Evidence map›Paper›PMID 39960108›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Sarcopenia and Insulin Resistance Collective Effect on Atrial Fibrillation Risk: A Non-Diabetic Elderly Cohort Study.

Weike Liu, Xin Wang, Yuqi Guo, Yumei Gao, Huajing Song, Yanli Yao, Hua Zhang, Zhendong Liu, Juan Wang

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sarcopenia in atrial fibrillation: a prospective study.Turkish journal of medical sciences · 2026
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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

9 authors.

Weike LiuDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xin WangDepartment of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, China.
Yuqi GuoDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
Yumei GaoDepartment of Cardiology, Hekou District People Hospital, Dongying, Shandong, China.
Huajing SongDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
Yanli YaoDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
Hua ZhangDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
Zhendong LiuDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0003-1024-3420
Juan WangDepartment of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, China.

Funding

National Natural Science Foundation of China 81973139Natural Science Foundation of Shandong Province, China ZR2022MH179
6 · The paper itself

Abstract

backgroundAppendicular skeletal muscle mass index (ASMI), a crucial indicator of sarcopenia and estimated glucose disposal rate (eGDR), a surrogate marker of insulin resistance (IR), are associated with the risk of cardiovascular diseases. However, it remains unclear whether the collective effects, including the impact of the temporal progression of ASMI and eGDR, affect atrial fibrillation (AF) risk. This study aims to elucidate the association between the collective effects of ASMI and eGDR and AF risk in the non-diabetic older population.

methodsA total of 8060 non-diabetic older individuals from a community-based cohort study were used to prospectively analyse the association between the collective effects of baseline ASMI and eGDR and AF risk. Among them, 7651 were eligible and used for dual-trajectory analysis of the association between dual trajectory of ASMI and eGDR and AF risk. The temporal development of ASMI and eGDR over time was determined using a dual-trajectory model. Statistical analyses involved restricted cubic splines and Fine-Gray competing risk models, adjusting for potential confounders.

resultsIn the prospective analysis, the hazard ratio (HR) of AF was 1.762 (95% confidence interval [CI]: 1.528-2.032) in the low ASMI group compared to the normal ASMI group in total participants. Restricted cubic splines analysis demonstrated L-shaped associations between AF risk and ASMI and eGDR, with inflection points at 7.23 kg/m

conclusionsThe collective effects of ASMI and eGDR are significantly associated with AF risk in the non-diabetic older population. Collective management of skeletal muscle mass and IR might be a useful and effective management strategy for preventing and controlling AF.

Indexed as

Atrial FibrillationInsulin ResistanceSarcopeniaAgedAged, 80 and overCohort StudiesFemaleHumansMaleMuscle, SkeletalProspective StudiesRisk Factorsatrial fibrillationdual‐trajectory analysisinsulin resistancemuscle mass lossnon‐diabetes

Identifiers

PMID39960108
PMCPMC11831525

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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.