Evidence map›Paper›PMID 41243888›Full record

SynthesisAnatolian journal of cardiology2025

Sarcopenic Obesity and Cardiovascular Disease Risk and Mortality: A Systematic Review and Meta-Analysis.

Zhengsheng Zhang, Xiaolin Zeng

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Anatolian journal of cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Review
  5. 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

2 authors.

Zhengsheng ZhangDepartment of Cardiology, The People's Hospital of Pingshan (Pingshan Hospital, Southern Medical University), Shenzhen, China.
Xiaolin ZengDepartment of Cardiology, Shenzhen University General Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile both sarcopenia and obesity independently elevate cardiovascular disease (CVD) risk, their combined effects, known as sarcopenic obesity (SO), remain incompletely understood. This systematic review and meta-analysis aimed to evaluate the association between SO and the risk of CVD and CVD-related mortality.

methodsA comprehensive search of scientific databases was conducted from inception to May 2025, including observational studies assessing SO in relation to incident CVD or CVD mortality. Pooled odds ratios (ORs) with 95% CIs were calculated using random-effects models. Subgroup analyses examined variations by age, sex, geography, study design, and CVD subtypes, with P-values for interaction being assessed.

resultsSixteen studies involving 578 408 participants were included. Sarcopenic obesity was significantly associated with a 95% higher CVD risk (OR = 1.95, P < .001, 95% CI: 1.62-2.36) and a 64% increased CVD mortality risk (OR = 1.64, P = .007, 95% CI: 1.15-2.34). Subgroup analyses revealed stronger associations in males and diabetic subgroups. The highest risks were observed for myocardial infarction (OR = 4.07, P = .015, 95% CI: 1.31-12.63) and atrial fibrillation (OR = 2.93, P < .001, 95% CI: 2.23-3.86). Significant interactions were detected by sex (P = .032) and cardiovascular outcome type (P = .001), but not by age, region, or study design.

conclusionSarcopenic obesity is a high-risk phenotype associated with significantly elevated CVD incidence and mortality, with effect modification by sex and outcome type. These findings highlight the need for standardized diagnostic criteria and targeted interventions to mitigate cardiovascular risk in this growing population.

Indexed as

Cardiovascular DiseasesObesitySarcopeniaFemaleHeart Disease Risk FactorsHumansMaleRisk Factors

Identifiers

PMID41243888
PMCPMC12908878

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.