title: [Prostate health index in predicting the results of prostate biopsy for prostate cancer: a meta-analysis].
abstract: OBJECTIVE
  To systematically evaluate prostate health index (PHI) in predicting the results of prostate biopsy in the diagnosis of prostate cancer.
  
  
  METHODS
  We retrieved the literature relevant to the value of PHI in predicting prostate cancer at prostate biopsy published from the inception to February 2014 in the databanks of PubMed (1966 - 2014), CNKI (1982 - 2014), VIP (1989 - 2014), and Cochrane Library (1999 - 2014). According to the inclusion and exclusion criteria and retrieval strategies, we extracted the data, evaluated the quality of the included literature, and performed meta-analysis using the Meta-Disc 1.4 software.
  
  
  RESULTS
  Totally, 64 articles were identified, of which 52 were excluded and 12 included with 1 430 cases of prostate cancer and 2 159 normal or BPH controls. There was heterogeneity among the included studies. Based on the random effect model, in predicting the results of prostate biopsy in the diagnosis of prostate cancer, serum PHI exhibited a pooled sensitivity of 55.1% (95% CI: 0.525 - 0.577), a pooled specificity of 71.5% (95% CI: 0.695 - 0.734), a positive likelihood ratio (P-LR) of 2.379 (95% CI: 1.922 - 2.943), a negative likelihood ratio (N-LR) of 0.515 (95% CI: 0.428 - 0.619), a diagnosis odds ratio (DOR) of 5.268 (95% CI: 3.870 - 7.170), a summary receiver operating characteristic curve--area under the curve (SROC AUC) of 0.7578, and a Q * index of 0.6999.
  
  
  CONCLUSIONS
  Serum PHI plays a role of auxiliary diagnosis in detecting prostate cancer and can be used in the prediction of the results of prostate biopsy.
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
authors.forename: Yong
authors.initials: Y
authors.lastname: Xu
authors.forename: Zhi-Hong
authors.initials: ZH
authors.lastname: Zhang
authors.forename: Kuo
authors.initials: K
authors.lastname: Yang
mesh_terms: D000368:Aged; D001707:Biopsy, Needle; D006801:Humans; D008297:Male; D008875:Middle Aged; D011467:Prostate / Q000473:pathology*; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000473:pathology