2023
Association between sociodemographic factors and diagnosis of lethal prostate cancer in early life
Smani S, Novosel M, Sutherland R, Jeong F, Jalfon M, Marks V, Rajwa P, Nolazco J, Washington S, Renzulli J, Sprenkle P, Kim I, Leapman M. Association between sociodemographic factors and diagnosis of lethal prostate cancer in early life. Urologic Oncology Seminars And Original Investigations 2023, 42: 28.e9-28.e20. PMID: 38161105, DOI: 10.1016/j.urolonc.2023.10.005.Peer-Reviewed Original ResearchLethal prostate cancerSociodemographic factorsAdvanced CaPAdvanced diseaseYounger patientsProstate cancerHigher oddsAdvanced stageProstate-specific antigen (PSA) screeningCharacteristics of patientsNational Cancer DatabaseRetrospective cohort studySubset of patientsPatient sociodemographic factorsMultivariable logistic regressionPatients' health insuranceHighest income quartileCohort studyAdvanced cancerAntigen screeningMean ageInsurance statusCancer DatabaseCaP screeningSociodemographic disparitiesAssociations between patient sociodemographic factors and non-treatment for localized prostate cancer.
Novosel M, Smani S, Marks V, Jeong F, Sprenkle P, Leapman M. Associations between patient sociodemographic factors and non-treatment for localized prostate cancer. Journal Of Clinical Oncology 2023, 41: 307-307. DOI: 10.1200/jco.2023.41.6_suppl.307.Peer-Reviewed Original ResearchHigh-risk prostate cancerLocalized prostate cancerAggressive prostate cancerProstate cancerWhite patientsLower oddsDefinitive treatmentRisk strataSociodemographic factorsMean patient ageNational Cancer DatabaseHigh-risk diseasePatient sociodemographic factorsMultivariable logistic regressionClinical risk criteriaPatient ageImproved survivalBlack patientsInitial treatmentRisk diseaseAsian patientsRetrospective studyBlack raceInsurance statusPatient raceAssociation between sociodemographic factors and diagnosis of advanced prostate cancer in early life.
Smani S, Novosel M, Jeong F, Marks V, Sprenkle P, Leapman M. Association between sociodemographic factors and diagnosis of advanced prostate cancer in early life. Journal Of Clinical Oncology 2023, 41: 32-32. DOI: 10.1200/jco.2023.41.6_suppl.32.Peer-Reviewed Original ResearchAdvanced prostate cancerProstate cancerProstate cancer diagnosisSociodemographic factorsAdvanced diseaseYounger patientsNational Cancer DatabaseCancer diagnosisCharacteristics of patientsRetrospective cohort studySubset of patientsLethal prostate cancerMultivariable logistic regressionEarly prostate cancerHighest income quintileCohort studyAdvanced cancerInsurance statusCancer DatabaseSociodemographic disparitiesInclusion criteriaWhite raceGreater oddsPatientsAdvanced stage
2022
Oncologic outcomes of neoadjuvant chemotherapy in patients with micropapillary variant urothelial carcinoma of the bladder
Rahman S, Lokeshwar S, Syed J, Javier-Desloges J, Press B, Choksi A, Rajwa P, Pradere B, Ploussard G, Kim J, Monaghan T, Renzulli J, Shariat S, Leapman M. Oncologic outcomes of neoadjuvant chemotherapy in patients with micropapillary variant urothelial carcinoma of the bladder. Urologic Oncology Seminars And Original Investigations 2022, 41: 107.e1-107.e8. PMID: 36481253, DOI: 10.1016/j.urolonc.2022.09.008.Peer-Reviewed Original ResearchConceptsVariant urothelial carcinomaNeoadjuvant chemotherapySubset of patientsUrothelial carcinomaOverall survivalPathologic responseRadical cystectomyNAC useClinical stage II diseaseHospital-based registry studyNeoadjuvant platinum-based chemotherapyPathologic lymph node positivityCox proportional hazards modelNational Cancer DatabaseStage II diseaseLymph node positivityPathologic complete responsePlatinum-based chemotherapyKaplan-Meier analysisMultivariable logistic regressionAnalysis of patientsBladder urothelial carcinomaProportional hazards modelCT2 diseasePathologic upstagingEnd-of-Life Care for Patients With Metastatic Renal Cell Carcinoma in the Era of Oral Anticancer Therapy
Dzimitrowicz H, Wilson L, Jackson B, Spees L, Baggett C, Greiner M, Kaye D, Zhang T, George D, Scales C, Pritchard J, Leapman M, Gross C, Dinan M, Wheeler S. End-of-Life Care for Patients With Metastatic Renal Cell Carcinoma in the Era of Oral Anticancer Therapy. JCO Oncology Practice 2022, 19: e213-e227. PMID: 36413741, PMCID: PMC9970274, DOI: 10.1200/op.22.00401.Peer-Reviewed Original ResearchConceptsMetastatic renal cell carcinomaOral anticancer agentsDays of lifeRenal cell carcinomaEOL careSystemic therapySEER-MedicareHospital deathCell carcinomaLife careIntensive care unit admissionCancer informationAggressive EOL careHigh-quality EOLOral anticancer therapySystemic therapy useCare unit admissionMultivariable logistic regressionQuality of endUnit admissionED visitsOlder patientsYounger patientsHospital admissionTherapy useFactors associated with the quality of end-of-life care for patients with metastatic renal cell carcinoma.
Dzimitrowicz H, Wilson L, Jackson B, Spees L, Baggett C, Greiner M, Kaye D, Zhang T, George D, Scales C, Pritchard J, Leapman M, Gross C, Dinan M, Wheeler S. Factors associated with the quality of end-of-life care for patients with metastatic renal cell carcinoma. Journal Of Clinical Oncology 2022, 40: 300-300. DOI: 10.1200/jco.2022.40.6_suppl.300.Peer-Reviewed Original ResearchMetastatic renal cell carcinomaOral anti-cancer agentsRenal cell carcinomaSEER-MedicareDays of lifeSystemic therapyICU admissionCell carcinomaOdds ratioLife careSEER-Medicare cohortSystemic therapy useMultivariable logistic regressionUse of hospiceQuality of endHigh-quality endMRCC diagnosisAnti-cancer agentsMost patientsOlder patientsHospital admissionMedian ageTherapy useImmunotherapy treatmentRetrospective study
2021
Accessibility of Telehealth services for cancer care at cancer hospital in the United States.
Marks V, Hsiang W, Nie J, Umer W, Haleem A, Galal B, Pak I, Kim D, Kenney P, Leapman M. Accessibility of Telehealth services for cancer care at cancer hospital in the United States. Journal Of Clinical Oncology 2021, 39: 6535-6535. DOI: 10.1200/jco.2021.39.15_suppl.6535.Peer-Reviewed Original ResearchMultivariable logistic regressionTelehealth servicesCancer typesTelehealth accessTelehealth availabilityNew patientsLogistic regressionCommunity cancer programsNational cross-sectional dataMedicaid Services databaseCare patientsHospital variationCancer HospitalCancer careCancer programsHospital characteristicsCancer sitesBreast cancerMajor cancersAmerican Hospital AssociationPatientsService databaseSkin cancerCancerHospitalAccess to cancer care for Medicaid patients at cancer hospitals in the United States.
Marks V, Hsiang W, Nie J, Buck M, Demkowicz P, Umer W, Haleem A, Galal B, Pak I, Kim D, Kenney P, Leapman M. Access to cancer care for Medicaid patients at cancer hospitals in the United States. Journal Of Clinical Oncology 2021, 39: 6548-6548. DOI: 10.1200/jco.2021.39.15_suppl.6548.Peer-Reviewed Original ResearchMultivariable logistic regressionCancer careAffordable Care ActCancer typesMedicaid acceptanceMedicaid patientsSkin cancerComprehensive community cancer centerLogistic regressionFacility-level differencesCommunity cancer centerBreast cancer careHospital-level variationHospital registry dataFacility-level characteristicsMedicaid Services dataMedicaid accessUnivariable statisticsCancer HospitalCancer CenterRegistry dataAmerican Hospital AssociationNew diagnosisPatientsHospitalChange in facility-level share of Medicaid patients with cancer following implementation of the affordable care act.
Buck M, Demkowicz P, Nie J, Marks V, Salazar M, Kenney P, Boffa D, Leapman M. Change in facility-level share of Medicaid patients with cancer following implementation of the affordable care act. Journal Of Clinical Oncology 2021, 39: e18543-e18543. DOI: 10.1200/jco.2021.39.15_suppl.e18543.Peer-Reviewed Original ResearchProportion of MedicaidAffordable Care ActMedicaid patientsMedicaid expansionFacility-level changesFacility-level policiesNational Cancer DatabasePrimary study endpointProportion of patientsInsurance coverageMultivariable logistic regressionExpansion statesCare ActFacility-level factorsMedicaid expansion statesNon-expansion statesAdult patientsStudy endpointAdjusted differenceCancer DatabaseMedicaid populationEligible facilitiesPatientsCancerLogistic regression
2019
Real-world practice patterns and impact of PD-L1 expression testing in patients with advanced non-small cell lung cancer.
Leapman M, Presley C, Zhu W, Soulos P, Adelson K, Boffa D, Gross C. Real-world practice patterns and impact of PD-L1 expression testing in patients with advanced non-small cell lung cancer. Journal Of Clinical Oncology 2019, 37: 9059-9059. DOI: 10.1200/jco.2019.37.15_suppl.9059.Peer-Reviewed Original ResearchAdvanced non-small cell lung cancerPD-L1 expression testingFirst-line therapyNon-small cell lung cancerPD-L1 expressionPD-L1 testingCell lung cancerLung cancerFlatiron Health electronic health record-derived databaseElectronic health record-derived databaseCell death ligand 1 (PD-L1) expressionFDA approvalDeath ligand 1 (PD-L1) expressionReal-world practice patternsFirst-line treatmentLigand 1 expressionProportion of patientsMonths of diagnosisReal-world careMultivariable logistic regressionCommunity oncology practicesCompanion diagnostic testingExpression testingIdentifiable driver mutationsLine treatment