Title: Metabolic Outcomes in Non-Alcoholic and Alcoholic Steatotic Liver Disease among
Korean and American Adults
Version: 0 Date: 07 Dec 2024
Reviewer's report:
The manuscript investigates the relationships between different types of steatotic liver disease
(MASLD, MetALD, and ALD) and chronic metabolic diseases using large cohort data from
Korea and the US. The study demonstrates that machine learning models can effectively predict
these relationships and highlights the particular significance of MetALD. The paper is timely
and relevant, especially given the recent reclassification of fatty liver diseases. However there
are still a number of issues that need to be addressed.
1. Include more recent references on MetALD specifically, as this is a key focus.
2. Improve clarity in methods section with shorter, more direct sentences.
Title: Metabolic Outcomes in Non-Alcoholic and Alcoholic Steatotic Liver Disease among
Korean and American Adults
Version: 0 Date: 07 Dec 2024
Reviewer's report:
The manuscript investigates the relationships between different types of steatotic liver disease
(MASLD, MetALD, and ALD) and chronic metabolic diseases using large cohort data from
Korea and the US. The study demonstrates that machine learning models can effectively predict
these relationships and highlights the particular significance of MetALD. The paper is timely
and relevant, especially given the recent reclassification of fatty liver diseases. However there
are still a number of issues that need to be addressed.
1. Include more recent references on MetALD specifically, as this is a key focus.
2. Improve clarity in methods section with shorter, more direct sentences.
Please review this paper.
user
Title: Metabolic Outcomes in Non-Alcoholic and Alcoholic Steatotic Liver Disease among
Korean and American Adults
Version: 0 Date: 07 Dec 2024
Reviewer's report:
The manuscript investigates the relationships between different types of steatotic liver disease
(MASLD, MetALD, and ALD) and chronic metabolic diseases using large cohort data from
Korea and the US. The study demonstrates that machine learning models can effectively predict
these relationships and highlights the particular significance of MetALD. The paper is timely
and relevant, especially given the recent reclassification of fatty liver diseases. However there
are still a number of issues that need to be addressed.
1. Include more recent references on MetALD specifically, as this is a key focus.
2. Improve clarity in methods section with shorter, more direct sentences.
assistant