Evidence map›Paper›PMID 34218833›Full record

ArticleParasitology2022

Analysis of malaria clinical-epidemiological predictors in individuals from Brazilian Amazon.

Paulo Guilherme Souza Lisbôa, Janaina Maria Rodrigues Medeiros, Arthur Vinícius de Souza, Bruno Fernando Barros Dos Santos, Henrique Otávio Coutinho Sanches, Juliane Lúcia Gomes da Rocha, Wender de Jesus Pena Correa Junior, Gabriela Góes Costa, Tania do Socorro Souza Chaves, Ana Maria Revoredo da Silva Ventura and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parasitology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Epidemiological characteristics ofFrontiers in cellular and infection microbiology · 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

11 authors.

Paulo Guilherme Souza LisbôaLaboratório de Ensaios Clínicos em Malária, Instituto Evandro Chagas, Ananindeua, Pará, Brazil.
Janaina Maria Rodrigues MedeirosInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Arthur Vinícius de SouzaInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Bruno Fernando Barros Dos SantosInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Henrique Otávio Coutinho SanchesInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Juliane Lúcia Gomes da RochaInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Wender de Jesus Pena Correa JuniorInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Gabriela Góes CostaInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Pará, Brazil.
Tania do Socorro Souza ChavesLaboratório de Ensaios Clínicos em Malária, Instituto Evandro Chagas, Ananindeua, Pará, Brazil.
Ana Maria Revoredo da Silva VenturaLaboratório de Ensaios Clínicos em Malária, Instituto Evandro Chagas, Ananindeua, Pará, Brazil.ORCID 0000-0002-4737-1533
Rosana Maria Feio LibonatiNúcleo de Medicina Tropical, Universidade Federal do Pará, Belém, Pará, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to determine whether the combination of epidemiological and clinical features can predict malaria. Diagnostic investigation detected 22.3% of individuals with Plasmodium vivax (P. vivax) malaria, with significant predominance of the male gender. The malaria triad (fever, chills and headache) had a more expressive frequency (81.1%) in individuals with positive thick blood than those with negative thick blood smear (65.1%), although there was no statistical significance. Among the variables analysed as predictive for positive thick blood smear, it was observed that personal history of travel to an endemic malaria area and past malaria infection (PMI) were significantly associated with malaria, even in multiple logistic regression. Fever had the higher sensitivity (94.6%) and past malaria history had the greater specificity (68.2%), with accuracy of 23.5% and 67.5%, respectively. In combined analysis, fever with chills had the highest sensitivity (91.9%), but low accuracy (38.5%). High specificity (91.5%) was found in the association of malaria triad, PMI and history of travel to endemic malaria area (which along with anorexia, was higher 94.6%), with good accuracy (80.7%), suggesting that the screening of patients for performing thick blood smear can be based on these data. The epidemiological features and the malaria triad (fever, chills and headache) can be predictors for identification of malaria patients, concurring to precocious diagnosis and immediate treatment of individuals with malaria.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxBrazilHumansMalePlasmodium vivaxTravelClinical−epidemiologicalMalariapredictor factorsthick blood smear

Identifiers

PMID34218833
PMCPMC11010514

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.