前列腺健康指数(PHI)作为前列腺癌可靠的生物标志物:一项系统综述和荟萃分析

L. Agnello, M. Vidali, R. V. Giglio, C. M. Gambino, Anna Maria Ciaccio, B. Lo Sasso, M. Ciaccio
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引用次数: 8

摘要

摘要目的前列腺癌(PCa)是世界范围内男性第二大常见实体癌。在过去的几十年里,前列腺健康指数(PHI)成为检测前列腺癌和区分非侵袭性和侵袭性前列腺癌的可靠生物标志物。然而,在将其引入临床实践之前,还需要更多的证据。因此,我们进行了系统回顾和荟萃分析,以评估PHI对PCa的诊断性能和检测临床显著性PCa (csPCa)。方法系统检索PubMed和Web of Science自建校至2022年1月11日的相关文献。结果60项研究,包括14255人,符合我们meta分析的纳入标准。PHI检测PCa的敏感性和特异性分别为0.791 (95%CI 0.739 ~ 0.834)和0.625 (95%CI 0.560 ~ 0.686)。PHI检测csPCa的敏感性和特异性分别为0.874 (95%CI 0.803 ~ 0.923)和0.569 (95%CI 0.458 ~ 0.674)。此外,PCa和csPCa检测的诊断优势比分别为6.302和9.206,表明PHI作为诊断试验的有效性中等至良好。结论PHI对前列腺癌的检测及判别侵袭性和非侵袭性前列腺癌具有较高的准确性。因此,它可以作为一种生物标志物,用于预测患有更严重癌症的患者,并指导活检决策。
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Prostate health index (PHI) as a reliable biomarker for prostate cancer: a systematic review and meta-analysis
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.
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