Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	123786
DOI	10.4240/wjgs.123786
Country	China

Category	Surgery
Manuscript Type	Retrospective Cohort Study
Article Title	Development and validation of a postoperative prediction model for residual stones after hepatectomy in patients with hepatolithiasis
Manuscript Source	Unsolicited Manuscript
All Author List	Han-Rui Shao, Di Zeng, Xin Chen, Ya Zhu, Li-Xin Liu, Song-Ling Zhao and Hao Zou
Funding Agency and Grant Number	Funding Agency Grant Number Yunnan Fundamental Research Projects No. 202501AY070001-033 Yunnan Clinical Medicine Center Research Projects No. 2024YNLCYXZX0521
Corresponding Author	Hao Zou, Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, No. 374 Dianmian Avenue, Wu Hua District, Kunming 650106, Yunnan Province, China. haozoukm@163.com
Key Words	Hepatolithiasis; Hepatectomy; Residual stones; Least absolute shrinkage and selection operator-penalized logistic regression; Prediction model
Core Tip	Residual stones remain an important and clinically consequential challenge after hepatectomy for hepatolithiasis, yet individualized tools for early postoperative risk stratification remain limited. In this retrospective cohort of 300 consecutive patients, 12 complete prediction pipelines were rigorously compared using repeated nested cross-validation within the development cohort, and least absolute shrinkage and selection operator-penalized logistic regression was selected before evaluation in a strictly held-out internal validation cohort. The final model retained only four routinely available perioperative predictors: Operative time, bilateral stone distribution, T-tube drainage, and postoperative biliary stricture documented before outcome ascertainment, and achieved an internally validated area under the receiver operating characteristic curve of 0.877 with a Brier score of 0.134 and a negative predictive value of 0.944. Its combination of parsimony, interpretability, low data-acquisition burden, and stable internally validated performance represents a practical strength for postoperative risk stratification. The model may help identify patients who warrant intensified surveillance and earlier imaging assessment, while independent external validation remains necessary before routine clinical implementation.
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; In press DOI: https://doi.org/10.4240/wjgs.123786
PDF	123786-in-press.pdf

Received	2026-06-03 03:26
Peer-Review Started	2026-06-03 03:26
First Decision by Editorial Office Director
Return for Revision	2026-06-24 21:28
Revised	2026-07-22 16:51
Publication Fee Transferred	2026-08-17 15:08
Second Decision by Editor	2026-09-07 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-08 09:39
Articles in Press	2026-09-08 09:39
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9366 (online)
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