Evidence map›Paper›PMID 35889130›Full record

ArticleMicroorganisms2022

Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon.

Danielle Saraiva Tuma Dos Reis, Mioni Thieli Figueiredo Magalhães de Brito, Ricardo José de Paula Souza Guimarães, Juarez Antônio Simões Quaresma

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Editorial: Global excellence in fungal pathogenesis: Central and South America.Frontiers in cellular and infection microbiology · 2024
    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

4 authors at 2 institutions in 1 country.

Danielle Saraiva Tuma Dos ReisFaculty of Nursing, Federal University of Pará (UFPA), Belém 66075-110, PA, Brazil.
Mioni Thieli Figueiredo Magalhães de BritoFaculty of Pharmacy, Federal University of Pará (UFPA), Belém 66075-110, PA, Brazil.ORCID 0000-0001-8165-8629
Ricardo José de Paula Souza GuimarãesGeoprocessing Laboratory, Evandro Chagas Institute (IEC), Ananindeua 67030-000, PA, Brazil.ORCID 0000-0002-5767-4765
Juarez Antônio Simões QuaresmaJuarez Antônio Simões Quaresma Tropical Medicine Center, Federal University of Pará (UFPA), Belém 66075-110, PA, Brazil.ORCID 0000-0002-6267-9966
Universidade Federal do Pará · BRInstituto Evandro Chagas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs.

Indexed as

cryptococcosisepidemiological profilesspatial analysistime-series studies

Identifiers

PMID35889130
PMCPMC9324227
OpenAlexW4285391842

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.