©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Dec 16, 2024; 12(35): 6848-6850
Published online Dec 16, 2024. doi: 10.12998/wjcc.v12.i35.6848
Published online Dec 16, 2024. doi: 10.12998/wjcc.v12.i35.6848
Understanding network meta-analysis
Sunny Chi Lik Au, Department of Ophthalmology, Tung Wah Eastern Hospital, Hong Kong 999077, China
Author contributions: Au SCL designed the research, acquired the data, performed the analysis and interpretation of data, and drafted and revised the article; the author read and approved the final version of the manuscript to be published.
Conflict-of-interest statement: The author declares no conflict of interest in publishing the manuscript.
Corresponding author: Sunny Chi Lik Au, MBChB, Chief Doctor, Surgeon, Department of Ophthalmology, Tung Wah Eastern Hospital, Lo Ka Chow Memorial Ophthalmic Centre, No. 19 Eastern Hospital Road, Causeway Bay, Hong Kong 999077, China. kilihcua@gmail.com
Received: March 13, 2024
Revised: September 22, 2024
Accepted: October 8, 2024
Published online: December 16, 2024
Processing time: 224 Days and 19.2 Hours
Revised: September 22, 2024
Accepted: October 8, 2024
Published online: December 16, 2024
Processing time: 224 Days and 19.2 Hours
Core Tip
Core Tip: Network meta-analysis stands as a potent instrument for comparative research of three or more. It surpasses pair-wise meta-analysis in complexity. Additionally, supplementary analyses, such as network meta-regression further elevate the intricacy of the analysis.