Publication Name	World Journal of Clinical Oncology
Manuscript ID	126582
DOI	10.5306/wjco.126582
Country	China

Category	Oncology
Manuscript Type	Retrospective Cohort Study
Article Title	Machine learning and logistic regression for ascertainable three-year recurrence status after soft tissue sarcoma surgery
Manuscript Source	Invited Manuscript
All Author List	Zhang-Fu Li, Bai-Cheng Yang, Yi-Bo Liu, Shi-Qing Liu, Qing Zhang and Sheng-Ji Yu
Funding Agency and Grant Number	Funding Agency Grant Number the National Natural Science Foundation of China 82272964 the National High Level Hospital Clinical Research Funding 80102022625
Corresponding Author	Sheng-Ji Yu, Professor, Department of Orthopaedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China. zlyygk@163.com
Key Words	Soft tissue sarcoma; Local recurrence; Machine learning; Clinical prediction model; Nested cross-validation; Calibration; Decision curve analysis
Core Tip	We compared 243 configurations across 14 base-model families plus three prespecified ensembles by repeated nested cross-validation. The selected CatBoost model was frozen and applied without recalibration in a protocol-frozen second-institution re-evaluation. CatBoost retained an area under the receiver operating characteristic curve of 0.8050 but did not demonstrate incremental performance over either a six-variable or full 12-variable logistic model; this was not an equivalence or non-inferiority analysis. The browser interface is provided for reproducibility and independent evaluation, not for clinical decision-making.
Citation	Li ZF, Yang BC, Liu YB, Liu SQ, Zhang Q, Yu SJ. Machine learning and logistic regression for ascertainable three-year recurrence status after soft tissue sarcoma surgery. World J Clin Oncol 2026; In press DOI: https://doi.org/10.5306/wjco.126582
PDF	126582-in-press.pdf

Received	2026-08-10 02:47
Peer-Review Started	2026-08-10 02:48
First Decision by Editorial Office Director
Return for Revision	2026-09-21 02:24
Revised	2026-09-24 06:54
Publication Fee Transferred
Second Decision by Editor	2026-11-02 02:18
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-11-02 02:43
Articles in Press	2026-11-02 02:43
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2218-4333 (online)
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