Title: Development of A Prediction Model for Predicting the Prevalance of Nonalcoholic Fatty
Liver Disease in Chinese Nurses: The First-Year Follow Data of a Web-Based Ambispective
Cohort Study
Version: 2 Date: 27 Nov 2023
Reviewer's report:
This is cohort study aimed to develop and validate a prediction model to predict the incidence
of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory
tests in female nurses in the population China. I think the topic is interesting and contributive
to the epidemiology under an empirical approach quite valuable for clinical internal medicine
professionals.
Major concerns:
1. Statistical methods were described very well. Why the authors did not use stepwise logistic
regression in this study? The authors should clarify this concern.
2. Use of logistic regression regression is appropriate when using data with a common outcome.
Did the authors check with relative risk for this analysis? Please compare results of relative risk
and odds ratio.
3. In Supplementary Table, there existed inflation in odds ratio (Ca). The authors should clarify
this concern. PMCID: PMC8274998. I mean add a limitation in this study.
4. The authors should add some mechanism between risk factor and outcome in discussion
section.
5. Some references required updated.
Title: Development of A Prediction Model for Predicting the Prevalance of Nonalcoholic Fatty
Liver Disease in Chinese Nurses: The First-Year Follow Data of a Web-Based Ambispective
Cohort Study
Version: 2 Date: 27 Nov 2023
Reviewer's report:
This is cohort study aimed to develop and validate a prediction model to predict the incidence
of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory
tests in female nurses in the population China. I think the topic is interesting and contributive
to the epidemiology under an empirical approach quite valuable for clinical internal medicine
professionals.
Major concerns:
1. Statistical methods were described very well. Why the authors did not use stepwise logistic
regression in this study? The authors should clarify this concern.
2. Use of logistic regression regression is appropriate when using data with a common outcome.
Did the authors check with relative risk for this analysis? Please compare results of relative risk
and odds ratio.
3. In Supplementary Table, there existed inflation in odds ratio (Ca). The authors should clarify
this concern. PMCID: PMC8274998. I mean add a limitation in this study.
4. The authors should add some mechanism between risk factor and outcome in discussion
section.
5. Some references required updated.
Please review this paper.
user
Title: Development of A Prediction Model for Predicting the Prevalance of Nonalcoholic Fatty
Liver Disease in Chinese Nurses: The First-Year Follow Data of a Web-Based Ambispective
Cohort Study
Version: 2 Date: 27 Nov 2023
Reviewer's report:
This is cohort study aimed to develop and validate a prediction model to predict the incidence
of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory
tests in female nurses in the population China. I think the topic is interesting and contributive
to the epidemiology under an empirical approach quite valuable for clinical internal medicine
professionals.
Major concerns:
1. Statistical methods were described very well. Why the authors did not use stepwise logistic
regression in this study? The authors should clarify this concern.
2. Use of logistic regression regression is appropriate when using data with a common outcome.
Did the authors check with relative risk for this analysis? Please compare results of relative risk
and odds ratio.
3. In Supplementary Table, there existed inflation in odds ratio (Ca). The authors should clarify
this concern. PMCID: PMC8274998. I mean add a limitation in this study.
4. The authors should add some mechanism between risk factor and outcome in discussion
section.
5. Some references required updated.
assistant