Evidence map›Paper›PMID 37011891›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Pneumonia in Children under 5 Years: Temporal Trends and Spatial Patterns of Hospitalizations in Brazil.

Amanda de Conceição Leão Mendes, Talita Araujo de Souza, Arthur de Almeida Medeiros, Isabelle Ribeiro Barbosa

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. 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

4 authors.

Amanda de Conceição Leão MendesGraduate Program in Collective Health, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Talita Araujo de SouzaGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Arthur de Almeida MedeirosGraduate Program in Collective Health, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Isabelle Ribeiro BarbosaGraduate Program in Collective Health, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify temporal and spatial patterns in the distribution of hospitalization rates for pneumonia in children under 5 years in Brazil. An ecological study was developed using data from the Unified Health System of hospitalizations for pneumonia in children under 5 years in Brazil from 2000 to 2019. Hospitalization rates per 1,000 children were calculated and Joinpoint Regression analyzed the temporal trends. Different spatial analysis techniques were performed. Annual rates of 25 hospitalizations per 1,000 children were observed in 2000 and of 13.83 per 1,000 children in 2019, with a significant downward trend for the country (annual percentage change = -3.4%; 95% confidence interval: -3.8 to -3.0) and for the regions. There was weak spatial autocorrelation; however, there were regions with high rates of hospitalization in the south region and clusters of low rates in the northeast and southeast. Clusters of areas with high hospitalization rates were observed in areas of favorable socioeconomic conditions and provision of health services in the interior of southern Brazil. There is a decreasing trend in hospitalizations for pneumonia in general; however, there are clusters of high rates in the south of Brazil.

Indexed as

HospitalizationPneumoniaBrazilChildChild, PreschoolHumansSpatial Analysis

Identifiers

PMID37011891
PMCPMC10160880

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.