Evidence map›Paper›PMID 38802744›Full record

ArticleBMC infectious diseases2024

Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records.

Do Kyung Ryuk, Daniele M Pelissari, Kleydson Alves, Patricia Bartholomay Oliveira, Marcia C Castro, Ted Cohen, Mauro Sanchez, Nicolas A Menzies

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Long-term Mortality Trends Among Individuals With Tuberculosis: A Retrospective Cohort Study of Individuals Diagnosed With Tuberculosis in Brazil.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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  16. Observational
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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

8 authors.

Do Kyung RyukDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA, 02115, USA.
Daniele M PelissariNational Tuberculosis Programme, Ministry of Health, Brasilia, Brazil.
Kleydson AlvesPan-American Health Organization/World Health Organization, Brasilia, Brazil.
Patricia Bartholomay OliveiraNational Tuberculosis Programme, Ministry of Health, Brasilia, Brazil.
Marcia C CastroDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA, 02115, USA.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Mauro SanchezDepartment of Public Health, University of Brasilia, Brasilia, Brazil.
Nicolas A MenziesDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA, 02115, USA. nmenzies@hsph.harvard.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Optimal targeting for individual and population-level TB preventionR01AI146555 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI MENZIES, NICOLAS A · 2020 to 2024
$2.5M
National Institute of Health, United States R01AI146555NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI146555World Health Organization 001
6 · The paper itself

Abstract

introductionTuberculosis (TB) causes over 1 million deaths annually. Providing effective treatment is a key strategy for reducing TB deaths. In this study, we identified factors associated with unsuccessful treatment outcomes among individuals treated for TB in Brazil.

methodsWe obtained data on individuals treated for TB between 2015 and 2018 from Brazil's National Disease Notification System (SINAN). We excluded patients with a history of prior TB disease or with diagnosed TB drug resistance. We extracted information on patient-level factors potentially associated with unsuccessful treatment, including demographic and social factors, comorbid health conditions, health-related behaviors, health system level at which care was provided, use of directly observed therapy (DOT), and clinical examination results. We categorized treatment outcomes as successful (cure, completed) or unsuccessful (death, regimen failure, loss to follow-up). We fit multivariate logistic regression models to identify factors associated with unsuccessful treatment.

resultsAmong 259,484 individuals treated for drug susceptible TB, 19.7% experienced an unsuccessful treatment outcome (death during treatment 7.8%, regimen failure 0.1%, loss to follow-up 11.9%). The odds of unsuccessful treatment were higher with older age (adjusted odds ratio (aOR) 2.90 [95% confidence interval: 2.62-3.21] for 85-100-year-olds vs. 25-34-year-olds), male sex (aOR 1.28 [1.25-1.32], vs. female sex), Black race (aOR 1.23 [1.19-1.28], vs. White race), no education (aOR 2.03 [1.91-2.17], vs. complete high school education), HIV infection (aOR 2.72 [2.63-2.81], vs. no HIV infection), illicit drug use (aOR 1.95 [1.88-2.01], vs. no illicit drug use), alcohol consumption (aOR 1.46 [1.41-1.50], vs. no alcohol consumption), smoking (aOR 1.20 [1.16-1.23], vs. non-smoking), homelessness (aOR 3.12 [2.95-3.31], vs. no homelessness), and immigrant status (aOR 1.27 [1.11-1.45], vs. non-immigrants). Treatment was more likely to be unsuccessful for individuals treated in tertiary care (aOR 2.20 [2.14-2.27], vs. primary care), and for patients not receiving DOT (aOR 2.35 [2.29-2.41], vs. receiving DOT).

conclusionThe risk of unsuccessful TB treatment varied systematically according to individual and service-related factors. Concentrating clinical attention on individuals with a high risk of poor treatment outcomes could improve the overall effectiveness of TB treatment in Brazil.

Indexed as

Antitubercular AgentsTreatment FailureTuberculosisAdolescentAdultAgedAged, 80 and overBrazilChildChild, PreschoolDirectly Observed TherapyFemaleHIV InfectionsHumansInfantMaleAntitubercular Agents

Identifiers

PMID38802744
PMCPMC11129366

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.