ArticleBioMed research international2021
A Prediction Model Based on Noninvasive Indicators to Predict the 8-Year Incidence of Type 2 Diabetes in Patients with Nonalcoholic Fatty Liver Disease: A Population-Based Retrospective Cohort Study.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study.Cardiovascular diabetology · 2022Pooled it
- A community‑based study of platelet‑to‑white blood cell ratio and new‑onset type 2 diabetes in older adults.BMC endocrine disorders · 2026Article
- Association between non-traditional lipid-inflammatory parameters and incident diabetes: a national prospective cohort study.BMC endocrine disorders · 2026Article
- Mean arterial pressure is not associated with type 2 diabetes mellitus in Japan: a secondary retrospective analysis.BMC endocrine disorders · 2026Article
- Age and diabetic complications in type 2 diabetes: the role of disease duration and stage-dependent effects.Frontiers in endocrinology · 2026Article
- A Nomogram Prediction Model and Validation of Hypoglycemia Risk in Patients With Decompensated Cirrhosis and Type 2 Diabetes.Journal of diabetes research · 2026Article
- Impact of phytosterol supplementation on metabolic syndrome factors: a systematic review of randomized controlled trials.Diabetology & metabolic syndrome · 2025Review
- Development and validation a nomogram to predict long-term mortality risks of PRISm and mild-to-moderate COPD based on NHANES 2007-2012.Scientific reports · 2025Article
- Association of estimated small dense low-density lipoprotein cholesterol with diabetes mellitus: a large-scale multicenter retrospective cohort study.BMC endocrine disorders · 2025Article
- Risk factor analysis and predictive model construction of lean MAFLD: a cross-sectional study of a health check-up population in China.European journal of medical research · 2025Review
- Novel Model Predicts Type 2 Diabetes Mellitus Patients Complicated With Metabolic Syndrome Using Retrospective Dataset From First Affiliated Hospital of Shenzhen University, China.International journal of endocrinology · 2025Article
- Screening and evaluation of diabetic retinopathyWorld journal of diabetes · 2024Article
- Nonlinear association between remnant cholesterol and reversion from impaired fasting glucose to normoglycemia: a multicenter cohort study.Lipids in health and disease · 2024Article
- Baseline and change in serum lipid and uric acid level over time and incident of nonalcoholic fatty liver disease (NAFLD) in Chinese adults.Scientific reports · 2024Article
- Association of white blood cell count to mean platelet volume ratio with type 2 diabetic peripheral neuropathy in a Chinese population: a cross-sectional study.BMC endocrine disorders · 2024Article
- Trends and future predictions of chronic kidney disease due to diabetes mellitus type 2 attributable to dietary risks: insights based on GBD 2021 data.Frontiers in nutrition · 2024Article
- A mendelian randomisation study of the causal effect of exercise intensity on the development of type 2 diabetes.Frontiers in physiology · 2024Article
- The potential of the serum uric acid to high-density lipoprotein cholesterol ratio as a predictive biomarker of diabetes risk: a study based on NHANES 2005-2018.Frontiers in endocrinology · 2024Article
- Development and application of a novel model to predict the risk of non-alcoholic fatty liver disease among lean pre-diabetics with normal blood lipid levels.Lipids in health and disease · 2022Article
- Establishment and validation of a nomogram that predicts the risk of type 2 diabetes in obese patients with non-alcoholic fatty liver disease: a longitudinal observational study.American journal of translational research · 2022Article
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10 authors.
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Abstract
backgroundThe prevention of type 2 diabetes (T2D) and its associated complications has become a major priority of global public health. In addition, there is growing evidence that nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of diabetes. Therefore, the purpose of this study was to develop and validate a nomogram based on independent predictors to better assess the 8-year risk of T2D in Japanese patients with NAFLD.
methodsThis is a historical cohort study from a collection of databases that included 2741 Japanese participants with NAFLD without T2D at baseline. All participants were randomized to a training cohort (
resultsWe developed a simple nomogram that predicts the risk of T2D for Japanese patients with NAFLD by using the parameters of smoking status, waist circumference, hemoglobin A1c, and fasting blood glucose. For the prediction model, the C-index of training cohort and validation cohort was 0.839 (95% confidence interval (CI), 0.804-0.874) and 0.822 (95% CI, 0.777-0.868), respectively. The pooled area under the ROC of 8-year T2D risk in the training cohort and validation cohort was 0.811 and 0.805, respectively. The calibration curve indicated a good agreement between the probability predicted by the nomogram and the actual probability. The decision curve analysis demonstrated that the nomogram was clinically useful.
conclusionsWe developed and validated a nomogram for the 8-year risk of incident T2D among Japanese patients with NAFLD. Our nomogram can effectively predict the 8-year incidence of T2D in Japanese patients with NAFLD and helps to identify people at high risk of T2D early, thus contributing to effective prevention programs for T2D.
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