Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 23 Jun 2024
Reviewer:  Hanna-Jairala Ignacio
Reviewer's report:
Congratulations to the authors. I believe that it should be accepted with minor changes.
It would be useful to include in the introduction, two articles referring to prevalence data directly
related to the objectives of the study:
Worldwide Prevalence and Burden of Functional Gastrointestinal Disorders, Results of Rome
Foundation Global Study Gastroenterology. 2021 Jan;160(1):99-114.e3.
Global prevalence of psychological distress and comorbidity with disorders of gut-brain
interactions. American Journal of Gastroenterology. 2024;119:165-175
The methodology in relation to the statistical analysis and the presentation of results seems to
me to be correct and very carefully presented.
In the section 4.1 Summary of the results, I would add statistical data as a summary of the results
previously presented in a broad way, as well as the statistical significance of these results.
The findings allow to make more categorical "conclusions", it seems to me that this section
(conclusions) should be rewritten by pointing out the association found in the study.
Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 23 Jun 2024
Reviewer:  Hanna-Jairala Ignacio
Reviewer's report:
Congratulations to the authors. I believe that it should be accepted with minor changes.
It would be useful to include in the introduction, two articles referring to prevalence data directly
related to the objectives of the study:
Worldwide Prevalence and Burden of Functional Gastrointestinal Disorders, Results of Rome
Foundation Global Study Gastroenterology. 2021 Jan;160(1):99-114.e3.
Global prevalence of psychological distress and comorbidity with disorders of gut-brain
interactions. American Journal of Gastroenterology. 2024;119:165-175
The methodology in relation to the statistical analysis and the presentation of results seems to
me to be correct and very carefully presented.
In the section 4.1 Summary of the results, I would add statistical data as a summary of the results
previously presented in a broad way, as well as the statistical significance of these results.
The findings allow to make more categorical "conclusions", it seems to me that this section
(conclusions) should be rewritten by pointing out the association found in the study.
Please review this paper.
user
Title: Decoding IBS: A Machine Learning Approach to Psychological Distress and Gut-Brain
Interaction
Version: 0 Date: 23 Jun 2024
Reviewer:  Hanna-Jairala Ignacio
Reviewer's report:
Congratulations to the authors. I believe that it should be accepted with minor changes.
It would be useful to include in the introduction, two articles referring to prevalence data directly
related to the objectives of the study:
Worldwide Prevalence and Burden of Functional Gastrointestinal Disorders, Results of Rome
Foundation Global Study Gastroenterology. 2021 Jan;160(1):99-114.e3.
Global prevalence of psychological distress and comorbidity with disorders of gut-brain
interactions. American Journal of Gastroenterology. 2024;119:165-175
The methodology in relation to the statistical analysis and the presentation of results seems to
me to be correct and very carefully presented.
In the section 4.1 Summary of the results, I would add statistical data as a summary of the results
previously presented in a broad way, as well as the statistical significance of these results.
The findings allow to make more categorical "conclusions", it seems to me that this section
(conclusions) should be rewritten by pointing out the association found in the study.
assistant