Machine learning predicts cancer-associated venous thromboembolism using clinically available variables in gastric cancer patients.

Heliyon · 2023 · PMC9826862 · PMID 36632097

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only marginally significantno p-value reported

found that D-dimer level was the only marginally significant risk factor associated with VTE development (hazard ratio = 1.32, 95% CI: 1.00–1.75), suggesting that D-dimer could be used as a predictive marker for VTE development in patients with advanced gastric cancer [ 30 ].

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