Observational studyNutrients2019
The Role of Muscle Decline in Type 2 Diabetes Development: A 5-Year Prospective Observational Cohort Study.
Observational study in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03792685 (Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled 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.
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.
Analysis of Genetic Aspects of Metabolic Response on Diet With Different Content of Carbohydrate and Fat. Searching for Genetic Markers for Individualized Therapy in Patients With Obesity and Type 2 Diabetes
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Unraveling the role of muscle mass and strength in predicting type 2 diabetes risk: a systematic review.Acta diabetologica · 2025Pooled it
- HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022Pooled it
- Effects of 12-Week Combined Strength and Endurance Circuit Training Program on Insulin Sensitivity and Retinol-Binding Protein 4 in Women with Insulin-Resistance and Overweight or Mild Obesity: A Randomized Controlled Trial.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Trial
- Evaluation of Transcriptomic Regulations behind Metabolic Syndrome in Obese and Lean Subjects.International journal of molecular sciences · 2020Trial
- Skeletal Muscle Mass Loss and Physical Function in Young to Middle-Aged Adult Patients With Diabetes: Cross-Sectional Observational Study.Interactive journal of medical research · 2024Article
- Mechanism of traditional Chinese medicine in elderly diabetes mellitus and a systematic review of its clinical application.Frontiers in pharmacology · 2024Review
- Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program.Diabetes & metabolism journal · 2023Article
- Low Muscle Mass Is Associated with Poorer Glycemic Control and Higher Oxidative Stress in Older Patients with Type 2 Diabetes.Nutrients · 2023Article
- The circadian rhythm: an influential soundtrack in the diabetes story.Frontiers in endocrinology · 2023Review
- Different Protein Sources Enhance 18FDG-PET/MR Uptake of Brown Adipocytes in Male Subjects.Nutrients · 2022Article
- PET/MRI-evaluated brown adipose tissue activity may be related to dietary MUFA and omega-6 fatty acids intake.Scientific reports · 2022Article
- Optimization of a GC-MS method for the profiling of microbiota-dependent metabolites in blood samples: An application to type 2 diabetes and prediabetes.Frontiers in molecular biosciences · 2022Article
- Dietary Fiber Intake May Influence the Impact ofAntioxidants (Basel, Switzerland) · 2021Article
- Article
- Sarcopenia and Appendicular Muscle Mass as Predictors of Impaired Fasting Glucose/Type 2 Diabetes in Elderly Women.Nutrients · 2021Article
- Review
- Associations of changes in fat free mass with risk for type 2 diabetes: Hispanic Community Health Study/Study of Latinos.Diabetes research and clinical practice · 2021Article
- The Impact ofNutrients · 2020Article
- Mechanisms of the Regulation and Dysregulation of Glucagon Secretion.Oxidative medicine and cellular longevity · 2020Review
- Exercise-Induced Mitohormesis for the Maintenance of Skeletal Muscle and Healthspan Extension.Sports (Basel, Switzerland) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The major risk factors of T2DM (type 2 diabetes mellitus) development are still under investigation. We evaluate the possible risk factors associated with type 2 diabetes (T2DM) in adult subjects during a five-year prospective cohort study. We recruited 1160 subjects who underwent oral glucose tolerance test, anthropometric measurements, and body composition and body fat distribution analysis at a baseline visit and again at follow-up after approximately five years. The conclusions of this study are based on observation of 219 subjects who attended both the first and follow-up visits. The fasting serum insulin was measured, and HOMA-IR (homeostatic model assessment of insulin resistance) was calculated. During the follow-up period, T2DM was diagnosed in 7.4% of participants, impaired fasting glucose in 37.7%, and impaired glucose tolerance in 9.3%. Logistic regression models, adjusted for age, were constructed. The changes in glucose concentration, visceral fat tissue content, insulin resistance, and %loss of muscle mass were chosen as the potential predictors for T2DM development. A set of independent variables was extracted. The constructed feature set comprised change in HOMA-IR (OR (odds ratio) = 1.01,
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Registered trials
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.