Title: Relationship between anthropometric measures and the risk of incident Metabolic
dysfunction-associated steatotic liver disease: a longitudinal study
Version: 0 Date: 17 Nov 2024
Reviewer's report:
The author explored the relationship between several obesity indices and MASLD based on
gender differences, showing that BMI had the strongest predictive ability for MASLD in both
male and female populations. However, there are several shortcomings in the manuscript:
1. The introduction should be further refined to establish the significance of the study, such as
how this research fills the gaps in previous studies.
2. The research sample and design need to be described in more detail, including specifics of
the population recruitment.
3. In the multivariable logistic regression model, the author reports the odds ratio (OR) for each
unit increase in obesity indices (e.g., BMI, WC). However, if the relationship between these
indices and the dependent variable is non-linear, these ORs are meaningless.
4. The discussion section of this study does not adequately address the mechanisms underlying
the association between various obesity indices and MASLD.
5. The language needs further improvement, and the full name should be provided when
abbreviations are first introduced.
Title: Relationship between anthropometric measures and the risk of incident Metabolic
dysfunction-associated steatotic liver disease: a longitudinal study
Version: 0 Date: 17 Nov 2024
Reviewer's report:
The author explored the relationship between several obesity indices and MASLD based on
gender differences, showing that BMI had the strongest predictive ability for MASLD in both
male and female populations. However, there are several shortcomings in the manuscript:
1. The introduction should be further refined to establish the significance of the study, such as
how this research fills the gaps in previous studies.
2. The research sample and design need to be described in more detail, including specifics of
the population recruitment.
3. In the multivariable logistic regression model, the author reports the odds ratio (OR) for each
unit increase in obesity indices (e.g., BMI, WC). However, if the relationship between these
indices and the dependent variable is non-linear, these ORs are meaningless.
4. The discussion section of this study does not adequately address the mechanisms underlying
the association between various obesity indices and MASLD.
5. The language needs further improvement, and the full name should be provided when
abbreviations are first introduced.
Please review this paper.
user
Title: Relationship between anthropometric measures and the risk of incident Metabolic
dysfunction-associated steatotic liver disease: a longitudinal study
Version: 0 Date: 17 Nov 2024
Reviewer's report:
The author explored the relationship between several obesity indices and MASLD based on
gender differences, showing that BMI had the strongest predictive ability for MASLD in both
male and female populations. However, there are several shortcomings in the manuscript:
1. The introduction should be further refined to establish the significance of the study, such as
how this research fills the gaps in previous studies.
2. The research sample and design need to be described in more detail, including specifics of
the population recruitment.
3. In the multivariable logistic regression model, the author reports the odds ratio (OR) for each
unit increase in obesity indices (e.g., BMI, WC). However, if the relationship between these
indices and the dependent variable is non-linear, these ORs are meaningless.
4. The discussion section of this study does not adequately address the mechanisms underlying
the association between various obesity indices and MASLD.
5. The language needs further improvement, and the full name should be provided when
abbreviations are first introduced.
assistant