Title: Blood Lipid Profiles Associated with Metastatic Sites in Advanced Gastric Cancer
Version: 6 Date: 22 Aug 2024
Reviewer's report:
I would like to commend you on your research idea, which addresses an important and
timely topic in oncology. Exploring the correlation between peripheral blood lipid levels and
clinicopathological parameters in patients with advanced gastric cancer is insightful. The focus
on changes in lipid levels during disease progression may provide valuable contributions to
the field. However, I have identified several statistical issues that require revision. Given the
importance of your research and its potential impact, I recommend a major revision to ensure
the robustness and accuracy of your findings.
Comment 1: Create a new version of Table 3 where, for each lipid parameter, a multiple
regression analysis is performed to assess the adjusted effect of each metastasis type as an
independent variable on that lipid parameter as the dependent variable, while controlling for the
presence of other metastasis types.
Comment 2: Revise Table 4 by conducting a two-way ANOVA to determine if there are
differences among the four groups (Peritoneum Metastasis + in males, Peritoneum Metastasis +
in females, Peritoneum Metastasis - in males, Peritoneum Metastasis - in females). If the results
are significant, follow up with a post hoc pairwise comparison using Bonferroni correction.
Comment 3: The lipid parameters showed low specificity, making ROC curve analysis
unnecessary for determining cutoff values. You can include the lipid parameters as continuous
variables in both simple and multiple logistic regression models without categorizing them
beforehand
Title: Blood Lipid Profiles Associated with Metastatic Sites in Advanced Gastric Cancer
Version: 6 Date: 22 Aug 2024
Reviewer's report:
I would like to commend you on your research idea, which addresses an important and
timely topic in oncology. Exploring the correlation between peripheral blood lipid levels and
clinicopathological parameters in patients with advanced gastric cancer is insightful. The focus
on changes in lipid levels during disease progression may provide valuable contributions to
the field. However, I have identified several statistical issues that require revision. Given the
importance of your research and its potential impact, I recommend a major revision to ensure
the robustness and accuracy of your findings.
Comment 1: Create a new version of Table 3 where, for each lipid parameter, a multiple
regression analysis is performed to assess the adjusted effect of each metastasis type as an
independent variable on that lipid parameter as the dependent variable, while controlling for the
presence of other metastasis types.
Comment 2: Revise Table 4 by conducting a two-way ANOVA to determine if there are
differences among the four groups (Peritoneum Metastasis + in males, Peritoneum Metastasis +
in females, Peritoneum Metastasis - in males, Peritoneum Metastasis - in females). If the results
are significant, follow up with a post hoc pairwise comparison using Bonferroni correction.
Comment 3: The lipid parameters showed low specificity, making ROC curve analysis
unnecessary for determining cutoff values. You can include the lipid parameters as continuous
variables in both simple and multiple logistic regression models without categorizing them
beforehand
Please review this paper.
user
Title: Blood Lipid Profiles Associated with Metastatic Sites in Advanced Gastric Cancer
Version: 6 Date: 22 Aug 2024
Reviewer's report:
I would like to commend you on your research idea, which addresses an important and
timely topic in oncology. Exploring the correlation between peripheral blood lipid levels and
clinicopathological parameters in patients with advanced gastric cancer is insightful. The focus
on changes in lipid levels during disease progression may provide valuable contributions to
the field. However, I have identified several statistical issues that require revision. Given the
importance of your research and its potential impact, I recommend a major revision to ensure
the robustness and accuracy of your findings.
Comment 1: Create a new version of Table 3 where, for each lipid parameter, a multiple
regression analysis is performed to assess the adjusted effect of each metastasis type as an
independent variable on that lipid parameter as the dependent variable, while controlling for the
presence of other metastasis types.
Comment 2: Revise Table 4 by conducting a two-way ANOVA to determine if there are
differences among the four groups (Peritoneum Metastasis + in males, Peritoneum Metastasis +
in females, Peritoneum Metastasis - in males, Peritoneum Metastasis - in females). If the results
are significant, follow up with a post hoc pairwise comparison using Bonferroni correction.
Comment 3: The lipid parameters showed low specificity, making ROC curve analysis
unnecessary for determining cutoff values. You can include the lipid parameters as continuous
variables in both simple and multiple logistic regression models without categorizing them
beforehand
assistant