Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study

doi:10.3748/wjg.v31.i13.104466

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 13

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (388)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-7) series, Tables (1-2) series.

Item

Count

PDF

HTML

213

Figures (1-7)

Tables (1-2)

Sum=319

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

Sum=48

Apr 7, 2025 (publication date) through Apr 15, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

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

Retrospective Study

World J Gastroenterol. Apr 7, 2025; 31(13): 104466
Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104466

Table 1 Comparison of the predictive performance of the xTRM-W staging system and the 8^th edition tumor node metastasis staging system

Group	Classification	Likelihood ratio χ²	C-index	AIC value
Training set	xTRM-W	668.580	0.742	12323.976
Training set	pTNM	479.560	0.714	12512.994
Validation set	xTRM-W	324.290	0.666	12489.603
Validation set	pTNM	275.700	0.655	12538.197

TNM: Tumor node metastasis.

Table 2 Comparison of the predictive performance of the xTRM-P staging system and the 8^th edition tumor node metastasis staging system

Group	Classification	Likelihood ratio χ²	C-index	AIC value
Training set	xTRM-P	732.740	0.723	15938.971
Training set	pTNM	559.260	0.704	16112.451
Validation set	xTRM-P	989.680	0.680	34678.546
Validation set	pTNM	893.260	0.680	34774.967

TNM: Tumor node metastasis.

Citation: Zhang YL, Song HB, Xue YW. Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study. World J Gastroenterol 2025; 31(13): 104466
URL: https://www.wjgnet.com/1007-9327/full/v31/i13/104466.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i13.104466