Title: Nomogram for predicting the overall survival of underweight patients with colorectal
cancer: A clinical study
Version: 1 Date: 26 Sep 2022
Reviewer:  Xiangpeng Zhan
Reviewer's report:
The author developed a nomogram for predicting OS in underweight patients with CRC and
validated its favorable performance. I have the following concerns to be addressed by the author.
1. The author's language needs to be improved. For example, the recurrence of line 57 is more
appropriate.
2. As the authors say, body mass index has strong and clear evidence for the prognosis of
colorectal cancer. However, in the discussion part, the author's discussion about weight on
prognosis of colorectal cancer seems to be too much redundant. At the same time, I don't seem
to see any discussion on the variables included in the prediction model.
3. I suggest that the author increase the method of model evaluation, such as DCA curve.
4. The model should be used in a simpler way, such as in the form of a web page
5. As the author said, the data obtained are from Korean people, so it may only be applicable to
Korean people. Does the author have data from other countries to verify the applicability of the
model externally. If not, I suggest adding this clause to the limitation
6. The variables included by the author lack more detailed patient information, such as
complications, which also have a great impact on the overall mortality. Therefore, I suggest that
we should re analyze the outcome event, which should be cancer specific death.
7. I don't see the advantages of the research done by the author.
8. 95% confidence interval of AUC in the result part should be added
Title: Nomogram for predicting the overall survival of underweight patients with colorectal
cancer: A clinical study
Version: 1 Date: 26 Sep 2022
Reviewer:  Xiangpeng Zhan
Reviewer's report:
The author developed a nomogram for predicting OS in underweight patients with CRC and
validated its favorable performance. I have the following concerns to be addressed by the author.
1. The author's language needs to be improved. For example, the recurrence of line 57 is more
appropriate.
2. As the authors say, body mass index has strong and clear evidence for the prognosis of
colorectal cancer. However, in the discussion part, the author's discussion about weight on
prognosis of colorectal cancer seems to be too much redundant. At the same time, I don't seem
to see any discussion on the variables included in the prediction model.
3. I suggest that the author increase the method of model evaluation, such as DCA curve.
4. The model should be used in a simpler way, such as in the form of a web page
5. As the author said, the data obtained are from Korean people, so it may only be applicable to
Korean people. Does the author have data from other countries to verify the applicability of the
model externally. If not, I suggest adding this clause to the limitation
6. The variables included by the author lack more detailed patient information, such as
complications, which also have a great impact on the overall mortality. Therefore, I suggest that
we should re analyze the outcome event, which should be cancer specific death.
7. I don't see the advantages of the research done by the author.
8. 95% confidence interval of AUC in the result part should be added
Please review this paper.
user
Title: Nomogram for predicting the overall survival of underweight patients with colorectal
cancer: A clinical study
Version: 1 Date: 26 Sep 2022
Reviewer:  Xiangpeng Zhan
Reviewer's report:
The author developed a nomogram for predicting OS in underweight patients with CRC and
validated its favorable performance. I have the following concerns to be addressed by the author.
1. The author's language needs to be improved. For example, the recurrence of line 57 is more
appropriate.
2. As the authors say, body mass index has strong and clear evidence for the prognosis of
colorectal cancer. However, in the discussion part, the author's discussion about weight on
prognosis of colorectal cancer seems to be too much redundant. At the same time, I don't seem
to see any discussion on the variables included in the prediction model.
3. I suggest that the author increase the method of model evaluation, such as DCA curve.
4. The model should be used in a simpler way, such as in the form of a web page
5. As the author said, the data obtained are from Korean people, so it may only be applicable to
Korean people. Does the author have data from other countries to verify the applicability of the
model externally. If not, I suggest adding this clause to the limitation
6. The variables included by the author lack more detailed patient information, such as
complications, which also have a great impact on the overall mortality. Therefore, I suggest that
we should re analyze the outcome event, which should be cancer specific death.
7. I don't see the advantages of the research done by the author.
8. 95% confidence interval of AUC in the result part should be added
assistant