ArticleBioMed research international2020
A Nomogram Model Based on Noninvasive Bioindicators to Predict 3-Year Risk of Nonalcoholic Fatty Liver in Nonobese Mainland Chinese: A Prospective Cohort Study.
Article in BioMed research international, 2020. 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.
- Application and impact of Lasso regression in gastroenterology: A systematic review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023Pooled it
- Impact of phytosterol supplementation on metabolic syndrome factors: a systematic review of randomized controlled trials.Diabetology & metabolic syndrome · 2025Review
- Association between circadian syndrome and MASLD risk: evidence from a large cross-sectional study.BMC gastroenterology · 2025Article
- Comparison of the predictive value of TyG index and METS-IR for OSA combined with NAFLD: a retrospective observational study based on a physical examination population.BMC gastroenterology · 2025Observational
- 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
- The relationship between serum uric acid level and non-alcoholic fatty liver disease in northern China: a retrospective cohort study.BMC public health · 2025Article
- 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
- The Value of TyG-Related Indices in Evaluating MASLD and Significant Liver Fibrosis in MASLD.Canadian journal of gastroenterology & hepatology · 2025Article
- Using new indices to predict metabolism dysfunction-associated fatty liver disease (MAFLD): analysis of the national health and nutrition examination survey database.BMC gastroenterology · 2024Article
- Risk factors and nomogram to predict skip metastasis in papillary thyroid carcinoma.Gland surgery · 2024Article
- Correlation between hepatic steatosis severity diagnosed by ultrasound and metabolic indexes in elderly patients with MAFLD.Frontiers in medicine · 2024Article
- U-Shaped relationship of insulin-like growth factor I and incidence of nonalcoholic fatty liver in patients with pituitary neuroendocrine tumors: a cohort study.Frontiers in endocrinology · 2024Article
- Development and Validation of a Nomogram for Predicting Lacunar Infarction in Patients with Hypertension.International journal of general medicine · 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
- Triglyceride affects the association between estimated glomerular filtration rate and the onset of non-alcoholic fatty liver disease: A second analysis of a Chinese cohort study.Frontiers in medicine · 2022Article
- The atherogenic index of plasma: A novel factor more closely related to non-alcoholic fatty liver disease than other lipid parameters in adults.Frontiers in nutrition · 2022Article
- Hepatic Steatosis Index and the Risk of Type 2 Diabetes Mellitus in China: Insights from a General Population-Based Cohort Study.Disease markers · 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
- Evaluated Glomerular Filtration Rate Is Associated With Non-alcoholic Fatty Liver Disease: A 5-Year Longitudinal Cohort Study in Chinese Non-obese People.Frontiers in nutrition · 2022Article
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7 authors.
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Abstract
The purpose of this study is to establish and validate an accurate and personalized nonalcoholic fatty liver disease (NAFLD) prediction model based on the nonobese population in China. This study is a secondary analysis of a prospective study. We included 6,155 nonobese adults without NAFLD at baseline, with a median follow-up of 2.3 years. Univariate and multivariate Cox regression analyses were used to determine independent predictors. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize the selection of variables. Based on the results of multivariate analysis, a prediction model was established. Harrell's consistency index (C-index) and area under the curve (AUC) were used to determine the discrimination of the proposed model. The goodness of fit of the calibration model was tested, and the clinical application value of the model was evaluated by decision curve analysis (DCA). The participants were randomly divided into a training cohort (
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