Title: Development of Nomogram model based on LASSO-Logistic regression for predicting
postoperative undernutrition to complex anorectal malformation: a pilot exploratory study
Version: 2 Date: 16 Jun 2025
Reviewer:  Akihiro Yasui
Reviewer's report:
The significance of developing a predictive model for the nutritional status of patients after
surgery for anorectal malformations—an area that has not received much attention—is well
understood. Furthermore, the good predictive accuracy of the constructed model suggests its
potential for clinical application.
However, there are a few points regarding the model that I would like to clarify.
What is the typical age (in months) of the patients whose postoperative nutritional status
following PSARP is used as explanatory variables? Also, at what time point is the nutritional
status—used as the target variable—being assessed? These aspects were unclear in the current
manuscript, and I recommend revising the text to clarify them.
Title: Development of Nomogram model based on LASSO-Logistic regression for predicting
postoperative undernutrition to complex anorectal malformation: a pilot exploratory study
Version: 2 Date: 16 Jun 2025
Reviewer:  Akihiro Yasui
Reviewer's report:
The significance of developing a predictive model for the nutritional status of patients after
surgery for anorectal malformations—an area that has not received much attention—is well
understood. Furthermore, the good predictive accuracy of the constructed model suggests its
potential for clinical application.
However, there are a few points regarding the model that I would like to clarify.
What is the typical age (in months) of the patients whose postoperative nutritional status
following PSARP is used as explanatory variables? Also, at what time point is the nutritional
status—used as the target variable—being assessed? These aspects were unclear in the current
manuscript, and I recommend revising the text to clarify them.
Please review this paper.
user
Title: Development of Nomogram model based on LASSO-Logistic regression for predicting
postoperative undernutrition to complex anorectal malformation: a pilot exploratory study
Version: 2 Date: 16 Jun 2025
Reviewer:  Akihiro Yasui
Reviewer's report:
The significance of developing a predictive model for the nutritional status of patients after
surgery for anorectal malformations—an area that has not received much attention—is well
understood. Furthermore, the good predictive accuracy of the constructed model suggests its
potential for clinical application.
However, there are a few points regarding the model that I would like to clarify.
What is the typical age (in months) of the patients whose postoperative nutritional status
following PSARP is used as explanatory variables? Also, at what time point is the nutritional
status—used as the target variable—being assessed? These aspects were unclear in the current
manuscript, and I recommend revising the text to clarify them.
assistant