Title: Prognostic model for oversurvival and tumor-specific survival prediction in patients with
advanced extrahepatic cholangiocarcinoma: a population-based analysis
Version: 5 Date: 05 Oct 2023
Reviewer's report:
I read this work with great interest prognosis of patients with extrahepatic cholangiocarcinoma.
Recently  it is common practice to forecast the prognosis of a wide range of diseases utilizing
clinically based nomograms, incorporating all risk variables into a thorough analysis.
The introduction is well done and explains well what the problem of the study is.
In the methods, although the OS is well specified and defined. CSS, however, is not. I think
that CSS is a very important aspect to treat in oncology, but the authors must clearly specify the
difference with OS, perhaps arguing a little more in the discussions.
In other words, how is it considered if the patient is lost to follow up or dies from other causes.
Then, how do the authors consider these other causes be linked to factors other than those of
the tumor disease?
Basically the OS curve must be lower than the CSS curve in general, but this is not the case
from the figures.
The authors need to discuss better in the discussions and provide an adequate explanation in the
response to my comment.
In conclusion it is a beautiful work and has a well-structured statistical analysis
Title: Prognostic model for oversurvival and tumor-specific survival prediction in patients with
advanced extrahepatic cholangiocarcinoma: a population-based analysis
Version: 5 Date: 05 Oct 2023
Reviewer's report:
I read this work with great interest prognosis of patients with extrahepatic cholangiocarcinoma.
Recently  it is common practice to forecast the prognosis of a wide range of diseases utilizing
clinically based nomograms, incorporating all risk variables into a thorough analysis.
The introduction is well done and explains well what the problem of the study is.
In the methods, although the OS is well specified and defined. CSS, however, is not. I think
that CSS is a very important aspect to treat in oncology, but the authors must clearly specify the
difference with OS, perhaps arguing a little more in the discussions.
In other words, how is it considered if the patient is lost to follow up or dies from other causes.
Then, how do the authors consider these other causes be linked to factors other than those of
the tumor disease?
Basically the OS curve must be lower than the CSS curve in general, but this is not the case
from the figures.
The authors need to discuss better in the discussions and provide an adequate explanation in the
response to my comment.
In conclusion it is a beautiful work and has a well-structured statistical analysis
Please review this paper.
user
Title: Prognostic model for oversurvival and tumor-specific survival prediction in patients with
advanced extrahepatic cholangiocarcinoma: a population-based analysis
Version: 5 Date: 05 Oct 2023
Reviewer's report:
I read this work with great interest prognosis of patients with extrahepatic cholangiocarcinoma.
Recently  it is common practice to forecast the prognosis of a wide range of diseases utilizing
clinically based nomograms, incorporating all risk variables into a thorough analysis.
The introduction is well done and explains well what the problem of the study is.
In the methods, although the OS is well specified and defined. CSS, however, is not. I think
that CSS is a very important aspect to treat in oncology, but the authors must clearly specify the
difference with OS, perhaps arguing a little more in the discussions.
In other words, how is it considered if the patient is lost to follow up or dies from other causes.
Then, how do the authors consider these other causes be linked to factors other than those of
the tumor disease?
Basically the OS curve must be lower than the CSS curve in general, but this is not the case
from the figures.
The authors need to discuss better in the discussions and provide an adequate explanation in the
response to my comment.
In conclusion it is a beautiful work and has a well-structured statistical analysis
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