Evidence map›Paper›PMID 40761862›Full record

SynthesisFrontiers in medicine2025

Sarcopenia defined by multidimensional factors and its prognostic role in heart failure: a systematic review and meta-analysis.

Jinmei Lu, Yi Gao, Lingbo Zhou, Xinhui Peng, Haiming Feng, Zaixing Zheng

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. 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. Review
  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

6 authors.

Jinmei LuDepartment of Critical Care Medicine, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China.
Yi GaoDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Lingbo ZhouDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Xinhui PengDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Haiming FengDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Zaixing ZhengDepartment of Cardiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To perform a systematic review and meta-analysis evaluating the impact of sarcopenia-defined by reductions in muscle mass, strength, and/or function-on clinical outcomes in patients with heart failure (HF), thereby informing more effective management strategies. Methods: A comprehensive literature search was conducted through 14 February 2025, using PubMed, Embase, Cochrane Library, and CNKI to identify prospective and retrospective cohort studies involving HF patients diagnosed with sarcopenia based on Asian Working Group for Sarcopenia (AWGS), European Working Group on Sarcopenia in Older People (EWGSOP2), or Ishii criteria. Data extraction was performed using standardized forms, and study quality was assessed using the Newcastle-Ottawa Scale (NOS). Meta-analytical procedures, including heterogeneity assessment and subgroup analyses, were carried out in Stata 18.0 and R 4.4.2. Results: Fifteen studies comprising 5,713 HF patients were included. Pooled analysis demonstrated that sarcopenia significantly increased the risk of adverse clinical outcomes [hazard ratio (HR) = 1.62, 95% confidence interval (CI): 1.35-1.89], including all-cause mortality (HR = 1.89, 95% CI: 1.63-2.15) and major adverse cardiovascular events (HR = 1.37, 95% CI: 1.11-1.64). Subgroup analyses revealed that sarcopenia defined by AWGS criteria and the Ishii score was significantly associated with worse outcomes (HR = 1.63, 95% CI: 1.33-1.94; HR = 1.78, 95% CI: 1.29-2.27, respectively), whereas definitions based on EWGSOP2 did not reach statistical significance (HR = 1.87, 95% CI: 0.70-3.05). Sarcopenia identified through DXA or BIA-based muscle mass assessments was also significantly correlated with adverse outcomes (DXA: HR = 1.53, 95% CI: 1.29-1.78; BIA: HR = 1.85, 95% CI: 1.10-2.61). Statistically significant associations were observed across all remaining subgroups. Conclusion: Sarcopenia, when defined using multidimensional criteria, is significantly associated with poor clinical outcomes in patients with HF. These findings underscore the importance of implementing comprehensive sarcopenia assessments to enhance prognostic evaluation and guide early intervention. Clinically, adopting multidimensional diagnostic approaches can improve risk stratification and optimize the management of HF patients. Systematic review registration: https://inplasy.com/inplasy-2025-3-0023/, identifier INPLASY202530023.

Indexed as

heart failuremeta-analysismulti-dimensional factorprognosissarcopenia

Identifiers

PMID40761862
PMCPMC12319046

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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.