus, The Hague, the Netherlands.ORCID https://orcid.org/0000-0002-7667-2108
Salome CharalambousThe Aurum Institute, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7143-1009
Christopher Finn McQuaidDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.ORCID https://orcid.org/0000-0001-6199-0931
Degu JereneKNCV Tuberculosis Plus, The Hague, the Netherlands.ORCID https://orcid.org/0000-0001-7853-4211
Katherine L FieldingDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.ORCID https://orcid.org/0000-0002-6524-3754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis remains a leading cause of death globally, particularly in countries with high tuberculosis and HIV burdens. Disruptions caused by the COVID-19 pandemic may have further impacted tuberculosis outcomes. This study examines on-treatment mortality and associated risk factors in five countries.

methodWe conducted a secondary analysis of data from ASCENT cluster-randomised trials of digital adherence tools for improved adherence involving 23,799 adults with drug-sensitive tuberculosis in South Africa, Tanzania, Ethiopia, the Philippines, and Ukraine. Analyses were conducted separately by country. Mortality rates were measured from treatment initiation to the earliest of 6 months, death, or loss to follow-up. Cox regression models (with random effects or robust standard errors for clustering) assessed the associations between mortality and HIV status, ART use, tuberculosis diagnosis type, and calendar periods (COVID-19 pandemic and conflict in Ukraine).

resultsMortality rates ranged from 7.6 (Ethiopia) to 23.2 (Tanzania) and 23.3 (Ukraine) per 100 person-years. Higher mortality was associated with: older age in all countries (age < 30 versus ≥ 60 years, adjusted rate ratio [aRR] ranging from 2.38 to 6.57 by country); HIV status (positive versus negative, aRR ranging from 1.44 to 2.98 by country); tuberculosis diagnosis type (clinical vs. bacteriological, aRR 1.5-1.6 in Ethiopia, Tanzania and South Africa); extrapulmonary tuberculosis (aRR 1.44 to 1.60 in Ukraine and Tanzania). ART versus HIV-positive not on ART was linked to lower mortality in South Africa and Ukraine but not in Tanzania. Analyses suggested possible mortality variations by calendar period.

conclusionOur findings suggest variability in tuberculosis mortality across settings, influenced by HIV/ART and diagnosis type. The high mortality rates across countries may reflect underlying causes or potential misdiagnoses. Further investigation into these factors may be needed to improve tuberculosis outcomes globally.

Indexed as

Antitubercular AgentsCOVID-19HIV InfectionsTuberculosisAdultEthiopiaFemaleHumansMaleMiddle AgedPhilippinesRisk FactorsSARS-CoV-2South AfricaTanzaniaUkraineAntitubercular Agentsadultscohort analysisdrug‐sensitive tuberculosismortalityrisk factors

Identifiers

PMID41039891
PMCPMC12675320

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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.