Evidence map›Paper›PMID 41221949›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2025

Spatiotemporal patterns of acute paracoccidioidomycosis hospitalizations in Brazil, 2014-2023.

Marina Cristina Gadêlha, Gustavo Cezar Wagner Leandro, Deisiany Gomes Ferreira, Amanda de Carvalho Dutra, Rosane Christine Hahn, Luciano de Andrade, Melyssa Negri

Abstract read
In one paragraph

Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Marina Cristina GadêlhaUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0002-1248-321X
Gustavo Cezar Wagner LeandroUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0002-5014-2387
Deisiany Gomes FerreiraUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0001-6601-6046
Amanda de Carvalho DutraUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0002-2372-7275
Rosane Christine HahnUniversidade Federal de Mato Grosso, Faculdade de Ciências Médicas, Cuiabá, Mato Grosso, Brazil.ORCID http://orcid.org/0000-0003-2686-8193
Luciano de AndradeUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0003-2077-1518
Melyssa NegriUniversidade Estadual de Maringá, Centro de Ciências da Saúde, Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0003-2071-8872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracoccidioidomycosis (PCM) is a neglected fungal disease with a rising incidence in Brazil, including increasing hospitalizations in previously non-endemic regions outside the Amazon. This study analyzed the spatiotemporal patterns of acute PCM hospitalizations and their relationship with deforestation. We carried out a retrospective ecological analysis of all PCM-related hospitalizations that were registered in the Brazilian Hospital Information System from 2014 to 2023. Acute and subacute cases were defined using ICD-10 codes (B40.0, B40.7, B40.8, B40.9, B41.0, B41.7, B41.8, and B41.9), whereas chronic forms were excluded. Rates were calculated with census population data and stabilized by Spatial Empirical Bayes smoothing. Space-time cube analysis was applied to detect clusters, which were then compared with deforestation alerts from the DETER-B satellite monitoring system. This study found 4,232 acute PCM hospitalizations, predominantly in men (80%), with a median age of 49 years. Cases were reported in 1,292 municipalities (23%), of which 78% were outside the Amazon. This study also found four significant hotspot clusters, including a newly emergent area in the Cerrado region along the Tocantins-Goias border near Brasilia. Hotspot municipalities showed the largest deforested areas (1,178 km2) when compared to coldspots (24 km2), suggesting a strong spatial association. The spatiotemporal dynamics of acute PCM indicate expansion into deforested areas of the Cerrado, highlighting the role of environmental disruption in shaping disease risk. Mitigating PCM spread in Brazil urgently requires strengthened surveillance and integrated health-environmental policies.

Indexed as

HospitalizationParacoccidioidomycosisAcute DiseaseAdolescentAdultAgedBrazilChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedRetrospective Studies

Identifiers

PMID41221949
PMCPMC12600024

What OpenQuestion holds

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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.