Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

Abstract Background The global prevalence of non-alcoholic fatty liver disease (NAFLD) has reached an alarming 25%, based on recent population-based studies. NAFLD diagnosis primarily relies on imaging methods, which may be invasive, costly, or limited. Existing prediction models, such as the Fatty...

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Автори:	Jing Lan, Ting Que, Hong Lan, Mingming Zhang, Lichan Ban
Формат:	Artigo
Мова:	Inglês
Опубліковано:	BMC 2025-07-01
Серія:	BMC Gastroenterology
Предмети:	NAFLD Prediction model Physical examination population Logistic regression Training set Validation set
Онлайн доступ:	https://doi.org/10.1186/s12876-025-04115-3
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