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Dataset Information

Independent validation of a pre-specified four-kallikrein marker model for prediction of adverse pathology and biochemical recurrence.


ABSTRACT:

Background

Accurate markers for prostate cancer (PC) risk stratification could aid decision-making for initial management strategies. The 4Kscore has an undefined role in predicting outcomes after radical prostatectomy (RP).

Methods

We included 1476 patients with 4Kscore measured prior to RP at two institutions. The 4Kscore was assessed for prediction of adverse pathology at RP and biochemical recurrence (BCR) relative to a clinical model. We pre-specified that all analyses would be assessed in biopsy Grade Group 1 (GG1) or 2 (GG2) PC patients, separately.

Results

The 4Kscore increased discrimination for adverse pathology in all patients (delta area under the receiver operative curve (AUC) 0.009, 95% confidence interval (CI) 0.002, 0.016; clinical model AUC 0.767), dr

SUBMITTER: Rasmussen M 

PROVIDER: S-EPMC8980060 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature