Predicting three-year risk of incident colorectal precancerous conditions using non-invasive predictors and machine-learning algorithms: A multi-center retrospective study

doi:10.3748/wjg.121223

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World Journal of Gastroenterology

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1007-9327

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

Retrospective 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 Gastroenterol. Dec 14, 2026; 32(46): 121223
Published online Dec 14, 2026. doi: 10.3748/wjg.121223

Table 2 Predictors selected by the least absolute shrinkage and selection operator procedure

Lambda	Number of non-zero coefficient	Cross-validation mean deviance	Variables (A)dded, (R)emoved, or left (U)nchanged lambda
0.0513	1	0.5032	A	STK1p
0.0388	2	0.4959	A	CA19-9
0.0294	3	0.4938	A	CYFRA21-1
0.0268	4	0.4936	A	DBP
0.0153	5	0.4805	A	Age
0.0088	6	0.4764	A	FIT positive
0.0073¹	7	0.4762	A	Sex

¹Lambda selected by the minimum cross-validation mean deviance.

CA19-9: Carbohydrate antigen 19-9; CYFRA21-1: Cytokeratin 19 fragment; DBP: Diastolic blood pressure; FIT: Fecal immunochemical test; STK1p: Serum thymidine kinase 1 protein.

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Citation: Huang XY, Zhao L, He H, Peng R, Xue H, Lai SM, Wu WX, Qiu XX, Cai XH, He JH, Qin WJ, Zhou WT, Wu WQ, Lin YP. Predicting three-year risk of incident colorectal precancerous conditions using non-invasive predictors and machine-learning algorithms: A multi-center retrospective study. World J Gastroenterol 2026; 32(46): 121223
URL: https://www.wjgnet.com/1007-9327/full/v32/i46/121223.htm
DOI: https://dx.doi.org/10.3748/wjg.121223

Huang XY, Zhao L, He H, Peng R, Xue H, Lai SM, Wu WX, Qiu XX, Cai XH, He JH, Qin WJ, Zhou WT, Wu WQ, Lin YP. Predicting three-year risk of incident colorectal precancerous conditions using non-invasive predictors and machine-learning algorithms: A multi-center retrospective study. World J Gastroenterol 2026; 32(46): 121223 [DOI: 10.3748/wjg.121223]

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