Evidence map›Paper›PMID 41927286›Full record

ArticleBMJ open2026

Comparison of the identification and practicability of non-invasive diagnostic indicators under NAFLD, MAFLD and MASLD in China: a cross-sectional study.

Xin-Yun Tan, Hui-Hui Zou, Xinjuan Huang, Man-Jie Guo, Ruo-Ling Yu, Xue-Lian Liu, Ting Peng, Xuan Yang, Chun-Xiang Qin

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xin-Yun TanXiangya School of Nursing, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0007-5555-6750
Hui-Hui ZouSchool of Nursing, Jishou University, Jishou, Hunan, China.
Xinjuan HuangXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Man-Jie GuoXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Ruo-Ling YuXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Xue-Lian LiuHealth Management Medicine Center and Nursing Department, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Ting PengHealth Management Medicine Center and Nursing Department, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0003-1687-8352
Xuan YangDepartment of Dermatology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Chun-Xiang QinHealth Management Medicine Center and Nursing Department, Third Xiangya Hospital of Central South University, Changsha, Hunan, China chunxiangqin@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly screening of non-alcoholic fatty liver disease (NAFLD) is critical for early diagnosis and management. The disease was renamed and its diagnostic criteria revised as metabolic-associated FLD (MAFLD) in 2020 and further updated to metabolic dysfunction-associated steatotic liver disease (MASLD) in 2023. This study evaluated the predictive performance and clinical feasibility of non-invasive diagnostic indicators across the NAFLD, MAFLD and MASLD diagnostic criteria.

designCross-sectional study.

settingHealth Management Centre in China.

participantsA total of 5810 participants aged ≥18 years were enrolled. Individuals with missing laboratory data, imaging results or self-reported information were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: Disease-specific indicators included Fatty Liver Index (FLI), Hepatic Steatosis Index and Zhejiang University index (ZJU). Non-disease-specific indicators included lipid accumulation product (LAP), Visceral Adiposity Index and the Triglyceride and Glucose Index. Subgroup analysis was performed by gender and Body Mass Index (BMI).

resultsThe area under the receiver operating characteristic curve (AUROC) for all six non-invasive indicators exceeded 0.7. FLI showed the optimal predictive performance across the three criteria (NAFLD-AUROC: 0.802, MAFLD-AUROC: 0.847 and MASLD-AUROC: 0.811), with comparable performance observed for ZJU (0.797, 0.838 and 0.809, respectively). Pairwise z-tests demonstrated a significant difference between FLI and ZJU for MAFLD (p<0.05), but not for NAFLD or MASLD (all p>0.05). Subgroup analyses revealed that ZJU performed better in males (NAFLD-AUROC: 0.790, MAFLD-AUROC: 0.839 and MASLD-AUROC: 0.803), while FLI was superior in females (NAFLD-AUROC: 0.832, MAFLD-AUROC: 0.838 and MASLD-AUROC: 0.838) and in participants who were overweight (NAFLD-AUROC: 0.709, MAFLD-AUROC: 0.765 and MASLD-AUROC: 0.709). LAP exhibited the highest predictive efficacy in the normal BMI subgroup (NAFLD-AUROC: 0.758, MAFLD-AUROC: 0.804 and MASLD-AUROC: 0.796).

conclusionsFLI exhibited the highest predictive efficacy across all diagnostic criteria, and ZJU showed comparable performance. Considering diagnostic accuracy and clinical practicality, ZJU is recommended as a favourable, non-invasive tool for population-based screening in the Chinese population.

Indexed as

Fatty LiverNon-alcoholic Fatty Liver DiseaseAdultBody Mass IndexChinaCross-Sectional StudiesEarly DiagnosisFemaleHumansLipid Accumulation ProductMaleMiddle AgedPredictive Value of TestsROC CurveTriglyceridesTriglyceridesChronic DiseaseClinical Decision-MakingLipid disorders

Identifiers

PMID41927286
PMCPMC13052774

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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 Socratic graph.