2022
Survival of nonseminomatous germ cell tumors in pediatric patients and young adults – A stage group stratified analysis
Srivastava A, Patel H, Koehne E, Gupta G, Drachtman R, Pierorazio P, Bagrodia A, Elsamra S, Kim I, Ghodoussipour S, Singer E, Jang T, Patel H, Barone J. Survival of nonseminomatous germ cell tumors in pediatric patients and young adults – A stage group stratified analysis. Urologic Oncology Seminars And Original Investigations 2022, 40: 169.e1-169.e12. PMID: 35144865, PMCID: PMC8960351, DOI: 10.1016/j.urolonc.2021.12.012.Peer-Reviewed Original ResearchConceptsNonseminomatous germ cell tumorsCancer-specific survivalGerm cell tumorsCell tumorsStage groupPediatric patientsAdolescent patientsYoung adultsStage IAdvanced nonseminomatous germ cell tumorsSurvival analysisAge groupsWorse cancer-specific survivalCox proportional hazards modelTesticular germ cell tumorsEnd Results (SEER) databaseExcellent survival outcomesStage III tumorsExcellent oncologic outcomesImportant prognostic factorKaplan-Meier curvesCommon solid malignancyProportional hazards modelNSGCT patientsOncologic outcomes
2021
Trends in the use of administrative databases in urologic oncology: 2000 – 2019.
Leopold Z, Dave P, Menon A, Patel H, Srivastava A, Kim I, Jang T, Singer E. Trends in the use of administrative databases in urologic oncology: 2000 – 2019. Journal Of Clinical Oncology 2021, 39: 356-356. DOI: 10.1200/jco.2021.39.6_suppl.356.Peer-Reviewed Original ResearchNational Surgical Quality Improvement ProgramPremier Healthcare DatabaseNational Cancer DatabaseNationwide Inpatient SampleAdministrative databasesUrologic oncologySEER-MedicareSurgical Quality Improvement ProgramStudy periodEnd Results (SEER) databaseQuality Improvement ProgramRepresentative study populationComparative effectiveness researchResults databaseGenitourinary malignanciesInpatient SampleBladder cancerCancer DatabaseProstate cancerInclusion criteriaStudy populationTreatment trendsAD useHealthcare databasesLarger sample sizeTrends in the use of administrative databases in urologic oncology: 2000–2019
Leopold Z, Dave P, Menon A, Patel H, Srivastava A, Kim I, Jang T, Singer E. Trends in the use of administrative databases in urologic oncology: 2000–2019. Urologic Oncology Seminars And Original Investigations 2021, 39: 487-492. PMID: 33551250, DOI: 10.1016/j.urolonc.2021.01.014.Peer-Reviewed Original ResearchConceptsAdministrative databasesUrologic oncologyNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramPremier Healthcare DatabaseEnd Results (SEER) databaseNational Cancer DatabaseNationwide Inpatient SampleQuality Improvement ProgramRepresentative study populationComparative effectiveness researchGenitourinary malignanciesResults databaseSEER-MedicareInpatient SampleBladder cancerCancer DatabaseProstate cancerInclusion criteriaStudy populationTreatment trendsAD useHealthcare databasesLarger sample sizeStudy period
2020
Abrogation of survival disparity between Black and White individuals after the USPSTF′s 2012 prostate‐specific antigen–based prostate cancer screening recommendation
Kim I, Jang T, Kim S, Modi P, Singer E, Elsamra S, Kim I. Abrogation of survival disparity between Black and White individuals after the USPSTF′s 2012 prostate‐specific antigen–based prostate cancer screening recommendation. Cancer 2020, 126: 5114-5123. PMID: 32888321, DOI: 10.1002/cncr.33179.Peer-Reviewed Original ResearchConceptsUS Preventive Services Task ForceProstate cancerSurvival disparitiesWhite menProstate cancer screening recommendationsBlack menPCa-specific survivalAdverse clinical featuresCancer screening recommendationsEnd Results (SEER) databaseYear of diagnosisProstate-specific antigenClinical featuresScreening recommendationsResults databaseSurvival outcomesGrade CGrade D.White individualsMenRacial discrepanciesSurvivalTask ForceOutcomesTotal