Title: Prevalence of Gastro-oesophageal reflux disease, and its associated risk factors among
medical students: A nation-based cross-sectional study
Version: 2 Date: 25 Jun 2023
Reviewer's report:
Dear Authors,
I found the paper interesting, mainly because it addresses an important topic and includes a very
high number of a specific population (medical students in Egypt).
However, some issues have to be taken into account and I kindly ask you to answer to them:
- The tables are not clear and are somehow misleading. I would not compare "total" vs.
"yes", meaning GERD population, but I would add the column "No GERD". In this way, the
comparison between the GERD and No-GERD population would be more meaningful and more
easy to read.
- It's difficult to figure out a real statistical differences in some of the variables, because they
are divided into >2 categories. I would keep BMI, Physical activity, analgesics and meals
dichotomous, in order to really understand in there are differences.
- All the statistically significant factors should be included in the logistic regression, for example
coffe consumption, physical activity and analgesics. Also, if you find any statistical significance
in the analysis of the BMI and number of meals when categorised in a dichotomous fashion,
these should be included in the logistic regression as well.
- The limitation paragraph should include only limitation, and not state that this is the first study
in Egypt (already underlined in the discussion.
Title: Prevalence of Gastro-oesophageal reflux disease, and its associated risk factors among
medical students: A nation-based cross-sectional study
Version: 2 Date: 25 Jun 2023
Reviewer's report:
Dear Authors,
I found the paper interesting, mainly because it addresses an important topic and includes a very
high number of a specific population (medical students in Egypt).
However, some issues have to be taken into account and I kindly ask you to answer to them:
- The tables are not clear and are somehow misleading. I would not compare "total" vs.
"yes", meaning GERD population, but I would add the column "No GERD". In this way, the
comparison between the GERD and No-GERD population would be more meaningful and more
easy to read.
- It's difficult to figure out a real statistical differences in some of the variables, because they
are divided into >2 categories. I would keep BMI, Physical activity, analgesics and meals
dichotomous, in order to really understand in there are differences.
- All the statistically significant factors should be included in the logistic regression, for example
coffe consumption, physical activity and analgesics. Also, if you find any statistical significance
in the analysis of the BMI and number of meals when categorised in a dichotomous fashion,
these should be included in the logistic regression as well.
- The limitation paragraph should include only limitation, and not state that this is the first study
in Egypt (already underlined in the discussion.
Please review this paper.
user
Title: Prevalence of Gastro-oesophageal reflux disease, and its associated risk factors among
medical students: A nation-based cross-sectional study
Version: 2 Date: 25 Jun 2023
Reviewer's report:
Dear Authors,
I found the paper interesting, mainly because it addresses an important topic and includes a very
high number of a specific population (medical students in Egypt).
However, some issues have to be taken into account and I kindly ask you to answer to them:
- The tables are not clear and are somehow misleading. I would not compare "total" vs.
"yes", meaning GERD population, but I would add the column "No GERD". In this way, the
comparison between the GERD and No-GERD population would be more meaningful and more
easy to read.
- It's difficult to figure out a real statistical differences in some of the variables, because they
are divided into >2 categories. I would keep BMI, Physical activity, analgesics and meals
dichotomous, in order to really understand in there are differences.
- All the statistically significant factors should be included in the logistic regression, for example
coffe consumption, physical activity and analgesics. Also, if you find any statistical significance
in the analysis of the BMI and number of meals when categorised in a dichotomous fashion,
these should be included in the logistic regression as well.
- The limitation paragraph should include only limitation, and not state that this is the first study
in Egypt (already underlined in the discussion.
assistant