Predicting Residual Astigmatism in Cataract Surgery

Round 1

Reviewer 1 Report

In this manuscript, the author has evaluated the parameters and their specificity towards predicting residual astigmatism. The author has signified the importance of prediction using total corneal astigmatism measured by anterior segment OCT including preoperative dry eye evaluation. Overall, the manuscript is well written and addressed a lacuna for predicting residual astigmatism with emphasis on preoperative vector analysis of astigmatism for predicting residual astigmatism by regression equation.

Author Response

I appreciate the insightful comments of Reviewer 1.

Reviewer 1 Comments

In this manuscript, the author has evaluated the parameters and their specificity towards predicting residual astigmatism. The author has signified the importance of prediction using total corneal astigmatism measured by anterior segment OCT including preoperative dry eye evaluation. Overall, the manuscript is well written and addressed a lacuna for predicting residual astigmatism with emphasis on preoperative vector analysis of astigmatism for predicting residual astigmatism by regression equation.

- Thank you very much for your compliment.

I thank Reviewer 1 again for the valuable comments.

I hope that the revised paper meets your approval and will be more suitable for publication in the Vision.

Reviewer 2 Report

Management of postoperative residual astigmatism is an essential step to improve postoperative uncorrected visual acuity after cataract surgery. This review summarized the methods for predicting astigmatism correction, and factors that affect prediction accuracy. Overall, it's well organized and written. 

Author Response

I appreciate the insightful comments of Reviewer 2.

Reviewer 2 Comments

Management of postoperative residual astigmatism is an essential step to improve postoperative uncorrected visual acuity after cataract surgery. This review summarized the methods for predicting astigmatism correction, and factors that affect prediction accuracy. Overall, it's well organized and written.

- Thank you very much for your compliment.

I thank Reviewer 2 again for the valuable comments.

I hope that the revised paper meets your approval and will be more suitable for publication in the Vision.