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Dataset Information

Evaluation of selective bone scan staging in prostate cancer - external validation of current strategies and decision-curve analysis.


ABSTRACT:

Background

Recommendations for staging newly diagnosed prostate cancer patients vary between guidelines and literature.

Methods

Our objective was to validate and compare prediction models selecting newly diagnosed prostate cancer patients for bone scan staging. To achieve this, we validated eleven models in a population-based cohort of 10,721 patients diagnosed with prostate cancer between 2005 and 2019. The primary outcome was net-benefit. This was assessed at different balances of conservatism and tolerance, represented by preference ratio and number-willing-to-test (NWT). Secondary outcomes included calibration slope, calibration-in-the-large (intercept), and discrimination measured by Area-under-the-receiver-operator-characteristics curve (AUC).

Results

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SUBMITTER: Hiwase MD 

PROVIDER: S-EPMC9184265 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature