Evidence map›Paper›PMID 41835364›Full record

ArticleJournal of geriatric cardiology : JGC2026

Impact of heart failure on skeletal muscle: an overview.

Lucian Batista de Oliveira, Marina Baltar de Albuquerque, Amalia Pinheiro Jácome Bezerra Cavalcanti, Fábio Moura, Francisco Bandeira

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2026. 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. 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

5 authors.

Lucian Batista de OliveiraDivision of Endocrinology and Diabetes, Agamenon Magalhães Hospital, Faculty of Medical Sciences, University of Pernambuco, Recife, Pernambuco, Brazil.
Marina Baltar de AlbuquerqueDivision of Endocrinology and Diabetes, Agamenon Magalhães Hospital, Faculty of Medical Sciences, University of Pernambuco, Recife, Pernambuco, Brazil.
Amalia Pinheiro Jácome Bezerra CavalcantiDivision of Endocrinology and Diabetes, Agamenon Magalhães Hospital, Faculty of Medical Sciences, University of Pernambuco, Recife, Pernambuco, Brazil.
Fábio MouraEndocrinology and Metabolism Department, University of Pernambuco, Recife, Pernambuco, Brazil.
Francisco BandeiraDivision of Endocrinology and Diabetes, Agamenon Magalhães Hospital, Faculty of Medical Sciences, University of Pernambuco, Recife, Pernambuco, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a complex clinical syndrome that promotes high morbidity and multi-systemic damage. Skeletal muscle can be directly affected by HF through a loss of physical capacity and various inflammatory, hormonal, and metabolic mechanisms observed in this cardiac condition, which collectively contribute to a high prevalence of sarcopenia in HF patients. Therefore, the aim of this review was to compile the main recent clinical and epidemiological data on muscle health in HF patients. Nine studies were selected from systematic reviews and clinical trials, which demonstrated a high prevalence of sarcopenia in patients with HF, particularly in males, hospitalized patients, the elderly, and those with HF with reduced ejection fraction. Oxidative stress markers and higher levels of natriuretic peptides were also observed in HF patients who exhibited damaged muscle parameters. Furthermore, the overall deterioration of prognosis in HF was associated with criteria defining sarcopenia, such as low muscle strength and lean mass loss. These findings reinforce the importance of evaluating skeletal muscle in HF patients, which can provide improvements in morbidity and functionality.

Identifiers

PMID41835364
PMCPMC12983060

What OpenQuestion holds

Textmetadata
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.