Combination of Naples prognostic score and pathological factors for evaluating the long-term prognosis of patients with late-onset colorectal cancer: a multicenter machine learning study

The ML-based nomogram, incorporating NPS, PLR, and clinicopathological factors, effectively predicts long-term OS in patients with LOCRC and can provide a cost-efficient prognostic tool for clinical practice.

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Publication Details

Journal
Translational Cancer Research
Published
2025-12-01
DOI
https://doi.org/10.21037/tcr-2025-1795
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
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article

Combination of Naples prognostic score and pathological factors for evaluating the long-term prognosis of patients with late-onset colorectal cancer: a multicenter machine learning study

W Liu, Yanhong Yang, Tawfik Ali Hamood Alburiahi, Lei Liang et al.
Translational Cancer Research
Colorectal Cancer Screening and Detection
article

Combination of Naples prognostic score and pathological factors for evaluating the long-term prognosis of patients with late-onset colorectal cancer: a multicenter machine learning study

W Liu, Yanhong Yang, Tawfik Ali Hamood Alburiahi, Lei Liang, Wanrong Lin, Jun Yang, Xin Li
article en

Abstract

The ML-based nomogram, incorporating NPS, PLR, and clinicopathological factors, effectively predicts long-term OS in patients with LOCRC and can provide a cost-efficient prognostic tool for clinical practice.

Translational Cancer ResearchVol. 14(12)
Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN)
Good health and well-being
Openalex Percentile: Top 29%
Colorectal Cancer Screening and Detection
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