Title: Prognostic model for oversurvival and tumor-specific survival prediction in patients with
advanced extrahepatic cholangiocarcinoma: a population-based analysis
Version: 1 Date: 11 Sep 2023
Reviewer's report:
This study had as aim to study risk factor for prognosis  for patients with extrahepatic
cholangiocarcinoma (ECCA).
The authors explain that TNM system has limitations, such as its failure to consider age, adjuvant
therapy, and gender, prompted the development of new prognostic tools. In this research,
the authors identified survival risk factors for advanced ECCA patients and created novel
nomograms for predicting both overall survival (OS) and cancer-specific survival (CSS).
This study introduced novel nomograms for predicting both overall survival (OS) and cancer-
specific survival (CSS) in advanced ECCA patients.
While it is a well-conducted study with a large number of patients, I hvae some comments to
adress to the authors.
It remains unclear what type of surgery these patients underwent. Often, the extent of
lymphadenectomy associated with the primary surgery is crucial. The authors should thoroughly
discuss this aspect in the discussions.
Furthermore, I suggest mentioning other nomograms found in the literature, such as this one
(https://pubmed.ncbi.nlm.nih.gov/32474628/)." I suggest to cite this study please.
As future prospects, they should highlight the potential impact of artificial intelligence in
assisting us in selecting patients for the appropriate treatment path.
Title: Prognostic model for oversurvival and tumor-specific survival prediction in patients with
advanced extrahepatic cholangiocarcinoma: a population-based analysis
Version: 1 Date: 11 Sep 2023
Reviewer's report:
This study had as aim to study risk factor for prognosis  for patients with extrahepatic
cholangiocarcinoma (ECCA).
The authors explain that TNM system has limitations, such as its failure to consider age, adjuvant
therapy, and gender, prompted the development of new prognostic tools. In this research,
the authors identified survival risk factors for advanced ECCA patients and created novel
nomograms for predicting both overall survival (OS) and cancer-specific survival (CSS).
This study introduced novel nomograms for predicting both overall survival (OS) and cancer-
specific survival (CSS) in advanced ECCA patients.
While it is a well-conducted study with a large number of patients, I hvae some comments to
adress to the authors.
It remains unclear what type of surgery these patients underwent. Often, the extent of
lymphadenectomy associated with the primary surgery is crucial. The authors should thoroughly
discuss this aspect in the discussions.
Furthermore, I suggest mentioning other nomograms found in the literature, such as this one
(https://pubmed.ncbi.nlm.nih.gov/32474628/)." I suggest to cite this study please.
As future prospects, they should highlight the potential impact of artificial intelligence in
assisting us in selecting patients for the appropriate treatment path.
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: 1 Date: 11 Sep 2023
Reviewer's report:
This study had as aim to study risk factor for prognosis  for patients with extrahepatic
cholangiocarcinoma (ECCA).
The authors explain that TNM system has limitations, such as its failure to consider age, adjuvant
therapy, and gender, prompted the development of new prognostic tools. In this research,
the authors identified survival risk factors for advanced ECCA patients and created novel
nomograms for predicting both overall survival (OS) and cancer-specific survival (CSS).
This study introduced novel nomograms for predicting both overall survival (OS) and cancer-
specific survival (CSS) in advanced ECCA patients.
While it is a well-conducted study with a large number of patients, I hvae some comments to
adress to the authors.
It remains unclear what type of surgery these patients underwent. Often, the extent of
lymphadenectomy associated with the primary surgery is crucial. The authors should thoroughly
discuss this aspect in the discussions.
Furthermore, I suggest mentioning other nomograms found in the literature, such as this one
(https://pubmed.ncbi.nlm.nih.gov/32474628/)." I suggest to cite this study please.
As future prospects, they should highlight the potential impact of artificial intelligence in
assisting us in selecting patients for the appropriate treatment path.
assistant