Surgical margin status and its impact on prostate cancer prognosis after radical prostatectomy: a meta-analysis

Background and purpose Positive surgical margins (PSMs) correlate with adverse outcomes in numerous solid tumours. However, the prognostic value of PSMs in prostate cancer (PCa) patients who underwent radical prostatectomy remains unclear. Herein, we performed a meta-analysis to evaluate the associa...

Full description

Saved in:
Bibliographic Details
Published in:World journal of urology 2018-11, Vol.36 (11), p.1803-1815
Main Authors: Zhang, Lijin, Wu, Bin, Zha, Zhenlei, Zhao, Hu, Yuan, Jun, Jiang, Yuefang, Yang, Wei
Format: Article
Language:English
Subjects:
Cancer surgery
Medical prognosis
Medicine
Medicine & Public Health
Meta-analysis
Mortality
Nephrology
Oncology
Original
Original Article
Prostate cancer
Prostatectomy
Solid tumors
Survival
Urological surgery
Urology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background and purpose Positive surgical margins (PSMs) correlate with adverse outcomes in numerous solid tumours. However, the prognostic value of PSMs in prostate cancer (PCa) patients who underwent radical prostatectomy remains unclear. Herein, we performed a meta-analysis to evaluate the association between PSMs and the prognostic value for biochemical recurrence-free survival (BRFS), cancer-specific survival (CSS), overall survival (OS), cancer-specific mortality (CSM) and overall mortality (OM) in PCa patients. Materials and methods According to the PRISMA statement, online databases PubMed, EMBASE and Web of Science were searched to identify relevant studies published prior to February 2018. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated to evaluate the relationship between PSMs and PCa. Results Ultimately, 32 cohort studies that met the eligibility criteria and involved 141,222 patients (51–65,633 per study) were included in this meta-analysis. The results showed that PSMs were significantly predictive of poorer BRFS (HR = 1.35, 95% CI 1.28–1.48, p  
ISSN:0724-4983
1433-8726
DOI:10.1007/s00345-018-2333-4