Methodology for preventing Botulinum toxin-A eyelid ptosis: Risk index derivation, safety rules, and evidence-graded management algorithm

doi:10.5662/wjm.116523

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World Journal of Methodology

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2222-0682

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Evidence Review

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Methodol. Sep 20, 2026; 16(3): 116523
Published online Sep 20, 2026. doi: 10.5662/wjm.116523

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Figure 4 Symptom-onset-anchored management algorithm. Decision tree for Botulinum toxin A eyelid ptosis based on red-flag screening, functional impact, and time since onset, with stepwise escalation and evidence-grade tags. BoNT-A: Botulinum toxin A; MRD: Margin reflex distance; EOM: Extraocular muscles.

Citation: Diab N, Bou Farah E, Berjawi A, Ghorayeb T, Beydoun K, Ghanem S, Hamou A, Tarchichi A, Tlaiss Y. Methodology for preventing Botulinum toxin-A eyelid ptosis: Risk index derivation, safety rules, and evidence-graded management algorithm. World J Methodol 2026; 16(3): 116523
URL: https://www.wjgnet.com/2222-0682/full/v16/i3/116523.htm
DOI: https://dx.doi.org/10.5662/wjm.116523

Diab N, Bou Farah E, Berjawi A, Ghorayeb T, Beydoun K, Ghanem S, Hamou A, Tarchichi A, Tlaiss Y. Methodology for preventing Botulinum toxin-A eyelid ptosis: Risk index derivation, safety rules, and evidence-graded management algorithm. World J Methodol 2026; 16(3): 116523 [DOI: 10.5662/wjm.116523]

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