Simplified scores were then allocated to each patient according to the presence 1 point and absence 0 point of high-risk variables in the nomogram.
The current study aimed to construct a prognostic scoring model for mortality risk stratification in patients with advanced gastric carcinoma.
Instead of molecular or genetic variations, variables derived from routine clinical data can be integrated into prognostic models.
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ALB and LDH levels were also divided into two binary categorical variables with cut-off values of 38 and 220, respectively.
The best cut-off values of the total score were determined using the X-tile software with adjustment.
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P values less than 0.