Development and validation of a postoperative prediction model for residual stones after hepatectomy in patients with hepatolithiasis

doi:10.4240/wjgs.123786

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World Journal of Gastrointestinal Surgery

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1948-9366

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

Retrospective Cohort Study

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 Gastrointest Surg. Nov 27, 2026; 18(11): 123786
Published online Nov 27, 2026. doi: 10.4240/wjgs.123786

Table 1 Cohort partition and analytical role

Cohort	Patients (n)	Events (n)	Non-events (n)	Event rate (%)	Analytical role
Overall analytic cohort	300	82	218	27.3	Source population for development and internal validation
Development cohort	211	58	153	27.5	Repeated nested-CV pipeline comparison and selection; full-development fitting of the selected pipeline; OOF threshold derivation
Validation cohort	89	24	65	27.0	Untouched until one-time evaluation of the locked model and threshold

OOF: Out-of-fold; CV: Cross-validation.

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Citation: Shao HR, Zeng D, Chen X, Zhu Y, Liu LX, Zhao SL, Zou H. Development and validation of a postoperative prediction model for residual stones after hepatectomy in patients with hepatolithiasis. World J Gastrointest Surg 2026; 18(11): 123786
URL: https://www.wjgnet.com/1948-9366/full/v18/i11/123786.htm
DOI: https://dx.doi.org/10.4240/wjgs.123786

Shao HR, Zeng D, Chen X, Zhu Y, Liu LX, Zhao SL, Zou H. Development and validation of a postoperative prediction model for residual stones after hepatectomy in patients with hepatolithiasis. World J Gastrointest Surg 2026; 18(11): 123786 [DOI: 10.4240/wjgs.123786]

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