Evidence map›Paper›PMID 39031905›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Long-term insulin resistance is associated with frailty, frailty progression, and cardiovascular disease.

Zezhi Ke, Han Wen, Rihua Huang, Xinghao Xu, Kevin Yang, Wenbin Liu, Suisui Wang, Xu Zhang, Ye Guo, Xinxue Liao and 4 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Pooled it
  2. Relative impact of multidomain lifestyle interventions on deficit accumulation frailty over 24 months in the U.S. POINTER trial.The journals of gerontology. Series A, Biological sciences and 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

14 authors.

Zezhi KeSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Han WenDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Rihua HuangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Xinghao XuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Kevin YangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Wenbin LiuSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Suisui WangSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Xu ZhangSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Ye GuoDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Xinxue LiaoDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Xiaodong ZhuangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China.
Jie ZhaoSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.
Litao PanDepartment of Acupuncture and Massage, Shenzhen Second People's Hospital, Shenzhen, P. R. China.
Lizhen LiaoSchool of Health Science, Guangdong Pharmaceutical University, Guangzhou, P. R. China.ORCID 0000-0002-2806-3535

Funding

Shenzhen Science and Technology Program JCYJ20230807115308018
6 · The paper itself

Abstract

backgroundInsulin resistance and diabetes are associated with an increased risk of frailty, and frailty is associated with cardiovascular disease and premature mortality. We aim to investigate the impact of long-term insulin resistance trajectories on future frailty and cardiovascular risk among young adults.

methodsIn total, 3168 participants with a 30-year follow-up period. The baseline period covered the first 15 years as the exposure period. Insulin resistance was determined using the homeostasis model assessment for insulin resistance (HOMA-IR), and three trajectories (low, moderate, and high) were constructed. The subsequent 15 years constituted the event accrual period. Frailty was assessed using a deficit accumulation mode, and cardiovascular outcomes were obtained from the 15-year event accrual period.

resultsThe mean age of all 3168 participants was 41.0 (37.0-43.0) years, with 1750 (55.2%) being women. Participants in the high level of insulin resistance trajectory had an increased prevalence of frailty (OR: 1.55, 95% CI: 1.05-2.30, P = 0.028). Although no statistically significant associations were observed after full adjustment, single-factor analysis indicated association between the moderate and high trajectories and frailty progression. Additionally, participants with high level of insulin resistance trajectory were associated with an increased risk of cardiovascular disease, coronary heart disease, and stroke. A notable correlation between HOMA-IR trajectory and cardiovascular diseases was still discernible within the subgroup where the frailty index ≥0.12 (HR: 2.12, 95% CI: 1.17-3.83, P = 0.013) (P for interaction >0.05).

conclusionsLong-term high level of insulin resistance is associated with high prevalence of frailty, and an increased risk of cardiovascular events. Emphasizing the importance of early prevention and intervention for abnormal glucose metabolism in young adults to prevent frailty and cardiovascular disease.

Indexed as

Cardiovascular DiseasesFrailtyInsulin ResistanceAdultDisease ProgressionFemaleHumansMaleRisk FactorsCardiovascular diseaseFrailtyHOMA‐IR trajectoryInsulin resistance

Identifiers

PMID39031905
PMCPMC11294012

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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.