title: Prognostic role of NLR in urinary cancers: a meta-analysis.
abstract: BACKGROUND
  Recently, many studies explored the role of inflammation parameters such as neutrophil-to-lymphocyte ratio (NLR) in the prognosis of urinary cancers, but the results were not consistent.
  
  
  METHODS
  We carried out a meta-analysis of published studies to assess the prognostic value of NLR in patients with urinary cancers. Hazard ratio (OR) with 95% confidence interval (CI) was used to assess the association of NLR and OS and RFS/CSS.
  
  
  RESULTS
  The pooled results showed that high NLR was a poor predictor for OS with HR of 1.81 (95%CI: 1.48-2.21; Pheterogeneity = 0.005) and RFS/CSS (HR = 2.07, 95% CI: 1.65-2.6; Pheterogeneity = 0.849). Subgroup analyses revealed that high NLR yielded a worse OS in RCC (HR = 1.9, 95%CI: 1.47-2.45; Pheterogeneity = 0.003) and a poor RFS/CSS in RCC (HR = 1.83, 95%CI: 1.35-2.48; Pheterogeneity = 0.709), bladder cancer (HR = 2.2, 95%CI: 1.27-3.8; Pheterogeneity = 0.447) and urothelial carcinoma (HR = 2.58, 95%CI: 1.66-4.01; Pheterogeneity = 0.784).
  
  
  CONCLUSIONS
  Our results showed that NLR could act as a significant biomarker in the prognosis of urinary cancers.
authors.affiliation: Department of Urology, Gaochun County Hospital, Nanjing, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Wei
authors.affiliation: Department of Urology, Gaochun County Hospital, Nanjing, China.
authors.forename: Ya-Zhi
authors.initials: YZ
authors.lastname: Jiang
authors.affiliation: Department of Urology, Gaochun County Hospital, Nanjing, China.
authors.forename: Wen-Hui
authors.initials: WH
authors.lastname: Qian
mesh_terms: D044466:Asian People; D015415:Biomarkers / Q000032:analysis; D005260:Female; D006801:Humans; D007249:Inflammation / Q000175:diagnosis / Q000208:ethnology / Q000401:mortality / Q000473:pathology; D007958:Leukocyte Count; D018655:Lymphocyte Count; D008214:Lymphocytes / Q000473:pathology*; D008297:Male; D009504:Neutrophils / Q000473:pathology*; D011379:Prognosis; D016016:Proportional Hazards Models; D016019:Survival Analysis; D014571:Urologic Neoplasms / Q000175:diagnosis* / Q000208:ethnology / Q000401:mortality / Q000473:pathology; D044465:White People
chemical_list: D015415:Biomarkers