Abstract
3556 Background: The degree of LN involvement is one of the most important prognostic factors in CC. Current staging does not consider the number of total LN examined (TLN) and its predictive ability of nodal associated disease RC. Our aim was to develop a RC model based on LNR with internal and external validation. Methods: Individual patient (pt) data from 18 randomized clinical trials were used. LNR is defined as number of positive LNs divided by number of TLN. The primary endpoint was disease-free survival (DFS). The development dataset consisted of pts receiving 5FU based chemotherapy only. This dataset was randomly split into a training set (6848 pt) and an internal validation set (4952 pt). Pts receiving surgery alone (951 pt) and 5FU plus other agents (oxaliplatin, irinotecan, or oral-based) (3674 pt) comprised two external validation populations. Optimal cutoffs were selected based on Cox model goodness of fit. Validation was based on two key aspects of a predication model - discrimination (c sta...
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