Observational studyCardiovascular diabetology2018
Sarcopenic obesity assessed using dual energy X-ray absorptiometry (DXA) can predict cardiovascular disease in patients with type 2 diabetes: a retrospective observational study.
Observational study in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 116 citations in OpenAlex.
- Sarcopenic obesity and risk of cardio-cerebrovascular disease and mortality: a systematic review and meta-analysis.International journal of obesity (2005) · 2025Pooled it
- Sarcopenic Obesity and Cardiovascular Disease Risk and Mortality: A Systematic Review and Meta-Analysis.Anatolian journal of cardiology · 2025Pooled it
- Interrelationship Between Sarcopenia, Frailty and Cardiovascular Disease-The Crucial Role of Obesity in Hypothesis Generation-A Narrative Review.Journal of personalized medicine · 2026Review
- Increased Risk of Myocardial Infarction and Stroke Among Multiracial Asian and Pacific Islander Adults With Diabetes: Evidence From Electronic Health Records.Journal of the American Heart Association · 2026Article
- Systemic inflammatory indices SIRI, AISI, and PWR are associated with sarcopenic obesity in middle-aged and older chinese adults: a cross-sectional study.Nutrition & metabolism · 2026Article
- Circulating Biomarkers as a Window into the Relationship between Sarcopenia and Diabetes: Implications for Effective Management.Current diabetes reviews · 2026Review
- Obesity and low lean mass are associated with dysregulated IGFBP-3, inflammatory biomarkers, and physical impairment in older adult women with frailty.Frontiers in aging · 2026Article
- Sarcopenia in type 2 diabetes mellitus: an imaging review.Frontiers in medicine · 2026Review
- Association of Insulin Resistance, Sarcopenia, and Risk of Cardiovascular Disease: Findings From the China Health and Retirement Longitudinal Study.JMIR aging · 2025Article
- Can Clinical Biomarkers Guide Optimal Therapeutic Selection in Type 2 Diabetes Mellitus? A Scoping Review.Current atherosclerosis reports · 2025Article
- Sarcopenic Obesity in Metabolic and Bariatric Surgery: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Article
- Sarcopenia as a predictor of negative health outcomes in patients with type 2 diabetes mellitus: a systematic review and meta-analysis.Diabetology & metabolic syndrome · 2025Review
- Self-reported autonomic dysfunction could be a predictive marker for sarcopenia in Parkinson's disease.Geriatrics & gerontology international · 2025Article
- Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.Journal of medical Internet research · 2025Article
- Association between skeletal muscle mass and the prognosis of patients undergoing percutaneous coronary intervention: a retrospective study.BMC cardiovascular disorders · 2025Article
- ALM adjusted by BMI or weight predicts adverse health outcomes in middle-aged and elderly patients with type 2 diabetes.Scientific reports · 2025Article
- Sarcopenia and Cardiovascular Diseases in Individuals With Diabetes or Prediabetes.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Correlations Between Body Composition and Aerobic Fitness in Elite Female Youth Water Polo Players.Sports (Basel, Switzerland) · 2025Article
- Association between appendicular skeletal muscle mass and myocardial glucose uptake measured byESC heart failure · 2025Article
- Individualized treatment of diabetes mellitus in older adults.Geriatrics & gerontology international · 2024Review
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSarcopenic obesity, defined as reduced skeletal muscle mass and power with increased adiposity, was reported to be associated with cardiovascular disease risks in previous cross-sectional studies. Whole body dual-energy X-ray absorptiometry (DXA) can simultaneously evaluate both fat and muscle mass, therefore, whole body DXA may be suitable for the diagnosis of sarcopenic obesity. However, little is known regarding whether sarcopenic obesity determined using whole body DXA could predict incident cardiovascular disease (CVD). The aim of this study was to investigate the impact of sarcopenic obesity on incident CVD in patients with type 2 diabetes.
methodsA total of 716 Japanese patients (mean age 65 ± 13 years; 47.0% female) were enrolled. Android fat mass (kg), gynoid fat mass (kg), and skeletal muscle index (SMI) calculated as appendicular non-fat mass (kg) divided by height squared (m
resultsOver a median follow up of 2.6 years (IQR 2.1-3.2 years), 53 patients reached the endpoint. Sarcopenic obesity was significantly associated with incident CVD even after adjustment for the confounding variables, when using A/G ratio [hazard ratio (HR) 2.63, 95% CI 1.10-6.28, p = 0.030] and android fat mass (HR 2.57, 95% CI 1.01-6.54, p = 0.048) to define obesity, but not %BF (HR 1.67, 95% CI 0.69-4.02, p = 0.252), and BMI (HR 1.55, 95% CI 0.44-5.49, p = 0.496).
conclusionsThe present data suggest that the whole body DXA is valuable in the diagnosis of sarcopenic obesity (high A/G ratio or android fat mass with low SMI) to determine the risk of CVD events in patients with type 2 diabetes. Meanwhile, sarcopenic obesity classified with low SMI, and high %BF or BMI was not associated with incident CVD.
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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.