Why the study?
More evidence was required before introducing the prostate health index into clinical practice for detecting prostate cancer and differentiating aggressive from non-aggressive forms.
Does the prostate health index (PHI) accurately detect prostate cancer and clinically significant prostate cancer?
Does the prostate health index (PHI) accurately detect prostate cancer and clinically significant prostate cancer?
PHI demonstrates high accuracy for detecting prostate cancer and discriminating between aggressive and non-aggressive forms, supporting its potential use to guide biopsy decisions.
Answers are grounded in this paper and cite their sources.
PHI may refine biopsy decisions in prostate screening; extends meta-analytic support for its diagnostic role.
OBJECTIVES: Prostate cancer (PCa) represents the second most common solid cancer in men worldwide. In the last decades, the prostate health index (PHI) emerged as a reliable biomarker for detecting PCa and differentiating between non-aggressive and aggressive forms. However, before introducing it in clinical practice, more evidence is required. Thus, we performed a systematic review and meta-analysis for assessing the diagnostic performance of PHI for PCa and for detecting clinically significant PCa (csPCa). METHODS: Relevant publications were identified by a systematic literature search on PubMed and Web of Science from inception to January 11, 2022. RESULTS: Sixty studies, including 14,255 individuals, met the inclusion criteria for our meta-analysis. The pooled sensitivity and specificity of PHI for PCa detection was 0.791 (95%CI 0.739-0.834) and 0.625 (95%CI 0.560-0.686), respectively. The pooled sensitivity and specificity of PHI for csPCa detection was 0.874 (95%CI 0.803-0.923) and 0.569 (95%CI 0.458-0.674), respectively. Additionally, the diagnostic odds ratio was 6.302 and 9.206, respectively, for PCa and csPCa detection, suggesting moderate to good effectiveness of PHI as a diagnostic test. CONCLUSIONS: PHI has a high accuracy for detecting PCa and discriminating between aggressive and non-aggressive PCa. Thus, it could be useful as a biomarker in predicting patients harbouring more aggressive cancer and guiding biopsy decisions.
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Agnello et al. (2022) studied this question.
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