Title: Association between Estimated Plasma Volume Status and the Risk of 30-day Mortality
in Patients with Severe Acute Pancreatitis: A Retrospective Study Based on the MIMIC-IV
Database
Version: 0 Date: 18 Feb 2025
Reviewer's report:
Dear authors,
I have now completed the review of the manuscript titled "Association between Estimated
Plasma Volume Status and the Risk of 30-day Mortality in Patients with Severe Acute
Pancreatitis: A Retrospective Study Based on the MIMIC-IV Database."
The manuscript is interesting and, in general, fairly well-written. I think it is accpetable,
however, if authors would like to make an improvement, I would like to suggest them to breifly
mentioning more recent research. For example, Recent Deep Learning-Based Brain Tumor
Segmentation Models Using Multi-Modality Magnetic Resonance Imaging: A Prospective
Survey would be relevant because similar to how the study used LASSO regression and
statistical analysis to evaluate ePVS, this article discusses advanced analytical methods that
could provide insights into medical image analysis and statistical modeling approaches.
Also, research like Feature Preserving Mesh Network for Semantic Segmentation of Retinal
Vasculature to Support ophthalmic Disease Analysis, discusses analysis of medical data using
advanced computational methods, which aligns with how the SAP study used complex statistical
analyses like restricted cubic spline (RCS) analysis and Cox regression models.
Thank you for your valuable contributions to our field of research. I look forward to receiving
the revised manuscript.
Title: Association between Estimated Plasma Volume Status and the Risk of 30-day Mortality
in Patients with Severe Acute Pancreatitis: A Retrospective Study Based on the MIMIC-IV
Database
Version: 0 Date: 18 Feb 2025
Reviewer's report:
Dear authors,
I have now completed the review of the manuscript titled "Association between Estimated
Plasma Volume Status and the Risk of 30-day Mortality in Patients with Severe Acute
Pancreatitis: A Retrospective Study Based on the MIMIC-IV Database."
The manuscript is interesting and, in general, fairly well-written. I think it is accpetable,
however, if authors would like to make an improvement, I would like to suggest them to breifly
mentioning more recent research. For example, Recent Deep Learning-Based Brain Tumor
Segmentation Models Using Multi-Modality Magnetic Resonance Imaging: A Prospective
Survey would be relevant because similar to how the study used LASSO regression and
statistical analysis to evaluate ePVS, this article discusses advanced analytical methods that
could provide insights into medical image analysis and statistical modeling approaches.
Also, research like Feature Preserving Mesh Network for Semantic Segmentation of Retinal
Vasculature to Support ophthalmic Disease Analysis, discusses analysis of medical data using
advanced computational methods, which aligns with how the SAP study used complex statistical
analyses like restricted cubic spline (RCS) analysis and Cox regression models.
Thank you for your valuable contributions to our field of research. I look forward to receiving
the revised manuscript.
Please review this paper.
user
Title: Association between Estimated Plasma Volume Status and the Risk of 30-day Mortality
in Patients with Severe Acute Pancreatitis: A Retrospective Study Based on the MIMIC-IV
Database
Version: 0 Date: 18 Feb 2025
Reviewer's report:
Dear authors,
I have now completed the review of the manuscript titled "Association between Estimated
Plasma Volume Status and the Risk of 30-day Mortality in Patients with Severe Acute
Pancreatitis: A Retrospective Study Based on the MIMIC-IV Database."
The manuscript is interesting and, in general, fairly well-written. I think it is accpetable,
however, if authors would like to make an improvement, I would like to suggest them to breifly
mentioning more recent research. For example, Recent Deep Learning-Based Brain Tumor
Segmentation Models Using Multi-Modality Magnetic Resonance Imaging: A Prospective
Survey would be relevant because similar to how the study used LASSO regression and
statistical analysis to evaluate ePVS, this article discusses advanced analytical methods that
could provide insights into medical image analysis and statistical modeling approaches.
Also, research like Feature Preserving Mesh Network for Semantic Segmentation of Retinal
Vasculature to Support ophthalmic Disease Analysis, discusses analysis of medical data using
advanced computational methods, which aligns with how the SAP study used complex statistical
analyses like restricted cubic spline (RCS) analysis and Cox regression models.
Thank you for your valuable contributions to our field of research. I look forward to receiving
the revised manuscript.
assistant