Title: A novel nomogram for identifying candidates for adjuvant chemotherapy in patients with
stage IB gastric adenocarcinoma
Version: 1 Date: 07 Sep 2022
Reviewer's report:
Dear editors, It's my honor to be invited to review this article, which was titled as "A novel
nomogram for identifying candidates for adjuvant chemotherapy in patients with stage IB gastric
adenocarcinoma."
The authors presented a nomogram typical study for the prediction of the prognosis of
patients with gastric cancer. I recommend dispelling doubts and some necessary revision before
publication.
1#As far as I know, similar articles have been published (Development and Validation of a
Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric
Cancer/A SEER population analysis of stage IB resected gastric cancer: who can benefit from
adjuvant therapy?).It is suggested to supplement previous similar studies and elaborate the
original intention of the author to carry out the study again.
2#In this study, the author used logistic regression analysis and multivariate Cox regression.
In my opinion, this is repetitive work. In fact, I prefer the method of Wang et al. To establish
nomogram and distinguish high-risk and low-risk groups through Cox regression analysis.(A
SEER population analysis of stage IB resected gastric cancer: who can benefit from adjuvant
therapy?)
3#There are many pictures in this manuscript that can't be read, so that I can't evaluate the
accuracy of the study. I don't know if this is the problem of my computer. What I care
most about is that the independent predictors included in the nomogram do not seem to be
statistically significant in the multivariate regression analysis (P < 0.05).Gender(0.059),Tumor
size(0.097),Primary site(0.034/0.163/0.557)
Title: A novel nomogram for identifying candidates for adjuvant chemotherapy in patients with
stage IB gastric adenocarcinoma
Version: 1 Date: 07 Sep 2022
Reviewer's report:
Dear editors, It's my honor to be invited to review this article, which was titled as "A novel
nomogram for identifying candidates for adjuvant chemotherapy in patients with stage IB gastric
adenocarcinoma."
The authors presented a nomogram typical study for the prediction of the prognosis of
patients with gastric cancer. I recommend dispelling doubts and some necessary revision before
publication.
1#As far as I know, similar articles have been published (Development and Validation of a
Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric
Cancer/A SEER population analysis of stage IB resected gastric cancer: who can benefit from
adjuvant therapy?).It is suggested to supplement previous similar studies and elaborate the
original intention of the author to carry out the study again.
2#In this study, the author used logistic regression analysis and multivariate Cox regression.
In my opinion, this is repetitive work. In fact, I prefer the method of Wang et al. To establish
nomogram and distinguish high-risk and low-risk groups through Cox regression analysis.(A
SEER population analysis of stage IB resected gastric cancer: who can benefit from adjuvant
therapy?)
3#There are many pictures in this manuscript that can't be read, so that I can't evaluate the
accuracy of the study. I don't know if this is the problem of my computer. What I care
most about is that the independent predictors included in the nomogram do not seem to be
statistically significant in the multivariate regression analysis (P < 0.05).Gender(0.059),Tumor
size(0.097),Primary site(0.034/0.163/0.557)
Please review this paper.
user
Title: A novel nomogram for identifying candidates for adjuvant chemotherapy in patients with
stage IB gastric adenocarcinoma
Version: 1 Date: 07 Sep 2022
Reviewer's report:
Dear editors, It's my honor to be invited to review this article, which was titled as "A novel
nomogram for identifying candidates for adjuvant chemotherapy in patients with stage IB gastric
adenocarcinoma."
The authors presented a nomogram typical study for the prediction of the prognosis of
patients with gastric cancer. I recommend dispelling doubts and some necessary revision before
publication.
1#As far as I know, similar articles have been published (Development and Validation of a
Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric
Cancer/A SEER population analysis of stage IB resected gastric cancer: who can benefit from
adjuvant therapy?).It is suggested to supplement previous similar studies and elaborate the
original intention of the author to carry out the study again.
2#In this study, the author used logistic regression analysis and multivariate Cox regression.
In my opinion, this is repetitive work. In fact, I prefer the method of Wang et al. To establish
nomogram and distinguish high-risk and low-risk groups through Cox regression analysis.(A
SEER population analysis of stage IB resected gastric cancer: who can benefit from adjuvant
therapy?)
3#There are many pictures in this manuscript that can't be read, so that I can't evaluate the
accuracy of the study. I don't know if this is the problem of my computer. What I care
most about is that the independent predictors included in the nomogram do not seem to be
statistically significant in the multivariate regression analysis (P < 0.05).Gender(0.059),Tumor
size(0.097),Primary site(0.034/0.163/0.557)
assistant