Evidence map›Paper›PMID 40726335›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Dual Roles of HbA1c Variability and Body Composition for Cardiovascular Risk: A Cohort Study of 8224 Adults With Type 2 Diabetes Mellitus.

Sunyoung Kim, Jiyoung Hwang, Dong Keon Yon, Hyunji Sang, Selin Woo, Ho Geol Woo, Hyunjung Lim, Jungha Park, Fei-Yuan Hsiao, Liang-Kung Chen and 1 more

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  3. Article
  4. 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

11 authors.

Sunyoung KimDepartment of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiyoung HwangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyunji SangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Ho Geol WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyunjung LimDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, South Korea.
Jungha ParkDepartment of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Fei-Yuan HsiaoGraduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Liang-Kung ChenCenter for Healthy Longevity and Aging Sciences, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-0119-5818

Funding

Korean Society for the Study of Obesity KSSO202406National Institute of Health of Korea 2022-ER1102-02National Research Foundation (NRF) RS-2023-00262002
6 · The paper itself

Abstract

backgroundGlycaemic variability and body composition are emerging predictors of cardiovascular disease (CVD) in patients with Type 2 diabetes mellitus (T2DM); however, their combined impact remains unclear. We investigated the association among HbA1c variability, body composition parameters and cardiovascular outcomes in adults with T2DM.

methodsThis retrospective cohort study analysed electronic health records from a university hospital (2011-2020), including 8224 adults (mean age 58.3 years, 50.1% women) with T2DM and no history of CVD. HbA1c variability score (HVS) was defined as the percentage of successive measurements differing by ≥ 0.5% (5.5 mmol/mol). Body composition was assessed by bioimpedance analysis. The primary outcome was incident CVD (ischemic heart disease, heart failure, atrial fibrillation, stroke, myocardial infarction).

resultsDuring median follow-up of 4.0 years, patients with high HVS (third tertile) showed significantly increased CVD risk compared to low HVS (first tertile) (adjusted hazard ratio [aHR] 1.70 [95% CI 1.13-2.40]; p < 0.010). HbA1c variability demonstrated superior cardiovascular risk prediction over fasting and postprandial glucose variability. Individuals with high HVS had significantly higher systolic blood pressure (122.72 ± 14.96 vs. 120.53 ± 14.52 mmHg, p = 0.017), HbA1c (7.72% ± 1.75% vs. 7.02% ± 1.09%, p < 0.001) and lower skeletal muscle mass (24.60 ± 5.73 vs. 25.85 ± 7.84 kg, p < 0.001). Higher appendicular skeletal muscle mass was protective against CVD (aHR 0.75 [95% CI 0.63-0.88]), while increased total fat percentage elevated CVD risk (aHR 1.10 [95% CI 1.03-1.20]). HVS correlated positively with changes in total fat percentage (β = 0.439, p < 0.001) and negatively with changes in relative appendicular skeletal muscle mass (β = -0.258, p < 0.001). In multivariate analysis, significant contributors to increased CVD risk included high HVS (aHR 1.65, p = 0.011), elevated average HbA1c (aHR 1.09, p = 0.016) and age over 65 years (aHR 1.61, p = 0.035).

conclusionsHbA1c variability and body composition independently predicted cardiovascular outcomes in patients with T2DM. Higher HbA1c variability increased CVD risk by 70%, while higher appendicular muscle mass reduced risk by 25%, and higher total fat percentage increased risk by 10%. Incorporating these parameters into risk stratification models could enhance cardiovascular risk prediction and guide preventive strategies for diabetes management.

Indexed as

Body CompositionCardiovascular DiseasesDiabetes Mellitus, Type 2Glycated HemoglobinAdultAgedCohort StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRetrospective StudiesRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, humanbody compositioncardiovascular diseasediabetes mellitusHbA1c variabilityskeletal muscle mass

Identifiers

PMID40726335
PMCPMC12304735

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.