2021
Association between percentage of positive biopsy cores and risk of pelvic lymph node involvement in prostate cancer.
Yang D, Dee E, Arega M, Nguyen P, Orio P, King M, Kann B, Yu J, Cook K, Ma T, Kishan A, Muralidhar V. Association between percentage of positive biopsy cores and risk of pelvic lymph node involvement in prostate cancer. Journal Of Clinical Oncology 2021, 39: 205-205. DOI: 10.1200/jco.2021.39.6_suppl.205.Peer-Reviewed Original ResearchPercentage of positive biopsy coresRisk of pelvic lymph node involvementPelvic lymph node involvementLymph node involvementPositive biopsy coresPelvic lymph nodesProstate cancerRadical prostatectomyBiopsy coresNode involvementLymph nodesDefinitive treatment of prostate cancerGleason 9-10 diseasePositive pelvic lymph nodesTreatment of prostate cancerBiopsy Gleason scoreClinicopathological prognostic variablesElective nodal irradiationGleason 8 diseasePathologic nodal evaluationClinical tumor stageNational Cancer DatabaseTime of RPClinically relevant associationMultivariate logistic regression
2015
Association between provider-level factors and lymph node dissection outcomes during radical prostatectomy: A national cancer database analysis.
Kiechle J, Wang E, Yu J, Gross C, Abouassaly R, Cherullo E, Smaldone M, Shah N, Trinh Q, Sun M, Kim S. Association between provider-level factors and lymph node dissection outcomes during radical prostatectomy: A national cancer database analysis. Journal Of Clinical Oncology 2015, 33: 89-89. DOI: 10.1200/jco.2015.33.7_suppl.89.Peer-Reviewed Original ResearchPelvic lymph node dissectionHigh-risk prostate cancerLymph node countRobotic-assisted radical prostatectomyOpen radical prostatectomyRadical prostatectomyProstate cancerLymph nodesSurgical approachHospital characteristicsCommunity hospitalNode countNational Cancer Database AnalysisTime of RPUnderwent radical prostatectomyLymph node dissectionNational Cancer DatabaseLow-volume hospitalsProvider-level factorsPopulation-based cohortAggressive prostate cancerNode dissectionVolume hospitalsPrimary outcomeMultivariable analysis