Evidence map›Paper›PMID 34651642›Full record

Observational studyThe Journal of infectious diseases2022

The Effect of Diabetes and Prediabetes on Antituberculosis Treatment Outcomes: A Multicenter Prospective Cohort Study.

María B Arriaga, Mariana Araújo-Pereira, Beatriz Barreto-Duarte, Betânia Nogueira, Maria Vitória C N S Freire, Artur T L Queiroz, Moreno M S Rodrigues, Michael S Rocha, Alexandra B Souza, Renata Spener-Gomes and 12 more

Open access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% of its field
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, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Tuberculosis Treatment Outcomes in Brazil: Different Predictors for Each Type of Unsuccessful Outcome.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Observational
  17. Review
  18. Article
  19. Article
  20. Clinical standards for drug-susceptible pulmonary TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    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

22 authors at 10 institutions in 2 countries.

María B ArriagaLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Mariana Araújo-PereiraLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Beatriz Barreto-DuarteLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Betânia NogueiraMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.
Maria Vitória C N S FreireCurso de Medicina, Escola Bahiana de Medicina e Saúde Pública, Salvador, Brazil.
Artur T L QueirozMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.
Moreno M S RodriguesLaboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, Brazil.
Michael S RochaMultinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, Brazil.
Alexandra B SouzaFundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.
Renata Spener-GomesFundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.
Anna Cristina C CarvalhoPrograma Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Marina C FigueiredoDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Megan M TurnerDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Betina DurovniSecretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil.
José R Lapa-E-SilvaPrograma Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Afrânio L KritskiPrograma Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Solange CavalcanteSecretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brazil.
Valeria C RollaLaboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil.
Marcelo Cordeiro-SantosFundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.
Timothy R SterlingDivision of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Bruno B AndradeLaboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.ORCID 0000-0001-6833-3811
Regional Prospective Observational Research in Tuberculosis (RePORT)–Brazil Consortium
Universidade Federal da Bahia · BRUniversidade Federal do Rio de Janeiro · BRFundação de Medicina Tropical · BRVanderbilt University · USFundação Oswaldo Cruz · BRSecretaria Municipal de Saúde · BREscola Bahiana de Medicina e Saúde Pública · BRFundo Brasil · BRInstituto Evandro Chagas · BRUniversidade Salvador · BR

Funding

CCASAnet: Caribbean, Central and South America NetworkU01AI069923 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Pedro Enrique Cahn, Jessica L Castilho · 2006 to 2026
$41.6M
NIAID NIH HHS U01 AI069923
6 · The paper itself

Abstract

backgroundIt is unclear whether diabetes or prediabetes affects unfavorable treatment outcomes and death in people with tuberculosis (PWTB).

methodsCulture-confirmed, drug-susceptible PWTB, enrolled in the Regional Prospective Observational Research in Tuberculosis (RePORT)-Brazil cohort between 2015 and 2019 (N = 643) were stratified based on glycemic status according to baseline glycated hemoglobin. Unfavorable tuberculosis (TB) outcome was defined as treatment failure or modification, recurrence, or death; favorable outcome was cure or treatment completion. We corroborated the findings using data from PWTB reported to the Brazilian National System of Diseases Notification (SINAN) during 2015-2019 (N = 20 989). Logistic regression models evaluated associations between glycemic status and outcomes.

resultsIn both cohorts, in univariate analysis, unfavorable outcomes were more frequently associated with smoking, illicit drug use, and human immunodeficiency virus infection. Diabetes, but not prediabetes, was associated with unfavorable outcomes in the RePORT-Brazil (adjusted relative risk [aRR], 2.45; P < .001) and SINAN (aRR, 1.76; P < .001) cohorts. Furthermore, diabetes was associated with high risk of death (during TB treatment) in both RePORT-Brazil (aRR, 2.16; P = .040) and SINAN (aRR, 1.93; P = .001).

conclusionsDiabetes was associated with an increased risk of unfavorable outcomes and mortality in Brazilian PWTB. Interventions to improve TB treatment outcomes in persons with diabetes are needed.

Indexed as

Diabetes MellitusPrediabetic StateTuberculosisAntitubercular AgentsCohort StudiesHumansProspective StudiesTreatment OutcomeAntitubercular AgentsdiabetesMycobacterium tuberculosisprediabetesSINANtreatment outcome

Identifiers

PMID34651642
PMCPMC8844586
OpenAlexW3147996998

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.