Prostate health index (PHI) as a reliable biomarker for prostate cancer: a systematic review and meta-analysis

Author:

Agnello Luisa1,Vidali Matteo2ORCID,Giglio Rosaria Vincenza13,Gambino Caterina Maria13,Ciaccio Anna Maria4,Lo Sasso Bruna13,Ciaccio Marcello13

Affiliation:

1. Department of Biomedicine, Neurosciences and Advanced Diagnostics , Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital “P. Giaccone” , Palermo , Italy

2. Foundation IRCCS Ca’ Grande Ospedale Maggiore Policlinico , Milan , Italy

3. Department of Laboratory Medicine , AOUP “P. Giaccone” , Palermo , Italy

4. University Hospital “P. Giaccone” , Palermo , Italy

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3