Title: Relationship between anthropometric measures and the risk of incident Metabolic
dysfunction-associated steatotic liver disease: a longitudinal study
Version: 0 Date: 12 Dec 2024
Reviewer's report:
1.In the Introduction section, the authors' discussion of the association of anthropometric
indicators such as BMI, WC, BRI and ABSI with MASLD is inadequate. The validity of the
argument that BRI or ABSI are likely to be more useful than WC or BMI in predicting MASLD
events is not convincing. Please add appropriate evidence from the literature to further support
your view.
2.Please add a description of the inclusion exclusion criteria for the study population in the
methods section.
3.In the statistical analysis section, the authors describe adjusting for a range of confounding
variables including age and systolic blood pressure in the multiple logistic regression model, but
why were variables such as Diastolic blood pressure, AST, ALT, and GGT not included?
4.In the results section, the font formatting of the P-values is inconsistent, so please check the
full text for corrections.
5.This study used logistic regression to assess the longitudinal relationship between baseline
values of WC, BMI, BRI, and ABSI and incident MASLD stratified by sex. But why were
analyses stratified only by gender and lacked stratification by age?
6.The language of this paper lacks academic style.
Title: Relationship between anthropometric measures and the risk of incident Metabolic
dysfunction-associated steatotic liver disease: a longitudinal study
Version: 0 Date: 12 Dec 2024
Reviewer's report:
1.In the Introduction section, the authors' discussion of the association of anthropometric
indicators such as BMI, WC, BRI and ABSI with MASLD is inadequate. The validity of the
argument that BRI or ABSI are likely to be more useful than WC or BMI in predicting MASLD
events is not convincing. Please add appropriate evidence from the literature to further support
your view.
2.Please add a description of the inclusion exclusion criteria for the study population in the
methods section.
3.In the statistical analysis section, the authors describe adjusting for a range of confounding
variables including age and systolic blood pressure in the multiple logistic regression model, but
why were variables such as Diastolic blood pressure, AST, ALT, and GGT not included?
4.In the results section, the font formatting of the P-values is inconsistent, so please check the
full text for corrections.
5.This study used logistic regression to assess the longitudinal relationship between baseline
values of WC, BMI, BRI, and ABSI and incident MASLD stratified by sex. But why were
analyses stratified only by gender and lacked stratification by age?
6.The language of this paper lacks academic style.
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: 12 Dec 2024
Reviewer's report:
1.In the Introduction section, the authors' discussion of the association of anthropometric
indicators such as BMI, WC, BRI and ABSI with MASLD is inadequate. The validity of the
argument that BRI or ABSI are likely to be more useful than WC or BMI in predicting MASLD
events is not convincing. Please add appropriate evidence from the literature to further support
your view.
2.Please add a description of the inclusion exclusion criteria for the study population in the
methods section.
3.In the statistical analysis section, the authors describe adjusting for a range of confounding
variables including age and systolic blood pressure in the multiple logistic regression model, but
why were variables such as Diastolic blood pressure, AST, ALT, and GGT not included?
4.In the results section, the font formatting of the P-values is inconsistent, so please check the
full text for corrections.
5.This study used logistic regression to assess the longitudinal relationship between baseline
values of WC, BMI, BRI, and ABSI and incident MASLD stratified by sex. But why were
analyses stratified only by gender and lacked stratification by age?
6.The language of this paper lacks academic style.
assistant