Publication Name	World Journal of Gastroenterology
Manuscript ID	116121
Country	China

Category	Oncology
Manuscript Type	Letter to the Editor
Article Title	Balancing efficacy and toxicity: The critical role of predictive models in colorectal cancer chemotherapy
Manuscript Source	Invited Manuscript
All Author List	Yi-Wei Qin, Peng-Wei Li, Xin-Yi Liang, You Mo and Da-Wei Chen
Funding Agency and Grant Number
Corresponding Author	Da-Wei Chen, MD, Professor, Researcher, Cancer Hospital of Shandong First Medical University (Shandong Cancer Institute, Shandong Cancer Hospital), No. 440 Jiyan Road, Jinan 250000, Shandong Province, China. dave0505@yeah.net
Key Words	Clinic-machine learning nomogram; Efficacy; Toxicity; Colorectal cancer; Chemotherapy
Core Tip	We propose expanding Liu et al’s interpretable machine learning-based nomogram beyond myelosuppression to an integrated efficacy-toxicity platform that simultaneously forecasts tumor response and common multi-organ adverse events. By embedding these dual predictions into a real-time, utility-based clinical decision support system, designed for practical clinical use, clinicians can instantly identify the regimen offering each patient the maximal therapeutic index, thereby optimizing personalized treatment decisions.
Citation	Qin YW, Li PW, Liang XY, Mo Y, Chen DW. Balancing efficacy and toxicity: The critical role of predictive models in colorectal cancer chemotherapy. World J Gastroenterol 2026; In press

Received	2025-11-03 04:31
Peer-Review Started	2025-11-03 04:31
First Decision by Editorial Office Director	2025-12-04 09:24
Return for Revision	2025-12-04 09:24
Revised	2025-12-10 09:22
Publication Fee Transferred
Second Decision by Editor	2026-01-13 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-13 04:32
Articles in Press	2026-01-13 04:32
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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