Title: Nomogram based on lymphocyte-associated inflammatory indexes predicts portal vein
thrombosis after splenectomy with esophagogastric devascularization
Version: 1 Date: 02 Sep 2024
Reviewer's report:
This article studied a nomogram based on lymphocyte-related inflammatory indicators to predict
the risk of portal vein thrombosis (PVT) after splenectomy combined with gastroesophageal
devascularization, and constructed a prediction model through multivariable regression analysis.
Specific questions:
1. Research design and methods:
The authors selected a variety of lymphocyte-related inflammatory indicators to predict PVT,
but the article did not fully explain why these specific indicators were chosen. It is recommended
to add more literature support to explain the theoretical basis for selecting these indicators.
2. Sample size and statistical analysis:
Although the authors performed internal validation, the sample size was relatively small and
limited to a single-center retrospective study. The model stability and prediction accuracy
mentioned in the article may be limited by the sample size, and it is recommended that this
limitation be further emphasized in the Discussion section and validated in a multi-center study
in the future.
For multivariate analysis, some variables did not show significance in the univariate analysis
but were included in the model in the multivariate analysis. It is recommended that the authors
further explain this phenomenon to increase the credibility of the study.
3. Clinical applicability of the results:
Although this article proposes a relatively complete nomogram model, how to operate it in actual
clinical practice has not been explained in detail. It is recommended that the authors add a section
to describe in detail the specific application process of this model in clinical practice and explore
its operability in different medical environments.
4. Depth of discussion section:
The Discussion section is brief on interpretation of results and comparisons with existing
research. It is recommended that the author further explore the mechanism behind the research
results and compare the results of this study with previous literature in more detail to highlight
the innovations and shortcomings of this article.
5. Charts and data display:
Some charts in the article (such as ROC curves, calibration curves) can be further optimized to
improve readability. In addition, it is recommended to add a tabular summary of the model's
prediction performance to facilitate readers to quickly understand the overall performance of
the model.
Title: Nomogram based on lymphocyte-associated inflammatory indexes predicts portal vein
thrombosis after splenectomy with esophagogastric devascularization
Version: 1 Date: 02 Sep 2024
Reviewer's report:
This article studied a nomogram based on lymphocyte-related inflammatory indicators to predict
the risk of portal vein thrombosis (PVT) after splenectomy combined with gastroesophageal
devascularization, and constructed a prediction model through multivariable regression analysis.
Specific questions:
1. Research design and methods:
The authors selected a variety of lymphocyte-related inflammatory indicators to predict PVT,
but the article did not fully explain why these specific indicators were chosen. It is recommended
to add more literature support to explain the theoretical basis for selecting these indicators.
2. Sample size and statistical analysis:
Although the authors performed internal validation, the sample size was relatively small and
limited to a single-center retrospective study. The model stability and prediction accuracy
mentioned in the article may be limited by the sample size, and it is recommended that this
limitation be further emphasized in the Discussion section and validated in a multi-center study
in the future.
For multivariate analysis, some variables did not show significance in the univariate analysis
but were included in the model in the multivariate analysis. It is recommended that the authors
further explain this phenomenon to increase the credibility of the study.
3. Clinical applicability of the results:
Although this article proposes a relatively complete nomogram model, how to operate it in actual
clinical practice has not been explained in detail. It is recommended that the authors add a section
to describe in detail the specific application process of this model in clinical practice and explore
its operability in different medical environments.
4. Depth of discussion section:
The Discussion section is brief on interpretation of results and comparisons with existing
research. It is recommended that the author further explore the mechanism behind the research
results and compare the results of this study with previous literature in more detail to highlight
the innovations and shortcomings of this article.
5. Charts and data display:
Some charts in the article (such as ROC curves, calibration curves) can be further optimized to
improve readability. In addition, it is recommended to add a tabular summary of the model's
prediction performance to facilitate readers to quickly understand the overall performance of
the model.
Please review this paper.
user
Title: Nomogram based on lymphocyte-associated inflammatory indexes predicts portal vein
thrombosis after splenectomy with esophagogastric devascularization
Version: 1 Date: 02 Sep 2024
Reviewer's report:
This article studied a nomogram based on lymphocyte-related inflammatory indicators to predict
the risk of portal vein thrombosis (PVT) after splenectomy combined with gastroesophageal
devascularization, and constructed a prediction model through multivariable regression analysis.
Specific questions:
1. Research design and methods:
The authors selected a variety of lymphocyte-related inflammatory indicators to predict PVT,
but the article did not fully explain why these specific indicators were chosen. It is recommended
to add more literature support to explain the theoretical basis for selecting these indicators.
2. Sample size and statistical analysis:
Although the authors performed internal validation, the sample size was relatively small and
limited to a single-center retrospective study. The model stability and prediction accuracy
mentioned in the article may be limited by the sample size, and it is recommended that this
limitation be further emphasized in the Discussion section and validated in a multi-center study
in the future.
For multivariate analysis, some variables did not show significance in the univariate analysis
but were included in the model in the multivariate analysis. It is recommended that the authors
further explain this phenomenon to increase the credibility of the study.
3. Clinical applicability of the results:
Although this article proposes a relatively complete nomogram model, how to operate it in actual
clinical practice has not been explained in detail. It is recommended that the authors add a section
to describe in detail the specific application process of this model in clinical practice and explore
its operability in different medical environments.
4. Depth of discussion section:
The Discussion section is brief on interpretation of results and comparisons with existing
research. It is recommended that the author further explore the mechanism behind the research
results and compare the results of this study with previous literature in more detail to highlight
the innovations and shortcomings of this article.
5. Charts and data display:
Some charts in the article (such as ROC curves, calibration curves) can be further optimized to
improve readability. In addition, it is recommended to add a tabular summary of the model's
prediction performance to facilitate readers to quickly understand the overall performance of
the model.
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