Evidence map›Paper›PMID 40471566›Full record

ArticleArquivos brasileiros de cardiologia2025

Temporal Trends of Hospital Admissions Due to Heart Failure in Brazil.

José Marcos Girardi, Isadora Araújo Girardi, Ana Clara Silva Nascimento, Daniel Monteiro de Lauro Silva, Luisa Venture Gibaile Soares, Sarah Alessandrini Lauriano Dias, Sarah Quick Lourenço de Lima, Flávia Araújo Girardi

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

José Marcos GirardiSociedade Brasileira de Cardiologia - Cardiologia, Juiz de Fora, MG - Brasil.ORCID 0000-0002-3973-842X
Isadora Araújo GirardiFaculdade de Ciências Médicas e da Saúde de Juiz de Fora, Juiz de Fora, MG - Brasil.
Ana Clara Silva NascimentoFaculdade de Ciências Médicas e da Saúde de Juiz de Fora, Juiz de Fora, MG - Brasil.
Daniel Monteiro de Lauro SilvaUniversidad Maimónides - Facultad de Medicina, Buenos Aires - Argentina.
Luisa Venture Gibaile SoaresFaculdade de Ciências Médicas e da Saúde de Juiz de Fora, Juiz de Fora, MG - Brasil.
Sarah Alessandrini Lauriano DiasFaculdade de Ciências Médicas e da Saúde de Juiz de Fora, Juiz de Fora, MG - Brasil.
Sarah Quick Lourenço de LimaUniversidade Federal de Juiz de Fora, Juiz de Fora, MG - Brasil.
Flávia Araújo GirardiUniversidade Federal de Juiz de Fora, Juiz de Fora, MG - Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure is a global pandemic that causes a significant reduction in quality of life, with an impact on hospital expenses. It is important to know the temporal trends of hospitalizations and mortality in order to outline coping strategies.

objectiveThe objective of this study was to describe the temporal trends of hospitalizations due to heart failure and mortality during hospitalizations between 2000 and 2021 in Brazil.

methodsWe conducted a study on temporal trends in the rates of hospitalization and mortality during hospitalization, using data from the Department of Information Technology of the Brazilian Unified Health System, by means of joinpoint regression. We calculated the annual percentage change of the rates with respective 95% confidence intervals and alpha significance level of 0.05.

resultsWe analyzed 2,851,437 hospitalizations in men and 2,749,424 hospitalizations in women between 2000 and 2021 in Brazil. Regarding hospitalization rates, there was an annual percentage decrease of 6.7% to 8.1% in men and a decrease of 7.5% to 8.3% in women. With respect to mortality rates, there was an annual percentage increase of 1.8% to 3.6% in men and an increase of 3.1% to 3.5% in women.

conclusionWe observed a decrease in the rates of hospitalization due to heart failure and an increase in the mortality rates in all age ranges assessed, in both sexes, between 2000 and 2021 in Brazil. These findings may reflect better disease control and hospitalization only for more severe cases, but we emphasize the need for continued management of risk factors for the disease.

Indexed as

Heart FailureHospitalizationAdultAgedAged, 80 and overAge DistributionBrazilFemaleHospital MortalityHumansMaleMiddle AgedSex DistributionSex FactorsTime Factors

Identifiers

PMID40471566
PMCPMC12133065

What Socratic holds

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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 Socratic graph.