What is the clinical evidence from this study?

Study design: Cohort. Population: Metabolic dysfunction-associated steatotic liver disease (MASLD). Intervention: MASLD clustering model vs. Across MASLD clusters. Primary outcome: Major adverse cardiovascular events (MACE), liver-related events (LRE), and new-onset type 2 diabetes (T2DM) (p=<0.001).

October 18, 2025JHEP ReportsOpen Access

Validation of a data-driven clustering model for MASLD: Evidence from three large-scale Asian cohorts

Q: What are the key findings of this study?

A data-driven MASLD clustering model identified patient subgroups with distinct risks for cardiovascular and liver-related outcomes in Asian populations (P<0.001).

View Full Paper

Ask AI

Bookmark

Key result

MASLD cluster modeling identifies subgroups with distinct risks for MACE and liver-related events.

P<0.001

Why the study?

Does a data-driven clustering model for MASLD predict distinct risks for cardiovascular and liver-related outcomes in Asian populations?

Population

Patients with Metabolic dysfunction-associated steatotic liver disease from three Asian cohorts

Design

Cohort

Authors

XZXiaodong ZhouWenzhou Medical University SSSherlot Juan SongChinese University of Hong Kong CGChloe Yitian GuoNational University of Singapore

Discussion

Member takes

Implication

A data-driven clustering model for MASLD successfully identifies patient subgroups with distinct risks for cardiovascular and liver-related outcomes in Asian populations, supporting personalized risk stratification.

Study Design

Type

Cohort

Multicenter

Yes

Structured PICO

Does a data-driven clustering model for MASLD predict distinct risks for cardiovascular and liver-related outcomes in Asian populations?

Population

Patients with Metabolic dysfunction-associated steatotic liver disease (MASLD) from three Asian cohorts (Wenzhou Real-World, Hong Kong Clinical Data Analysis and Reporting System, and SingHealth Diabetes Registry)

Exposure

Data-driven clustering model for MASLD based on clinical variables (including alanine aminotransferase, LDL-cholesterol, and triglycerides)

Outcome

Major adverse cardiovascular events (MACE), liver-related events (LRE), and new-onset type 2 diabetes (T2DM)hard clinical

Main Result

p-value: p=<0.001

Limitations

Need for further validation in diverse populations
need for further validation in diverse populations

Cite This Study

Zhou et al. (2025) conducted a cohort in Metabolic dysfunction-associated steatotic liver disease (MASLD). MASLD clustering model vs. Across MASLD clusters was evaluated on Major adverse cardiovascular events (MACE), liver-related events (LRE), and new-onset type 2 diabetes (T2DM) (p=<0.001). A data-driven MASLD clustering model identified patient subgroups with distinct risks for cardiovascular and liver-related outcomes in Asian populations (P<0.001).

synapsesocial.com/papers/6a7f65c4e99b7e528dfbef05 https://doi.org/10.1016/j.jhepr.2025.101645

View Full Paper

Ask AI

Bookmark

Validation of a data-driven clustering model for MASLD: Evidence from three large-scale Asian cohorts

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Limitations

Cite This Study

Validation of a data-driven clustering model for MASLD: Evidence from three large-scale Asian cohorts

Discussion

Member takes

Implication

Study Design

Structured PICO

Main Result

Limitations

Cite This Study

Also Consider

Also Consider