ArticleAmerican journal of translational research2022
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.
Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global epidemiology of type 2 diabetes in patients with NAFLD or MAFLD: a systematic review and meta-analysis.BMC medicine · 2024Pooled it
- Nonalcoholic Fatty Liver Disease as a Risk Marker for Incident Type 2 Diabetes Mellitus: A Systematic Review.Cureus · 2026Review
- 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
- A Nomogram Prediction Model and Validation of Hypoglycemia Risk in Patients With Decompensated Cirrhosis and Type 2 Diabetes.Journal of diabetes research · 2026Article
- Longitudinal correlation between cumulative remnant cholesterol inflammatory index and incident diabetes.Diabetology & metabolic syndrome · 2025Article
- Impact of phytosterol supplementation on metabolic syndrome factors: a systematic review of randomized controlled trials.Diabetology & metabolic syndrome · 2025Review
- A cross-sectional analysis of remnant cholesterol-diabetes association in US adults.Scientific reports · 2025Article
- Association between circadian syndrome and MASLD risk: evidence from a large cross-sectional study.BMC gastroenterology · 2025Article
- Application of the C-reactive protein-triglyceride glucose index in predicting the risk of new-onset diabetes in the general population aged 45 years and older: a national prospective cohort study.BMC endocrine disorders · 2025Article
- 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
- Relation of time in range to severity of coronary artery disease in patients with type 2 diabetes: A cross-sectional study.Open medicine (Warsaw, Poland) · 2025Article
- Relationship between metabolically healthy overweight/obesity and risk of type 2 diabetes in different ethnicity: a prospective cohort study in southwest China.BMC public health · 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
- Associating plasma aldosterone concentration with the prevalence of MAFLD in hypertensive patients: insights from a large-scale cross-sectional study.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to establish and validate a nomogram for better assessment of the risk of type 2 diabetes (T2D) in obese patients with non-alcoholic fatty liver disease (NAFLD) based on independent predictors.
methodsOf 1820 eligible participants from the NAGALA cohort enrolled in the study. Multivariate Cox regression was employed to construct the nomogram. The performance was assessed by area under the receiver operating characteristic curve (AUC), C-index, calibration curve, decision curve analysis, and Kaplan-Meier analysis.
resultsFive predictors were selected from 17 variables. The AUC values at different time points all indicated that the model constructed with these five predictors had good predictive power. Decision curves indicated that the model could be applied to clinical applications.
conclusionsWe established and validated a reasonable, economical nomogram for predicting the risk of T2D in obese NAFLD patients. This simple clinical tool can help with risk stratification and thus contribute to the development of effective prevention programs against T2D in obese patients with NAFLD.
Indexed as
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35958467PMC9360847What OpenQuestion holds
Registered trials
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