2020
National trends in the management of patients with positive surgical margins at radical prostatectomy
Ghabili K, Park HS, Yu JB, Sprenkle PC, Kim SP, Nguyen KA, Ma X, Gross CP, Leapman MS. National trends in the management of patients with positive surgical margins at radical prostatectomy. World Journal Of Urology 2020, 39: 1141-1151. PMID: 32562045, DOI: 10.1007/s00345-020-03298-6.Peer-Reviewed Original ResearchConceptsAndrogen deprivation therapyPositive surgical marginsUse of ADTPost-prostatectomy radiation therapyRadiation therapySurgical marginsRadical prostatectomyInitial courseNode-negative prostate cancerPost-operative radiation therapyMultivariable logistic regression modelNational Cancer DatabaseAdverse pathologic featuresManagement of patientsPost-operative managementLogistic regression modelsDeprivation therapySurgical cancersPrimary endpointRT useSecondary endpointsPathologic characteristicsPathologic featuresUninsured statusCancer Database
2018
National trends in the management of patients with positive surgical margins at the time of radical prostatectomy.
Ghabili K, Nguyen K, Hsiang W, Syed J, Suarez-Sarmiento A, Shuch B, Park H, Yu J, Leapman M. National trends in the management of patients with positive surgical margins at the time of radical prostatectomy. Journal Of Clinical Oncology 2018, 36: 111-111. DOI: 10.1200/jco.2018.36.6_suppl.111.Peer-Reviewed Original ResearchAdjuvant radiation therapyAndrogen deprivation therapyPositive surgical marginsNational Cancer DatabaseAdjuvant therapyRadical prostatectomyRadiation therapyProstate cancerPathologic featuresSurgical marginsAddition of ADTAdjuvant androgen deprivation therapyStudy periodPre-treatment PSAPrimary definitive treatmentMajority of patientsManagement of patientsGleason grade groupCourse of managementOptimal management approachNon-academic facilitiesLogistic regression modelsBinary logistic regression modelAnalysis menDeprivation therapy
2016
Genomic predictors of biochemical failure following radical prostatectomy.
Aneja S, Yu J, Glazer P. Genomic predictors of biochemical failure following radical prostatectomy. Journal Of Clinical Oncology 2016, 34: 114-114. DOI: 10.1200/jco.2016.34.2_suppl.114.Peer-Reviewed Original ResearchPathologic T stageGleason 7 diseaseBiochemical failureRadical prostatectomyT stageProstate adenocarcinomaClinical dataPredictors of BFAggressive regional therapyClinical patient characteristicsPre-treatment PSARNA expressionStratification of patientsHierarchical logistic regression modelsLogistic regression modelsMedian followAggressive therapyPatient characteristicsCancer Genome AtlasExpression of TP53Gleason 7Median ageRegional therapyGleason scoreClinical correlates
2014
Perceptions of radiation oncologists and urologists on the type of evidence that informs and changes the clinical practice of prostate cancer.
Delpe S, Shah N, Tilburt J, Karnes R, Nguyen P, Shuch B, Gross C, Schulam P, Yu J, Ziegenfuss J, Kim S. Perceptions of radiation oncologists and urologists on the type of evidence that informs and changes the clinical practice of prostate cancer. Journal Of Clinical Oncology 2014, 32: 167-167. DOI: 10.1200/jco.2014.32.4_suppl.167.Peer-Reviewed Original ResearchLevel of evidenceProstate cancerSpecialty-specific journalsRadiation oncologistsTreatment recommendationsClinical practiceClinical guidelinesMultivariable logistic regression modelLocalized prostate cancerNew treatment paradigmProstate cancer specialistsProstate cancer treatmentLogistic regression modelsNational survey studySurvey response ratePhysician characteristicsTreatment paradigmCancer specialistsResponse rateOncologistsUrologistsCancerCancer treatmentRCTsCancer journals
2012
The influence of physician densities and patient characteristics on the decision to treat prostate cancer patients with varying clinical benefit.
Yu J, Aneja S, Makarov D, Roberts K, Gross C. The influence of physician densities and patient characteristics on the decision to treat prostate cancer patients with varying clinical benefit. Journal Of Clinical Oncology 2012, 30: 19-19. DOI: 10.1200/jco.2012.30.5_suppl.19.Peer-Reviewed Original ResearchHealth system factorsHealth service areasCurative therapyUrologist densityClinical benefitProstate cancerRadiation oncologistsPhysician densitySystem factorsRadiation oncologist densityEnd Results (SEER) databaseLower likelihoodReceipt of treatmentMarital statusProstate cancer patientsHigher likelihoodLogistic regression modelsArea Resource FilePatient characteristicsPatient factorsInitial treatmentResults databasePatient populationCancer patientsProper therapyThe influence of regional radiation oncologist and urologist capacities on treatment choice for prostate cancer management.
Yu J, Aneja S, Makarov D, Roberts K, Gross C. The influence of regional radiation oncologist and urologist capacities on treatment choice for prostate cancer management. Journal Of Clinical Oncology 2012, 30: 108-108. DOI: 10.1200/jco.2012.30.5_suppl.108.Peer-Reviewed Original ResearchHealth service areasOnly surgical treatmentSurgical treatmentHealth system characteristicsProstate cancer managementTreatment choiceCancer managementRadiation oncologistsRadiation oncologist densityEnd Results (SEER) databaseSeparate logistic regression modelsHealth system dataLogistic regression modelsArea Resource FileUse of RTUrologist densityHospital densityPatient factorsResults databaseSurgical interventionUrology serviceTreatment modalitiesProstate cancerNCI's SurveillanceRadiation therapy