Evidence map›Paper›PMID 33883022›Full record

ArticleTropical medicine and health2021

Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil.

Danielle Talita Dos Santos, Luiz Henrique Arroyo, Yan Mathias Alves, Luana Seles Alves, Thais Zamboni Berra, Juliane de Almeida Crispim, Josilene Dália Alves, Denisse Andrea Cartagena Ramos, Jonas Bodini Alonso, Ivaneliza Simionato de Assis and 6 more

Abstract read
In one paragraph

Article in Tropical medicine and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Record linkage in tuberculosis epidemiological surveillance in Brazil: systematic methodological literature review.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

16 authors.

Danielle Talita Dos SantosRibeirão Preto College of Nursing (EERP/USP), University of São Paulo, Avenida dos Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, São Paulo, 14040-902, Brazil.
Luiz Henrique ArroyoRibeirão Preto College of Nursing (EERP/USP), University of São Paulo, Avenida dos Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, São Paulo, 14040-902, Brazil.
Yan Mathias AlvesPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Luana Seles AlvesPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Thais Zamboni BerraPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Juliane de Almeida CrispimInter-institucional Doctoral Program in Nursing, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Josilene Dália AlvesNursing Department, Federal University of Mato Grosso, Barra do Garças, Cuiabá, Brazil.
Denisse Andrea Cartagena RamosFacultad de Enfermería, Universidade Andrés Bello, Santiago, Chile.
Jonas Bodini AlonsoRibeirão Preto College of Nursing (EERP/USP), University of São Paulo, Avenida dos Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, São Paulo, 14040-902, Brazil.
Ivaneliza Simionato de AssisUniversity Center Dinâmica of Cataratas (UDC), Foz do Iguazu, Paraná, Brazil.
Antônio Vieira RamosPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Elma Mathias DessuntiState University of Londrina, Londrina, Brazil.
Ione Carvalho PintoPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Pedro Fredemir PalhaPostgraduate in the Public Health Nursing Program, Ribeirão Preto College of Nursing at University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Ricardo Alexandre ArcêncioRibeirão Preto College of Nursing (EERP/USP), University of São Paulo, Avenida dos Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, São Paulo, 14040-902, Brazil. ricardo@eerp.usp.br.ORCID http://orcid.org/0000-0003-4792-8714
Carla NunesNOVA National School of Public Health, Universidade NOVA de Lisboa, Lisbon, Portugal.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 305236/2015-6Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.132524/2016-01Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/17586-3
6 · The paper itself

Abstract

backgroundA diagnosis of tuberculosis (TB) does not mean that the disease will be treated successfully, since death may occur even among those who are known to the health services. Here, we aimed to analyze patient survival time from the diagnosis of TB to death, precocious deaths, and associated factors in southern Brazil.

methodsWe conducted a longitudinal study with patients who were diagnosed with TB and who died due to the disease between 2008 and 2015 in southern Brazil. The starting point for measuring survival time was the patient's diagnosis date. Techniques for survival analysis were employed, including the Kaplan-Meier test and Cox's regression. A mixed-effect model was applied for identifying the associated factors to precocious deaths. Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (95% CI) were estimated. We defined p value <0.05 as statistically significant for all statistics applied.

resultsOne hundred forty-six patients were included in the survival analysis, observing a median survival time of 23.5 days. We observed that alcoholism (HR=1.55, 95% CI=1.04-2.30) and being male (HR=6.49, 95% CI=1.03-2.68) were associated with death. The chance of precocious death within 60 days was 10.48 times greater than the chance of early death within 30 days.

conclusionMost of the deaths occurred within 2 months after the diagnosis, during the intensive phase of the treatment. The use of alcohol and gender were associated with death, revealing inequality between men and women. This study advanced knowledge regarding the vulnerability associated with mortality. These findings must be addressed to fill a gap in the care cascades for active TB and ensure equity in health.

Indexed as

HIVMortalityRisk factorsSurvival analysisTuberculosis

Identifiers

PMID33883022
PMCPMC8058757

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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.