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Dataset Information

Development and internal validation of a screening tool for chronic prostatitis (S-CP).


ABSTRACT:

Purpose

We developed a simple self-checkable screening tool for chronic prostatitis (S-CP) and internally validated it to encourage men (in the general population) with possible chronic prostatitis to consult urologists.

Methods

The expert panel proposed the S-CP, which comprises three domains: Area of pain or discomfort (6 components), accompanying Symptom (6 components), and Trigger for symptom flares (4 components). We employed logistic regression to predict chronic prostatitis prevalence with the S-CP. We evaluated the predictive performance using data from a representative national survey of Japanese men aged 20 to 84. We calculated the optimism-adjusted area under the curve using bootstrapping. We assessed sensitivity/specificity, likelihood ratio, and predictive value

SUBMITTER: Tohi Y 

PROVIDER: S-EPMC10582131 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature