Por CLS, Shelat VG. Letter to the Editor: Adverse event classification in gastrointestinal endoscopy. World J Gastrointest Endosc 2026; 18(7): 120239 [DOI: 10.4253/wjge.120239]
Corresponding Author of This Article
Vishal G Shelat, Associate Professor, Consultant, FRCS (Gen Surg), Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore. vgshelat@rediffmail.com
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Health Policy & Services
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letter
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Por CLS, Shelat VG. Letter to the Editor: Adverse event classification in gastrointestinal endoscopy. World J Gastrointest Endosc 2026; 18(7): 120239 [DOI: 10.4253/wjge.120239]
World J Gastrointest Endosc. Jul 16, 2026; 18(7): 120239 Published online Jul 16, 2026. doi: 10.4253/wjge.120239
Letter to the Editor: Adverse event classification in gastrointestinal endoscopy
Calista Li Sze Por, Vishal G Shelat
Calista Li Sze Por, Department of General Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
Vishal G Shelat, Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
Author contributions: Por CLS and Shelat VG performed literature retrieval, contributed to conceptualization, writing, and editing the original draft. Both the authors approved the final manuscript.
AI contribution statement: ChatGPT (OpenAI) was used during manuscript preparation for writing assistance, language polishing, and editorial refinement of portions of the manuscript. Grammarly, DeepL, and other AI translation tools were not used. The manuscript was not generated entirely by AI; portions of the main text were AI-assisted and subsequently reviewed, edited, verified, and approved by the authors. AI was not used for data analysis. No AI tool participated in study design, literature selection, interpretation of evidence, or formulation of conclusions. Figure in the manuscript was not generated by AI. The figure contains no patient images, identifiable clinical data, or copyrighted third-party material. The authors take full responsibility for the accuracy, integrity, and final content of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Vishal G Shelat, Associate Professor, Consultant, FRCS (Gen Surg), Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore. vgshelat@rediffmail.com
Received: February 24, 2026 Revised: April 7, 2026 Accepted: June 12, 2026 Published online: July 16, 2026 Processing time: 145 Days and 22.3 Hours
Abstract
Standardized reporting of endoscopy-related adverse events (AE) remains challenging. Definitions, severity thresholds, and attribution windows vary across units, and documentation practices substantially influence observed event rates. A recent registry-based comparison of two AE classification systems illustrates that strong concordance in severity grading does not, in itself, resolve implementation challenges at the boundary between incidents and non-events, nor does it address under-ascertainment. In this letter, we trace the evolution of endoscopy AE nomenclature, from earlier documentation-intensive approaches to contemporary frameworks that prioritize clinical consequence and treatment-based grading. Drawing on external real-world validation data and published commentaries, we argue that endoscopy units should prioritize a dual-stream safety framework: Severity-graded adverse-event reporting for clinically consequential harms, alongside structured capture of incidents and near-misses for prevention-oriented learning. We further highlight the need for procedure-stratified interpretation, explicit documentation of local post-procedural pathways, robust ascertainment workflows, and separate monitoring of diagnostic delay and procedural appropriateness.
Core Tip: Adverse event (AE) grading is useful only when paired with robust documentation and a clear review pathway. A practical model is to track AEs for benchmarking while retaining an incident or near-miss stream for prevention signals, and to measure diagnostic delay and procedural appropriateness with separate indicators rather than forcing them into AE registries.