ArticleInternational urology and nephrology2013
Validation of the prognostic value of lymph node ratio in patients with penile squamous cell carcinoma: a population-based study.
Article in International urology and nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A laparoscopic radical inguinal lymphadenectomy approach partly preserving great saphenous vein branches can benefit for patients with penile carcinoma.BMC surgery · 2022Article
- The prognostic value of lymph node ratio in comparison to positive lymph node count in penile squamous cell carcinoma.International urology and nephrology · 2021Article
- Impact of Examined Lymph Node Count and Lymph Node Density on Overall Survival of Penile Cancer.Frontiers in oncology · 2021Article
- Lymph node density predicts recurrence and death after inguinal lymph node dissection for penile cancer.Investigative and clinical urology · 2017Article
- Development of a New Classification Method for Penile Squamous Cell Carcinoma Based on Lymph Node Density and Standard Pathological Risk Factors: The ND Staging System.Journal of Cancer · 2016Article
- Modification of N staging systems for penile cancer: a more precise prediction of prognosis.British journal of cancer · 2015Article
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3 authors.
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Abstract
purposeThe aim of this study was to validate the prognostic value of lymph node ratio (LNR), the proportion of metastatic among removed lymph nodes, for patients with penile squamous cell carcinoma in a population-based database.
methodsA total of 210 eligible patients with node-positive disease were identified from the surveillance epidemiology end results database. Cancer-specific survival (CSS) was the clinical outcome of interest. The prognostic ability of LNR was assessed by Cox regression analyses. Logrank test was used to compare CSS between low-risk and high-risk groups stratified by cutoff points of LNR.
resultsThe median number of LNs removed was 16, and the median value of LNR was 0.20. First, LNR was a significant prognostic factor of CSS in univariate analysis (HR = 4.08). Second, LNR retained independent predictive ability (HR = 6.74) in the multivariate model including demographic data, disease characteristics and number-based LN variables. Addition of LNR remarkably improved the predictive accuracy and clinical usefulness of the survival model. Third, maximum stratification of CSS can be achieved at the cutoff point of 0.33.
conclusionIn the population-based study, LNR outperformed number-based LN variables for predicting CSS of node-positive penile cancer. The ratio-based prognostic factor stresses the important role of adequate LND and identification of metastatic LNs in the community setting.
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