Evidence map›Paper›PMID 41298938›Full record

SynthesisMycopathologia2025

Paracoccidioidomycosis in Childhood and Adolescence: Clinical-Epidemiological Review of South American Cases (1970-2023).

Nathan Pereira Lopes de Siqueira, Gabrielle da Silva Pinto, Camila Yumi Ueda, Camila Cardoso Marquez, Vanessa Dáuria Xavier Pereira, Beatriz Barros de Moura, Fernanda Ferreira Dias, Henrique Soares de Lima, Armando Guevara, Ferry Hagen and 4 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Mycopathologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Nathan Pereira Lopes de SiqueiraMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.
Gabrielle da Silva PintoMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.ORCID http://orcid.org/0000-0002-6091-1565
Camila Yumi UedaMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.
Camila Cardoso MarquezMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.
Vanessa Dáuria Xavier PereiraMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.ORCID http://orcid.org/0000-0003-0494-9478
Beatriz Barros de MouraMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.
Fernanda Ferreira DiasMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.
Henrique Soares de LimaMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.ORCID http://orcid.org/0000-0001-6929-6004
Armando GuevaraMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil.ORCID http://orcid.org/0000-0002-7740-0577
Ferry HagenWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-5622-1916
Zoilo Pires de CamargoLaboratory of Emerging Fungal Pathogens, Department of Microbiology, Immunology, and Parasitology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.ORCID http://orcid.org/0000-0002-2971-7983
Anderson Messias RodriguesLaboratory of Emerging Fungal Pathogens, Department of Microbiology, Immunology, and Parasitology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.ORCID http://orcid.org/0000-0003-0891-4563
Andreia Ferreira NeryDepartment of Infectiology, Institute of Tropical Medicine (DINFEC-IMT), Center for Health Sciences/Federal University of Rio Grande do Norte (CCS/UFRN), Natal, Brazil.ORCID http://orcid.org/0000-0002-9755-3335
Rosane Christine HahnMycology/Research Laboratory, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Brazil. rosanechahn@gmail.com.ORCID http://orcid.org/0000-0003-2686-8193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paracoccidioidomycosis (PCM) is a severe systemic mycosis classified as a neglected disease, predominantly found in South America, with Brazil reporting the highest number of cases. In children and adolescents, PCM primarily manifests as an acute/subacute (juvenile) form. This systematic review focused on PCM cases in individuals under 15 years of age, analyzing 163 reports published between 1970 and 2023. The literature search was conducted across LILACS, SciELO, and PubMed databases using DeCS and MeSH descriptors in Portuguese, English, and Spanish.Most cases (70%) occurred in Brazil, followed by Argentina, Peru, Venezuela, and Colombia. The mean age was 8.4 years, with a male predominance (63%) and a median diagnostic delay of six months, reflecting underreporting and late disease recognition. The predominant clinical presentation was the disseminated form (90%), with generalized lymphadenopathy as the most frequent manifestation. Common symptoms included fever (66%), weight loss (54%), hepatomegaly (30%), and splenomegaly (25%). Severe complications such as lymph node fistulization (27%) and bone involvement (16%) were associated with poorer prognosis.Among the cases, 53% were classified as severe, frequently exhibiting marked eosinophilia (> 25,000 cells/mm

Indexed as

ParacoccidioidomycosisAdolescentAntifungal AgentsChildChild, PreschoolFemaleHumansInfantMaleNeglected DiseasesSouth AmericaAntifungal AgentsChildrenClinicalEpidemiologyParacoccidioidomycosisPediatricsSouth America

Identifiers

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.