Evidence map›Paper›PMID 40623810›Full record

ArticleJournal of epidemiology and community health2025

Associations of municipality-level income and racial segregation with individual-level tuberculosis treatment outcomes in Brazil: a nationwide cohort study (2010-2019).

Qanisha Hall, José Firmino de Sousa Filho, Joanna Mn Guimarães, Deborah C Malta, Natalia Cristina Romero-Sandoval, Sally Hargreaves, Ligia Kerr, Gervasio F Santos, Elizabeth B Brickley, Enny S Paixão and 3 more

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Qanisha HallFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK Julia.Pescarini1@lshtm.ac.uk qanishahall@gmail.com.ORCID http://orcid.org/0009-0007-0343-6060
José Firmino de Sousa FilhoCentre for Data and Knowledge Integration for Health (CIDACS), Instituto Goncalo Moniz, Fundacao Oswald Cruz (Fiocruz), Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0001-5057-385X
Joanna Mn GuimarãesCentre for Data and Knowledge Integration for Health (CIDACS), Instituto Goncalo Moniz, Fundacao Oswald Cruz (Fiocruz), Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0002-6283-1008
Deborah C MaltaEscola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Natalia Cristina Romero-SandovalFaculdade de Ciencias Medicas de la Salud y Vida, Universidad Internacional del Ecuador, Quito, Ecuador.ORCID http://orcid.org/0000-0001-6881-6581
Sally HargreavesInstitute for Infection and Immunity, School of Health & Medical Sciences, City St George's, University of London, London, UK.
Ligia KerrCentro de Ciencias da Saude Comunitaria, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil.
Gervasio F SantosFaculdade de Economia, Universidade federal da Bahia (UFBA), Salvador, Bahia, Brazil.
Elizabeth B BrickleyFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Enny S PaixãoFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-4797-908X
Maurício L BarretoCentre for Data and Knowledge Integration for Health (CIDACS), Instituto Goncalo Moniz, Fundacao Oswald Cruz (Fiocruz), Salvador, Bahia, Brazil.
Julia M PescariniFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK Julia.Pescarini1@lshtm.ac.uk qanishahall@gmail.com.
Unit on the Social and Environmental Determinants of Health Inequalities (SEDHI)

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundResidential segregation is considered a social determinant of health, but there is limited evidence of its impact on tuberculosis (TB). We investigated the associations between municipality-level income and racial segregation and TB treatment outcomes in Brazil.

methodsWe studied nationwide registries of new TB cases between 1 January 2010 and 31 December 2019. TB treatment was dichotomised as unfavourable (ie, loss to follow-up, modification of treatment regimen, treatment failure and death) and favourable (ie, cured/treatment completion). We assessed individuals' municipality-level income and racial segregation (ie, dispersion of household heads earning ≤half versus those earning >half minimum wage; and of household heads identifying as black or brown/mixed race (

resultsIndividuals living in highly economically and racially segregated municipalities (fifth versus first quintiles) were more likely to have an unfavourable TB treatment outcome (income segregation: adjusted OR 1.34 (95% CI 1.31 to 1.37); racial segregation: 1.13 (0.94 to 1.36)). Living in municipalities of higher income segregation (third, fourth and fifth quintiles) was associated with higher unfavourable TB treatment outcomes in all self-identified racial groups (fifth quintile: white 1.25 (0.96 to 1.64); black 1.42 (1.15 to 1.74); brown/mixed 1.37 (1.20 to 1.56); Asian=1.30 (1.00 to 1.69) and Indigenous 1.37 (1.00 to 1.87)).

conclusionsLiving in highly income and racially segregated environments is associated with unfavourable TB treatment outcomes for all self-identified races in Brazil. TB programmes should account for segregation as a barrier to TB treatment completion.

Indexed as

IncomeRacismSocial SegregationTuberculosisAdultBrazilCohort StudiesFemaleHumansMaleMiddle AgedRegistriesSocioeconomic FactorsTreatment OutcomeHealth inequalitiesHOUSINGPOVERTYTREATMENT OUTCOMETUBERCULOSIS

Identifiers

PMID40623810
PMCPMC12505094

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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.