Title: Meta-analysis of the Effectiveness of Early Endoscopic Treatment of Acute Biliary
Pancreatitis based on Lightweight Deep Learning Model
Version: 1 Date: 03 Mar 2024
Reviewer's report:
Thanks for the opportunity to review the manuscript by Xiong et al. “Meta-analysis of the
Effectiveness of Early Endoscopic Treatment of Acute Biliary Pancreatitis based on Lightweight
Deep Learning Model”. It is a well-written, understandable article with highly innovative
character about a relevant clinical picture. I would recommend the publication of this article in
BMC Gastroenterology.
Xiong and colleagues developed a deep-learning model to justify articles about endoscopic
management of acute biliary pancreatitis. Authors describe a meaningful symbiosis of
information technology and traditional review processes. From over 3200 articles, the authors
were able to select 8 as suitable for their analysis after an extensive analysis process.
Not surprisingly, ERCP was found to be an effective procedure with minimal complications.
However, the method of analysis described in the systematic review and meta-analysis is
sufficiently innovative to recommend that the article be published.
I congratulate the authors on a successful article and have no requests for changes.
Title: Meta-analysis of the Effectiveness of Early Endoscopic Treatment of Acute Biliary
Pancreatitis based on Lightweight Deep Learning Model
Version: 1 Date: 03 Mar 2024
Reviewer's report:
Thanks for the opportunity to review the manuscript by Xiong et al. “Meta-analysis of the
Effectiveness of Early Endoscopic Treatment of Acute Biliary Pancreatitis based on Lightweight
Deep Learning Model”. It is a well-written, understandable article with highly innovative
character about a relevant clinical picture. I would recommend the publication of this article in
BMC Gastroenterology.
Xiong and colleagues developed a deep-learning model to justify articles about endoscopic
management of acute biliary pancreatitis. Authors describe a meaningful symbiosis of
information technology and traditional review processes. From over 3200 articles, the authors
were able to select 8 as suitable for their analysis after an extensive analysis process.
Not surprisingly, ERCP was found to be an effective procedure with minimal complications.
However, the method of analysis described in the systematic review and meta-analysis is
sufficiently innovative to recommend that the article be published.
I congratulate the authors on a successful article and have no requests for changes.
Please review this paper.
user
Title: Meta-analysis of the Effectiveness of Early Endoscopic Treatment of Acute Biliary
Pancreatitis based on Lightweight Deep Learning Model
Version: 1 Date: 03 Mar 2024
Reviewer's report:
Thanks for the opportunity to review the manuscript by Xiong et al. “Meta-analysis of the
Effectiveness of Early Endoscopic Treatment of Acute Biliary Pancreatitis based on Lightweight
Deep Learning Model”. It is a well-written, understandable article with highly innovative
character about a relevant clinical picture. I would recommend the publication of this article in
BMC Gastroenterology.
Xiong and colleagues developed a deep-learning model to justify articles about endoscopic
management of acute biliary pancreatitis. Authors describe a meaningful symbiosis of
information technology and traditional review processes. From over 3200 articles, the authors
were able to select 8 as suitable for their analysis after an extensive analysis process.
Not surprisingly, ERCP was found to be an effective procedure with minimal complications.
However, the method of analysis described in the systematic review and meta-analysis is
sufficiently innovative to recommend that the article be published.
I congratulate the authors on a successful article and have no requests for changes.
assistant