Evidence map›Paper›PMID 40249758›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Long-term Mortality Trends Among Individuals With Tuberculosis: A Retrospective Cohort Study of Individuals Diagnosed With Tuberculosis in Brazil.

Sun Kim, Daniele M Pelissari, Luiza O Harada, Mauro Sanchez, Patricia Bartholomay Oliveira, Fernanda D C Johansen, Ethel L N Maciel, Ted Cohen, Marcia C Castro, Nicolas A Menzies

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Sun KimDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-2466-2442
Daniele M PelissariHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.
Luiza O HaradaHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.ORCID 0009-0005-6165-5232
Mauro SanchezDepartment of Public Health, University of Brasília, Brasília, Brazil.
Patricia Bartholomay OliveiraHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.ORCID 0000-0002-4881-0630
Fernanda D C JohansenHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.ORCID 0000-0002-1762-9484
Ethel L N MacielHealth and Environment Surveillance Secretariat, Ministry of Health, Brasília, Brazil.ORCID 0000-0003-4826-3355
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-8091-7198
Marcia C CastroDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Nicolas A MenziesDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-2571-016X

Funding

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 Allergy and Infectious DiseasesNIAID NIH HHS R01 AI146555NIH HHS R01AI146555
6 · The paper itself

Abstract

backgroundEven after successful treatment, individuals surviving tuberculosis (TB) disease experience elevated mortality rates. However, there is limited evidence on how these risks vary over time and by individual characteristics.

methodsWe conducted a retrospective cohort study of individuals diagnosed with TB in Brazil, using national TB notifications and linked mortality records for 2007-2016. We estimated mortality rate ratios (MRRs) and cumulative mortality by year since TB diagnosis, compared to general population mortality matched on age, sex, year, and state. We identified clinical and sociodemographic factors associated with elevated post-TB mortality, and compared the distribution of causes of death to the general population.

resultsThe study sample included 834 594 individuals, with 4.1 million person-years of follow-up (average, 4.9 years). The TB cohort had elevated mortality compared to the general population, particularly in the first year postdiagnosis (MRR, 11.28 [95% confidence interval {CI}, 11.18-11.37]). Post-TB MRRs declined from 3.59 (95% CI, 3.53-3.64) in year 2 to 1.46 (95% CI, 1.34-1.59) in year 10. Cumulative excess mortality was 6.12% (95% CI, 6.07%-6.17%) after 1 year and 9.90% (95% CI, 9.58%-10.24%) after 10 years. MRRs were highest for individuals 30-44 years old at diagnosis. Relapse, loss to follow-up, and co-prevalent conditions like human immunodeficiency virus (HIV) and alcohol use disorder were strongly associated with higher MRRs. Over time, major causes of death in the TB cohort shifted from TB and HIV to cardiovascular disease, cancer, and non-TB respiratory diseases.

conclusionsIndividuals developing TB disease face elevated mortality up to 10 years after diagnosis. These excess risks vary across demographic and clinical characteristics.

Indexed as

TuberculosisAdolescentAdultAgedBrazilCause of DeathChildChild, PreschoolFemaleHIV InfectionsHumansMaleMiddle AgedMortalityRetrospective StudiesRisk Factorscause of deathclinical factorslong-term mortalityposttuberculosistuberculosis survivors

Identifiers

PMID40249758
PMCPMC13375577

What Socratic 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 Socratic graph.