2025
Association between patient demographics and smoldering multiple myeloma progression to multiple myeloma: A SEER-Medicare data analysis
Theprungsirikul P, Wang R, Ahmad I, Neparidze N, Ma X, Chang S, Wang S. Association between patient demographics and smoldering multiple myeloma progression to multiple myeloma: A SEER-Medicare data analysis. Clinical Lymphoma Myeloma & Leukemia 2025 PMID: 40670211, DOI: 10.1016/j.clml.2025.06.016.Peer-Reviewed Original ResearchSmoldering Multiple MyelomaSmoldering multiple myeloma patientsMultiple myelomaPatient demographicsProgression to multiple myelomaSymptomatic multiple myelomaDevelopment of hypercalcemiaCox proportional hazards modelsRisk stratification modelConfidence intervalsNon-cancer controlsEstimate hazard ratiosProportional hazards modelNon-cancer patientsSymptomatic MMRandom sample of Medicare beneficiariesSMM patientsRenal failureAnalyzed SurveillanceSEER-MedicareNatural history modelHazard ratioBone diseasePatientsSample of Medicare beneficiaries
2016
Trends in end-of-life cancer care in the Medicare program
Wang SY, Hall J, Pollack CE, Adelson K, Bradley EH, Long JB, Gross CP. Trends in end-of-life cancer care in the Medicare program. Journal Of Geriatric Oncology 2016, 7: 116-125. PMID: 26783015, PMCID: PMC5577563, DOI: 10.1016/j.jgo.2015.11.007.Peer-Reviewed Original ResearchConceptsLife cancer careDay of deathAggressive endLife careCancer careHospital deathHospice enrollmentEmergency departmentIntensive care unit admissionEnd Results-Medicare dataAggressiveness of endLate hospice enrollmentLife chemotherapy useCare unit admissionHospital referral regionsResult of cancerProportion of beneficiariesChemotherapy useICU admissionUnit admissionED visitsPatient demographicsTumor characteristicsReferral regionsMedicare beneficiaries
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply