Title: Analyzing Risk Factors and Constructing a Predictive Model for Superficial Esophageal
Carcinoma with Submucosal Infiltration Exceeding 200 Micrometers.
Version: 3 Date: 31 Aug 2024
Reviewer:  Panagiotis Tsibouris
Reviewer's report:
Abstract: OR and p values couls be introduced in the abstract Words cab be gained on
behalf of  reduction of objectives and rephrasing. Methods Criteria for possible lymph node
involvement and catalogue of excluded comorbidities should be given Prior chemoradiotherapy
is presupposed by excluding previous malignancies Some study variables need futher definition
Like: heart disease,  kidney disease, EUS and EOM findings and family history For parameters
expressed in numerical values it should be defined if continues values or dichotomised
expression was selected For the later dichotomising value should be given Lifestyle assessment
should be further explained Number of cases should be moved to results Results Variable
transformation should be moved to methodsThe same for risk factor identification Results
should be initiated with number of patients in each cohort and patient demographics Analysis
of significant risk factors should follow and construction of final model should come after.
Discribing of method construction also belongs to the methods Significant parameters should
be presented in the text, as well as OR and p values Prediction model formula should also be
in the text so that it can be easily found for future evaluations of the model Finaly AUC and
sensitivity specificity NPV and PPV for the model should be given in the text Discussion should
be adapted accordingly
Title: Analyzing Risk Factors and Constructing a Predictive Model for Superficial Esophageal
Carcinoma with Submucosal Infiltration Exceeding 200 Micrometers.
Version: 3 Date: 31 Aug 2024
Reviewer:  Panagiotis Tsibouris
Reviewer's report:
Abstract: OR and p values couls be introduced in the abstract Words cab be gained on
behalf of  reduction of objectives and rephrasing. Methods Criteria for possible lymph node
involvement and catalogue of excluded comorbidities should be given Prior chemoradiotherapy
is presupposed by excluding previous malignancies Some study variables need futher definition
Like: heart disease,  kidney disease, EUS and EOM findings and family history For parameters
expressed in numerical values it should be defined if continues values or dichotomised
expression was selected For the later dichotomising value should be given Lifestyle assessment
should be further explained Number of cases should be moved to results Results Variable
transformation should be moved to methodsThe same for risk factor identification Results
should be initiated with number of patients in each cohort and patient demographics Analysis
of significant risk factors should follow and construction of final model should come after.
Discribing of method construction also belongs to the methods Significant parameters should
be presented in the text, as well as OR and p values Prediction model formula should also be
in the text so that it can be easily found for future evaluations of the model Finaly AUC and
sensitivity specificity NPV and PPV for the model should be given in the text Discussion should
be adapted accordingly
Please review this paper.
user
Title: Analyzing Risk Factors and Constructing a Predictive Model for Superficial Esophageal
Carcinoma with Submucosal Infiltration Exceeding 200 Micrometers.
Version: 3 Date: 31 Aug 2024
Reviewer:  Panagiotis Tsibouris
Reviewer's report:
Abstract: OR and p values couls be introduced in the abstract Words cab be gained on
behalf of  reduction of objectives and rephrasing. Methods Criteria for possible lymph node
involvement and catalogue of excluded comorbidities should be given Prior chemoradiotherapy
is presupposed by excluding previous malignancies Some study variables need futher definition
Like: heart disease,  kidney disease, EUS and EOM findings and family history For parameters
expressed in numerical values it should be defined if continues values or dichotomised
expression was selected For the later dichotomising value should be given Lifestyle assessment
should be further explained Number of cases should be moved to results Results Variable
transformation should be moved to methodsThe same for risk factor identification Results
should be initiated with number of patients in each cohort and patient demographics Analysis
of significant risk factors should follow and construction of final model should come after.
Discribing of method construction also belongs to the methods Significant parameters should
be presented in the text, as well as OR and p values Prediction model formula should also be
in the text so that it can be easily found for future evaluations of the model Finaly AUC and
sensitivity specificity NPV and PPV for the model should be given in the text Discussion should
be adapted accordingly
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