Evidence map›Paper›PMID 34495255›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2021

Cryptococcosis by Cryptococcus neoformans/Cryptococcus gattii Species Complexes in non-HIV-Infected Patients in Southeastern Brazil.

Erika Nascimento, Patrícia Helena Grizante Barião, Marcia Regina von Zeska Kress, Fernando Crivelenti Vilar, Rodrigo de Carvalho Santana, Gilberto Gambero Gaspar, Roberto Martinez

Open access · diamondAbstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 36 citations in OpenAlex.

  1. Characteristics and Distribution of Fungal Meningitis: A Systematic Review.Infectious diseases & clinical microbiology · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Primary Cutaneous Cryptococcosis Caused byTropical medicine and infectious disease · 2022
    Article
  8. Article
  9. Article
  10. Phytochemical Analysis and Antifungal Potentiating Activity of Extracts from Loquat (Advances in pharmacological and pharmaceutical sciences · 2022
    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 at 2 institutions in 1 country.

Erika NascimentoUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0002-4141-7414
Patrícia Helena Grizante BariãoUniversidade de São Paulo, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0003-1335-3975
Marcia Regina von Zeska KressUniversidade de São Paulo, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0003-1239-7722
Fernando Crivelenti VilarUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0001-8232-5375
Rodrigo de Carvalho SantanaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0002-5887-8663
Gilberto Gambero GasparUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0002-6804-454X
Roberto MartinezUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0001-6906-7981
Universidade de Ribeirão Preto · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe clinical manifestations of cryptococcosis are usually associated with the infecting agents Cryptococcus neoformans (CN) and C. gattii (CG) species complexes and the host. In this study, non-HIV-infected patients, at a university hospital in southeastern Brazil, had epidemiological and clinical data associated with cryptococcal disease and isolated Cryptococcus species: CN - 24 patients and CG - 12 patients.

methodsThe comparison was comprised of demographic data, predisposing factors, clinical and laboratory manifestations, and outcomes of cryptococcosis patients treated between 2000 and 2016. Immunocompetent and immunosuppressed patients were also compared, irrespective of the infecting species. Cryptococcus spp. were genotyped by PCR-RFLP analysis of the URA5 gene.

resultsInfections by the CN species complex (100% VNI genotype) were associated with drug immunosuppression and fungemia, and patients infected with the CG species complex (83% VG II and 17% VGI genotypes) had more evident environmental exposure and higher humoral response. CN and CG affected patients with or without comorbidities.

conclusionsDiabetes mellitus, other chronic non-infectious diseases, and alcoholism were likely predisposing factors for infection by both CN and CG species. Immunocompetent patients, independent of the infecting Cryptococcus species complexes, showed a higher occurrence of meningitis and a trend toward less fungal dissemination and longer survival than immunosuppressed hosts.

Indexed as

CryptococcosisCryptococcus gattiiCryptococcus neoformansBrazilGenotypeHumansPolymorphism, Restriction Fragment Length

Identifiers

PMID34495255
PMCPMC8437442
OpenAlexW3197016510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.