Evidence map›Paper›PMID 40069306›Full record

ArticleScientific reports2025

Geographic inequalities and factors associated with unfavorable outcomes in diabetes-tuberculosis and diabetes-covid comorbidities in Brazil.

Luana Seles Alves, Thaís Zamboni Berra, Yan Mathias Alves, Letícia Perticarrara Ferezin, André Luiz Teixeira Vinci, Reginaldo Bazon Vaz Tavares, Ariela Fehr Tártaro, Dulce Gomes, Ricardo Alexandre Arcêncio

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Luana Seles AlvesRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0003-0219-7479
Thaís Zamboni BerraRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0002-4163-8719
Yan Mathias AlvesRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0002-5596-0047
Letícia Perticarrara FerezinRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0003-1463-8155
André Luiz Teixeira VinciRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0003-3743-0250
Reginaldo Bazon Vaz TavaresRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0002-5378-6962
Ariela Fehr TártaroRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0002-2329-6268
Dulce GomesUniversity of Évora, Évora, Portugal.ORCID http://orcid.org/0000-0001-8085-1945
Ricardo Alexandre ArcêncioRibeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil. ricardo@eerp.usp.br.ORCID http://orcid.org/0000-0003-4792-8714

Funding

CNPq Productivity Grant Project 307014/2022-3Coordenação de Aperfeiçoamento de Pessoal de Nível Superior CODE 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/08510-7
6 · The paper itself

Abstract

The rapid spread of COVID-19 have overwhelmed health systems, especially in the care of chronic disease such as tuberculosis and diabetes. The objective of the study was to analyze the magnitude and relevance of tuberculosis-diabetes and diabetes-COVID-19 comorbidities in spatial risk areas and their factors associated with unfavorable outcomes in the Brazilian population between 2020 and 2022. An ecological study was carried out in Brazilian municipalities. The population was composed by cases of tuberculosis-diabetes and diabetes-COVID-19 comorbidities, registered in the Influenza Epidemiological Surveillance Information System (SIVEP-GRIPE) and in DATASUS from 2020 to 2022. The Scan Statistics technique was used to identify spatial risk clusters. Binary logistic regression was then employed to understand the relationship between outcomes and comorbidities, considering clinical and sociodemographic variables. A total of 24,750 cases of tuberculosis-diabetes comorbidity were identified, which consisted of an incidence of 3.2 cases per 100,000 inhabitants. Risk clusters were identified in the Central-West and North regions. 303,210 cases of diabetes- COVID-19 comorbidity were identified, resulting in an incidence of 0.4 cases per 100,000 inhabitants. São Paulo-SP, Rio de Janeiro-RJ and Belo Horizonte-MG were the municipalities with the highest spatial risk of illness. The analysis of the spatial risk areas revealed distinct patterns in the geographic distribution of comorbidities. Based on the findings, it is concluded that comorbidities between tuberculosis and diabetes, as well as between COVID-19 and diabetes, represent significant challenges for public health in Brazil, deserving attention from health authorities and the scientific community.

Indexed as

COVID-19Diabetes MellitusTuberculosisAdolescentAdultAgedBrazilComorbidityFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSARS-CoV-2Socioeconomic FactorsCOVID-19Diabetes mellitusHealth servicesTuberculosis

Identifiers

PMID40069306
PMCPMC11897301

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.