2024
Is federal housing assistance associated with earlier-stage cancer diagnosis? Evidence from the new SEER-Medicare and US Department of Housing and Urban Development data linkage.
Yabroff R, Blackford A, Fan Q, Hussaini S, Chen K, Polsky D, Katana Ogongo M, Warren J, Gross C, Pollack C. Is federal housing assistance associated with earlier-stage cancer diagnosis? Evidence from the new SEER-Medicare and US Department of Housing and Urban Development data linkage. Journal Of Clinical Oncology 2024, 20: 85-85. DOI: 10.1200/op.2024.20.10_suppl.85.Peer-Reviewed Original ResearchFederal housing assistanceHousing assistanceUS Department of HousingDepartment of HousingSocial determinants of healthDeterminants of healthCancer outcomesSEER-MedicareHousing insecurityCancer diagnosisSocioeconomic status indexSocial determinantsRural/urban residenceAdministrative dataMarital statusLogistic regression modelsHousingYear of diagnosisMedicaid eligibilityCancer sitesData linkagePercentage of individualsMedicare entitlementPre-diagnosisOdds ratio
2023
Disparities in immune and targeted therapy utilization for older US patients with metastatic renal cell carcinoma
Chow R, Long J, Hassan S, Wheeler S, Spees L, Leapman M, Hurwitz M, McManus H, Gross C, Dinan M. Disparities in immune and targeted therapy utilization for older US patients with metastatic renal cell carcinoma. JNCI Cancer Spectrum 2023, 7: pkad036. PMID: 37202354, PMCID: PMC10276895, DOI: 10.1093/jncics/pkad036.Peer-Reviewed Original ResearchConceptsOral anticancer agentsTherapy utilizationMedicare beneficiariesNon-Hispanic white raceMetastatic renal cell carcinomaNon-Hispanic black raceOlder US patientsUS Medicare beneficiariesRenal cell carcinomaLogistic regression modelsTherapy receiptMultivariable adjustmentSystemic therapyMale sexUS patientsCell carcinomaStudy criteriaBlack raceFemale sexPatient raceWhite raceImmunotherapyOutcomes persistSexPatients
2021
Differences by race in systemic oncologic end-of-life (EOL) care among patients with cancer.
Adelson K, Wang X, Ascha M, Miksad R, Showalter T, Calip G, Gross C, Canavan M. Differences by race in systemic oncologic end-of-life (EOL) care among patients with cancer. Journal Of Clinical Oncology 2021, 39: 137-137. DOI: 10.1200/jco.2020.39.28_suppl.137.Peer-Reviewed Original ResearchBlack patientsWhite patientsAggressive EOL careRetrospective cohort studyPractice-level factorsPractice-level characteristicsRacial differencesDe-identified databaseLogistic regression modelsAnti-cancer therapyElectronic health recordsImmunotherapy eraCohort studyICI useOncologic treatmentPayer cohortHigh patientEOL careAdjusted ratesOutcome measuresEOL treatmentMedicaid coveragePatientsPhysician ratioRoutine practiceTrends in end-of- life (EOL) systemic oncologic treatment in contemporary clinical practice: Insights from real-world data.
Canavan M, Wang X, Ascha M, Miksad R, Showalter T, Calip G, Gross C, Adelson K. Trends in end-of- life (EOL) systemic oncologic treatment in contemporary clinical practice: Insights from real-world data. Journal Of Clinical Oncology 2021, 39: 253-253. DOI: 10.1200/jco.2020.39.28_suppl.253.Peer-Reviewed Original ResearchDay of deathReal-world practiceTraditional chemotherapyCancer treatmentStudy periodPractice-level factorsOverall healthcare utilizationSystemic cancer treatmentRates of chemotherapyDays of lifeDe-identified databaseContemporary clinical practiceLogistic regression modelsElectronic health recordsCancer care organizationsSystemic therapySystemic treatmentOncologic treatmentHealthcare utilizationImmune therapyTargeted therapyStratified analysisHigher total costsLife careOncolytic therapyAssociation Between Sexual Orientation, Mistreatment, and Burnout Among US Medical Students
Samuels EA, Boatright DH, Wong AH, Cramer LD, Desai MM, Solotke MT, Latimore D, Gross CP. Association Between Sexual Orientation, Mistreatment, and Burnout Among US Medical Students. JAMA Network Open 2021, 4: e2036136. PMID: 33528552, PMCID: PMC7856540, DOI: 10.1001/jamanetworkopen.2020.36136.Peer-Reviewed Original ResearchConceptsOdds of burnoutAAMC Graduation QuestionnaireMedical studentsSexual orientationAssociated with increased odds of burnoutGraduation QuestionnaireMedical schoolsPoor quality careHeterosexual studentsProbability of burnoutFear of discriminationUS allopathic medical schoolsAssociated with increased oddsExperiences of mistreatmentUS medical studentsAllopathic medical schoolsCross-sectional studyMedical student burnoutLogistic regression modelsSexual minority groupsQuality careOldenburg Burnout Inventory for Medical StudentsLGB sexual orientationTrainee burnoutMain Outcomes
2017
The Impact of Social Contagion on Physician Adoption of Advanced Imaging Tests in Breast Cancer
Pollack CE, Soulos PR, Herrin J, Xu X, Christakis NA, Forman HP, Yu JB, Killelea BK, Wang SY, Gross CP. The Impact of Social Contagion on Physician Adoption of Advanced Imaging Tests in Breast Cancer. Journal Of The National Cancer Institute 2017, 109: djw330. PMID: 28376191, PMCID: PMC6059114, DOI: 10.1093/jnci/djw330.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingBaseline usePositron emission tomography scanEnd Results-MedicareEmission tomography scanBreast cancer practiceImaging modalitiesAdvanced imaging testsHierarchical logistic regression modelsLogistic regression modelsPatient characteristicsUnproven benefitCancer practiceMRI/PETTomography scanBreast cancerMRI useImaging testsClinical practicePET useResonance imagingPET imagingPhysician peersPhysician adoptionBaseline period
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
2004
Participation in Cancer Clinical Trials: Race-, Sex-, and Age-Based Disparities
Murthy VH, Krumholz HM, Gross CP. Participation in Cancer Clinical Trials: Race-, Sex-, and Age-Based Disparities. JAMA 2004, 291: 2720-2726. PMID: 15187053, DOI: 10.1001/jama.291.22.2720.Peer-Reviewed Original ResearchConceptsCancer trialsCancer clinical trialsClinical trialsTrial participantsEnrollment fractionWhite patientsAge groupsCross-sectional population-based analysisProstate cancer clinical trialsCancer research participationCancer trial participantsColorectal cancer trialsPatients 75 yearsIncident cancer patientsLung cancer trialsPopulation-based analysisRelative risk ratiosAge-based disparitiesYears of ageNational Cancer InstituteLogistic regression modelsLittle recent informationTrial enrolleesYounger patientsPatient group