Reply to Comment on: Big Data or Big Bias? Interpreting Large-Scale Ophthalmic Studies

W e appreciate the insightful comments of Vasu and Dorairaj on our editorial about “big data” in ophthalmology. , Although these databases offer immense research opportunities, it is essential for both researchers and reviewers to develop rigorous study designs and focus on clinically relevant findings. The authors’ emphasis on educating ophthalmology trainees about large data sets is especially valuable. It may be beneficial for residency and fellowship programs to consider didactic sessions on clinical research methods involving big data. In addition, the authors’ idea of establishing “big data” study guidelines is intriguing and warrants serious consideration from the ophthalmic community. We hope that these publications will promote continued dialogue on this subject.

CRediT authorship contribution statement

SWARUP S. SWAMINATHAN: Conceptualization, Writing– original draft, Writing– review & editing. FELIPE A. MEDEIROS: .

Funding/Support: This study received no funding.

Financial Disclosures: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. All authors attest that they meet the current ICMJE criteria for authorship.

References

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Sep 20, 2026 | Posted by in OPHTHALMOLOGY | Comments Off on Reply to Comment on: Big Data or Big Bias? Interpreting Large-Scale Ophthalmic Studies

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