Title: Nucleated red blood cell distribution in critically ill patients with acute pancreatitis: a
retrospective cohort study
Version: 1 Date: 28 Aug 2024
Reviewer:  Ioannis Andrianopoulos
Reviewer's report:
Thank you for your reply and your extensive revision, this does show commitment from the
authors to improve quality of their work rather than please the reviewers/editors.
I have three more comments:
a) Lines 159-160 state: “  The predictive model we generated assigned risk scores based on
NRBC levels and categorized patients into high and medium-low risk groups using tertiles” and
lines 276-277 “Based on the risk scores classified as high, medium, and low, survival curves
illustrated notable discrepancies among the different risk subgroups”. Was the survival curve
analysis based on the three NRBC level categories described in figure 2d-f or was it based on
three different tertiles derived from the 9 variable prognostic model? Please clarify that in figure
4e and in the main text.
b) Figure 4 legend needs more explanation eg: a) and B) they show ROC and PR curves of 4
different machine learning models. E) survival analysis in subgroups with different risk scores
based on  (see my comment a)
c) Minor comment: table 3 needs a full description of the abbreviated parameters in the footnote.
Title: Nucleated red blood cell distribution in critically ill patients with acute pancreatitis: a
retrospective cohort study
Version: 1 Date: 28 Aug 2024
Reviewer:  Ioannis Andrianopoulos
Reviewer's report:
Thank you for your reply and your extensive revision, this does show commitment from the
authors to improve quality of their work rather than please the reviewers/editors.
I have three more comments:
a) Lines 159-160 state: “  The predictive model we generated assigned risk scores based on
NRBC levels and categorized patients into high and medium-low risk groups using tertiles” and
lines 276-277 “Based on the risk scores classified as high, medium, and low, survival curves
illustrated notable discrepancies among the different risk subgroups”. Was the survival curve
analysis based on the three NRBC level categories described in figure 2d-f or was it based on
three different tertiles derived from the 9 variable prognostic model? Please clarify that in figure
4e and in the main text.
b) Figure 4 legend needs more explanation eg: a) and B) they show ROC and PR curves of 4
different machine learning models. E) survival analysis in subgroups with different risk scores
based on  (see my comment a)
c) Minor comment: table 3 needs a full description of the abbreviated parameters in the footnote.
Please review this paper.
user
Title: Nucleated red blood cell distribution in critically ill patients with acute pancreatitis: a
retrospective cohort study
Version: 1 Date: 28 Aug 2024
Reviewer:  Ioannis Andrianopoulos
Reviewer's report:
Thank you for your reply and your extensive revision, this does show commitment from the
authors to improve quality of their work rather than please the reviewers/editors.
I have three more comments:
a) Lines 159-160 state: “  The predictive model we generated assigned risk scores based on
NRBC levels and categorized patients into high and medium-low risk groups using tertiles” and
lines 276-277 “Based on the risk scores classified as high, medium, and low, survival curves
illustrated notable discrepancies among the different risk subgroups”. Was the survival curve
analysis based on the three NRBC level categories described in figure 2d-f or was it based on
three different tertiles derived from the 9 variable prognostic model? Please clarify that in figure
4e and in the main text.
b) Figure 4 legend needs more explanation eg: a) and B) they show ROC and PR curves of 4
different machine learning models. E) survival analysis in subgroups with different risk scores
based on  (see my comment a)
c) Minor comment: table 3 needs a full description of the abbreviated parameters in the footnote.
assistant