Title: Diagnostic value of peripheral blood inflammatory indices for clinicopathological profile
of colorectal cancer: A retrospective observational study
Version: 1 Date: 14 Jan 2025
Reviewer:  Jian Chen
Reviewer's report:
This retrospective study explored the diagnostic value of peripheral blood inflammatory indices
like CIPI and SIRI in CRC. Analyzing 224 patients showed SIRI's link with metastasis and CIPI's
with stage, offering potential for early diagnosis and treatment. The study analyzed correlations
of inflammatory indices with CRC. However, there are some issues that need to be explained
and added by the author, as follows:
1.The basis for determining the sample size is not mentioned, and whether the sample size is
sufficient to fully reflect the overall characteristics is doubtful.
2.In this paper, due to the lack of confirmative cutoff values reported in the literature and the
unsatisfactory ROC curve AUC of most indicators, the median indicator of peripheral blood
inflammation was adopted as the cutoff value of the grouping. Although this approach solved the
grouping problem to a certain extent, it lacked sufficient theoretical and practical basis, which
may lead to inaccurate grouping and further affect the reliability of the results. At the same time,
the correlation between various inflammatory indicators has not been deeply analyzed, and the
independent or synergistic relationship between them in reflecting the pathological process of
CRC cannot be clarified.
3.The study was only based on the detection of inflammatory indicators in a single blood
sample before surgery, and the dynamic changes of inflammatory indicators during treatment
and follow-up were not monitored and analyzed, so its role in disease progression and treatment
response evaluation could not be understood. In addition, no external validation was performed
and the validity of the findings in other independent cohorts was not tested.
4.Further detailed subgroup analysis of patients, in addition to the existing basic factors such
as age and gender, can also consider the molecular subtypes of tumors (such as microsatellite
unstable type, chromosome unstable type, etc.), KRAS, BRAF and other gene mutation status.
The study of the differences in the distribution of inflammatory indicators in different subgroups
of patients and their relationship with clinicopathological features will help to accurately identify
the subgroups of CRC patients who are more sensitive to inflammatory indicators or have unique
response patterns, so as to provide more targeted guidance for personalized medicine.
5.It is recommended to construct a nomogram model to predict the therapeutic response of
CRC patients combined with clinicopathological features, inflammatory indicators and different
treatment modalities (surgery, chemotherapy, radiotherapy, targeted therapy, etc.).
Title: Diagnostic value of peripheral blood inflammatory indices for clinicopathological profile
of colorectal cancer: A retrospective observational study
Version: 1 Date: 14 Jan 2025
Reviewer:  Jian Chen
Reviewer's report:
This retrospective study explored the diagnostic value of peripheral blood inflammatory indices
like CIPI and SIRI in CRC. Analyzing 224 patients showed SIRI's link with metastasis and CIPI's
with stage, offering potential for early diagnosis and treatment. The study analyzed correlations
of inflammatory indices with CRC. However, there are some issues that need to be explained
and added by the author, as follows:
1.The basis for determining the sample size is not mentioned, and whether the sample size is
sufficient to fully reflect the overall characteristics is doubtful.
2.In this paper, due to the lack of confirmative cutoff values reported in the literature and the
unsatisfactory ROC curve AUC of most indicators, the median indicator of peripheral blood
inflammation was adopted as the cutoff value of the grouping. Although this approach solved the
grouping problem to a certain extent, it lacked sufficient theoretical and practical basis, which
may lead to inaccurate grouping and further affect the reliability of the results. At the same time,
the correlation between various inflammatory indicators has not been deeply analyzed, and the
independent or synergistic relationship between them in reflecting the pathological process of
CRC cannot be clarified.
3.The study was only based on the detection of inflammatory indicators in a single blood
sample before surgery, and the dynamic changes of inflammatory indicators during treatment
and follow-up were not monitored and analyzed, so its role in disease progression and treatment
response evaluation could not be understood. In addition, no external validation was performed
and the validity of the findings in other independent cohorts was not tested.
4.Further detailed subgroup analysis of patients, in addition to the existing basic factors such
as age and gender, can also consider the molecular subtypes of tumors (such as microsatellite
unstable type, chromosome unstable type, etc.), KRAS, BRAF and other gene mutation status.
The study of the differences in the distribution of inflammatory indicators in different subgroups
of patients and their relationship with clinicopathological features will help to accurately identify
the subgroups of CRC patients who are more sensitive to inflammatory indicators or have unique
response patterns, so as to provide more targeted guidance for personalized medicine.
5.It is recommended to construct a nomogram model to predict the therapeutic response of
CRC patients combined with clinicopathological features, inflammatory indicators and different
treatment modalities (surgery, chemotherapy, radiotherapy, targeted therapy, etc.).
Please review this paper.
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Title: Diagnostic value of peripheral blood inflammatory indices for clinicopathological profile
of colorectal cancer: A retrospective observational study
Version: 1 Date: 14 Jan 2025
Reviewer:  Jian Chen
Reviewer's report:
This retrospective study explored the diagnostic value of peripheral blood inflammatory indices
like CIPI and SIRI in CRC. Analyzing 224 patients showed SIRI's link with metastasis and CIPI's
with stage, offering potential for early diagnosis and treatment. The study analyzed correlations
of inflammatory indices with CRC. However, there are some issues that need to be explained
and added by the author, as follows:
1.The basis for determining the sample size is not mentioned, and whether the sample size is
sufficient to fully reflect the overall characteristics is doubtful.
2.In this paper, due to the lack of confirmative cutoff values reported in the literature and the
unsatisfactory ROC curve AUC of most indicators, the median indicator of peripheral blood
inflammation was adopted as the cutoff value of the grouping. Although this approach solved the
grouping problem to a certain extent, it lacked sufficient theoretical and practical basis, which
may lead to inaccurate grouping and further affect the reliability of the results. At the same time,
the correlation between various inflammatory indicators has not been deeply analyzed, and the
independent or synergistic relationship between them in reflecting the pathological process of
CRC cannot be clarified.
3.The study was only based on the detection of inflammatory indicators in a single blood
sample before surgery, and the dynamic changes of inflammatory indicators during treatment
and follow-up were not monitored and analyzed, so its role in disease progression and treatment
response evaluation could not be understood. In addition, no external validation was performed
and the validity of the findings in other independent cohorts was not tested.
4.Further detailed subgroup analysis of patients, in addition to the existing basic factors such
as age and gender, can also consider the molecular subtypes of tumors (such as microsatellite
unstable type, chromosome unstable type, etc.), KRAS, BRAF and other gene mutation status.
The study of the differences in the distribution of inflammatory indicators in different subgroups
of patients and their relationship with clinicopathological features will help to accurately identify
the subgroups of CRC patients who are more sensitive to inflammatory indicators or have unique
response patterns, so as to provide more targeted guidance for personalized medicine.
5.It is recommended to construct a nomogram model to predict the therapeutic response of
CRC patients combined with clinicopathological features, inflammatory indicators and different
treatment modalities (surgery, chemotherapy, radiotherapy, targeted therapy, etc.).
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