Evidence map›Paper›PMID 42417774›Full record

ArticleCadernos de saude publica2026

[Temporal trends and clinical-epidemiological profile of visceral leishmaniasis-HIV coinfection in Brazilian states between 2009 and 2024].

Marina França, Mirella Ferreira da Cunha Santos, Juceli Gonzalez Gouveia, Leandro Antero

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Marina FrançaUniversidade Estadual do Mato Grosso do Sul, Dourados, Brasil.ORCID http://orcid.org/0009-0000-2504-4702
Mirella Ferreira da Cunha SantosUniversidade Estadual do Mato Grosso do Sul, Dourados, Brasil.ORCID http://orcid.org/0000-0001-9126-7162
Juceli Gonzalez GouveiaUniversidade Estadual do Mato Grosso do Sul, Dourados, Brasil.ORCID http://orcid.org/0009-0000-4117-8030
Leandro AnteroUniversidade Estadual do Mato Grosso do Sul, Dourados, Brasil.ORCID http://orcid.org/0000-0001-9367-3893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze temporal trends and the clinical-epidemiological profile of visceral leishmaniasis (VL)-HIV coinfection in Brazil between 2009 and 2024. This ecological time-series and descriptive cross-sectional study used data from the Brazilian Information System for Notifiable Diseases (SINAN, acronym in Portuguese) covering eight states with the highest VL incidence: Bahia, Ceará, Maranhão, Minas Gerais, Mato Grosso do Sul, Pará, São Paulo, and Tocantins. Annual coinfection rates were calculated as the ratio between the number of reported VL-HIV coinfection cases and the resident population of the respective state in the same year, multiplied by 100,000. Temporal trends were evaluated using segmented regression to estimate the annual percentage change (APC). Correlation analyses (Spearman), categorical associations (Pearson's chi-squared test), differences in means (Student's t-test), and binary logistic regression (odds ratio - OR) for symptoms were also performed. An increasing trend in coinfection rates was observed in Bahia (APC = 4.2), Mato Grosso do Sul (APC = 19.7), Pará (APC = 10.4), and Tocantins (APC = 8.4). Ceará and Minas Gerais showed an initial increase followed by a decline. A moderate positive correlation was observed between VL cases and coinfection (ρ = 0.313; p < 0.001). Coinfected individuals had a higher mean age (37.9 versus 27.3 years; p < 0.001) and were predominantly male (72.4% versus 59.8%). Mixed-race individuals were the most prevalent, with a higher proportion of Black individuals among coinfected patients. Symptoms associated with coinfection included fever (OR = 2.44), jaundice (OR = 1.69), and edema (OR = 1.56), whereas weight loss, hepatomegaly, and associated infection were associated with lower odds. VL-HIV coinfection shows heterogeneous patterns, with increasing trends in endemic states and distinct temporal segments across Federative Units. These findings reinforce the need for integrated strategies for surveillance, diagnosis, and treatment.

Indexed as

CoinfectionHIV InfectionsLeishmaniasis, VisceralAdolescentAdultBrazilChildCross-Sectional StudiesFemaleHumansIncidenceMaleMiddle AgedTime FactorsYoung Adult

Identifiers

PMID42417774
PMCPMC13335778

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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.