Reviewer's report
Title:Risk Score to Predict Gastrointestinal Bleeding after Acute Ischemic Stroke
Version:2Date:10 June 2014
Reviewer: Siddharth Singh
Reviewer's report:
In this large cohort study, Ji and colleagues have derived and validated a risk
prediction tool for predicting in-hospital risk of gastrointestinal bleeding after
acute stroke. Their model, based on 18 variables, has a modest discriminatory
ability with an AUC of 0.76-0.79.
Overall, this is a well-designed and reported manuscript on a clinically important
topic. The investigators have used commonly available information to derive a
prediction model and subsequently validated it both internal and externally. While
the model has modest discriminatory ability, its ease of applicability would better
risk stratification for use in clinical practice.
Minor Revisions:
- It may be helpful to emphasize the modest discriminatory capability of this tool
for readers who may not be able to interpret an AUC of 0.76-0.79, and based on
this conclusions may be tempered down a little. However, the ease of
applicability in clinical practice can be highlighted.
- Was data on most comorbidities and pre-existing conditions derived from chart
review or patient self-report? The reliability of using either should be discussed
as a limitation. It is possible that patients, especially those with stroke may not
recall a history of previous GI bleed, and this may not be well-captured in the
medical chart.
Discretionary revisions:
- What proportion of patients were on PPI or H2RA at time of presentation?
Level of interest: An article of importance in its field
Quality of written English: Acceptable
Statistical review: Yes, but I do not feel adequately qualified to assess the
statistics.
Declaration of competing interests:
I declare that I have no competing interests
Reviewer's report
Title:Risk Score to Predict Gastrointestinal Bleeding after Acute Ischemic Stroke
Version:2Date:10 June 2014
Reviewer: Siddharth Singh
Reviewer's report:
In this large cohort study, Ji and colleagues have derived and validated a risk
prediction tool for predicting in-hospital risk of gastrointestinal bleeding after
acute stroke. Their model, based on 18 variables, has a modest discriminatory
ability with an AUC of 0.76-0.79.
Overall, this is a well-designed and reported manuscript on a clinically important
topic. The investigators have used commonly available information to derive a
prediction model and subsequently validated it both internal and externally. While
the model has modest discriminatory ability, its ease of applicability would better
risk stratification for use in clinical practice.
Minor Revisions:
- It may be helpful to emphasize the modest discriminatory capability of this tool
for readers who may not be able to interpret an AUC of 0.76-0.79, and based on
this conclusions may be tempered down a little. However, the ease of
applicability in clinical practice can be highlighted.
- Was data on most comorbidities and pre-existing conditions derived from chart
review or patient self-report? The reliability of using either should be discussed
as a limitation. It is possible that patients, especially those with stroke may not
recall a history of previous GI bleed, and this may not be well-captured in the
medical chart.
Discretionary revisions:
- What proportion of patients were on PPI or H2RA at time of presentation?
Level of interest: An article of importance in its field
Quality of written English: Acceptable
Statistical review: Yes, but I do not feel adequately qualified to assess the
statistics.
Declaration of competing interests:
I declare that I have no competing interests
Please review this paper.
user
Reviewer's report
Title:Risk Score to Predict Gastrointestinal Bleeding after Acute Ischemic Stroke
Version:2Date:10 June 2014
Reviewer: Siddharth Singh
Reviewer's report:
In this large cohort study, Ji and colleagues have derived and validated a risk
prediction tool for predicting in-hospital risk of gastrointestinal bleeding after
acute stroke. Their model, based on 18 variables, has a modest discriminatory
ability with an AUC of 0.76-0.79.
Overall, this is a well-designed and reported manuscript on a clinically important
topic. The investigators have used commonly available information to derive a
prediction model and subsequently validated it both internal and externally. While
the model has modest discriminatory ability, its ease of applicability would better
risk stratification for use in clinical practice.
Minor Revisions:
- It may be helpful to emphasize the modest discriminatory capability of this tool
for readers who may not be able to interpret an AUC of 0.76-0.79, and based on
this conclusions may be tempered down a little. However, the ease of
applicability in clinical practice can be highlighted.
- Was data on most comorbidities and pre-existing conditions derived from chart
review or patient self-report? The reliability of using either should be discussed
as a limitation. It is possible that patients, especially those with stroke may not
recall a history of previous GI bleed, and this may not be well-captured in the
medical chart.
Discretionary revisions:
- What proportion of patients were on PPI or H2RA at time of presentation?
Level of interest: An article of importance in its field
Quality of written English: Acceptable
Statistical review: Yes, but I do not feel adequately qualified to assess the
statistics.
Declaration of competing interests:
I declare that I have no competing interests
assistant