Title: Development and validation of a clinical prediction model for the risk of distal metastasis
in intrahepatic cholangiocarcinoma: a real-world study
Version: 1 Date: 06 Nov 2023
Reviewer's report:
Thanks for the invitation, the study is a clinical predictive modeling study that collected clinical
data on cholangiocarcinoma to construct the risk of distal metastasis in the prediction period,
but the article currently has more problems that need to be revised:
1. In the introduction section authors should provide more background information about
cholangiocarcinoma (CCA) to help readers better understand the background and significance
of the study.
2. it is recommended that statistics on the incidence of CCA worldwide be included to provide
a baseline for the reader to better understand the relevance and significance of the study.
3. more detailed information about the patients in the study could be provided in the
methodology, especially information about the age, stage and grading of the tumors, an
explanation of how the patients were selected to participate in the study, including how they
were recruited, and the criteria used to define inclusion and exclusion from the study.
4. it is recommended to explain the methods of selection and validation of the statistical
prediction models used in the study, and to describe the specific software used for data analysis
and model creation and how it was used. The following two articles may help you: #. https://
doi.org/10.1007/s12072-022-10354-3   #.DOI 10.3389/fendo.2023.1153802
5 The authors should include a discussion explaining the limitations of the study and how these
limitations may affect the generalizability of the findings.
6. a more detailed description of the clinical implications of the study is recommended, including
how the results can be translated into better patient prognosis in clinical practice, an explanation
of how the predictive model can be used for clinical decision making, and examples of how it
can be applied in practice.
7. more discussion of how the predictive model compares to other available methods of distal
metastasis prediction.
8. could illustrate how the nomogram can be applied in a clinical setting, including how it can
be easily integrated into existing clinical workflows.
9. further discussion of how nomograms can be improved in future studies is recommended,
especially in the context of new technological advances and evolving clinical standards.
Title: Development and validation of a clinical prediction model for the risk of distal metastasis
in intrahepatic cholangiocarcinoma: a real-world study
Version: 1 Date: 06 Nov 2023
Reviewer's report:
Thanks for the invitation, the study is a clinical predictive modeling study that collected clinical
data on cholangiocarcinoma to construct the risk of distal metastasis in the prediction period,
but the article currently has more problems that need to be revised:
1. In the introduction section authors should provide more background information about
cholangiocarcinoma (CCA) to help readers better understand the background and significance
of the study.
2. it is recommended that statistics on the incidence of CCA worldwide be included to provide
a baseline for the reader to better understand the relevance and significance of the study.
3. more detailed information about the patients in the study could be provided in the
methodology, especially information about the age, stage and grading of the tumors, an
explanation of how the patients were selected to participate in the study, including how they
were recruited, and the criteria used to define inclusion and exclusion from the study.
4. it is recommended to explain the methods of selection and validation of the statistical
prediction models used in the study, and to describe the specific software used for data analysis
and model creation and how it was used. The following two articles may help you: #. https://
doi.org/10.1007/s12072-022-10354-3   #.DOI 10.3389/fendo.2023.1153802
5 The authors should include a discussion explaining the limitations of the study and how these
limitations may affect the generalizability of the findings.
6. a more detailed description of the clinical implications of the study is recommended, including
how the results can be translated into better patient prognosis in clinical practice, an explanation
of how the predictive model can be used for clinical decision making, and examples of how it
can be applied in practice.
7. more discussion of how the predictive model compares to other available methods of distal
metastasis prediction.
8. could illustrate how the nomogram can be applied in a clinical setting, including how it can
be easily integrated into existing clinical workflows.
9. further discussion of how nomograms can be improved in future studies is recommended,
especially in the context of new technological advances and evolving clinical standards.
Please review this paper.
user
Title: Development and validation of a clinical prediction model for the risk of distal metastasis
in intrahepatic cholangiocarcinoma: a real-world study
Version: 1 Date: 06 Nov 2023
Reviewer's report:
Thanks for the invitation, the study is a clinical predictive modeling study that collected clinical
data on cholangiocarcinoma to construct the risk of distal metastasis in the prediction period,
but the article currently has more problems that need to be revised:
1. In the introduction section authors should provide more background information about
cholangiocarcinoma (CCA) to help readers better understand the background and significance
of the study.
2. it is recommended that statistics on the incidence of CCA worldwide be included to provide
a baseline for the reader to better understand the relevance and significance of the study.
3. more detailed information about the patients in the study could be provided in the
methodology, especially information about the age, stage and grading of the tumors, an
explanation of how the patients were selected to participate in the study, including how they
were recruited, and the criteria used to define inclusion and exclusion from the study.
4. it is recommended to explain the methods of selection and validation of the statistical
prediction models used in the study, and to describe the specific software used for data analysis
and model creation and how it was used. The following two articles may help you: #. https://
doi.org/10.1007/s12072-022-10354-3   #.DOI 10.3389/fendo.2023.1153802
5 The authors should include a discussion explaining the limitations of the study and how these
limitations may affect the generalizability of the findings.
6. a more detailed description of the clinical implications of the study is recommended, including
how the results can be translated into better patient prognosis in clinical practice, an explanation
of how the predictive model can be used for clinical decision making, and examples of how it
can be applied in practice.
7. more discussion of how the predictive model compares to other available methods of distal
metastasis prediction.
8. could illustrate how the nomogram can be applied in a clinical setting, including how it can
be easily integrated into existing clinical workflows.
9. further discussion of how nomograms can be improved in future studies is recommended,
especially in the context of new technological advances and evolving clinical standards.
assistant