2018
Oncologist volume and outcomes in older adults diagnosed with diffuse large B cell lymphoma
Huntington SF, Hoag JR, Zhu W, Wang R, Zeidan AM, Giri S, Podoltsev NA, Gore SD, Ma X, Gross CP, Davidoff AJ. Oncologist volume and outcomes in older adults diagnosed with diffuse large B cell lymphoma. Cancer 2018, 124: 4211-4220. PMID: 30216436, PMCID: PMC6263848, DOI: 10.1002/cncr.31688.Peer-Reviewed Original ResearchConceptsDiffuse large B-cell lymphomaLarge B-cell lymphomaB-cell lymphomaOlder adultsCell lymphomaPopulation-based cohort analysisHigh-quality cancer careAnthracycline-containing regimenGuideline-adherent therapyHigh-volume providersNumber of patientsLook-back periodCytotoxic regimensSystemic therapyImproved survivalClinical outcomesReduced hospitalizationsLymphoma patientsCancer careCohort analysisMedicare beneficiariesComplex surgeryDLBCL casesLymphomaClinical volume
2016
Intensity of end‐of‐life care for patients with myelodysplastic syndromes: Findings from a large national database
Fletcher SA, Cronin AM, Zeidan AM, Odejide OO, Gore SD, Davidoff AJ, Steensma DP, Abel GA. Intensity of end‐of‐life care for patients with myelodysplastic syndromes: Findings from a large national database. Cancer 2016, 122: 1209-1215. PMID: 26914833, DOI: 10.1002/cncr.29913.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overCause of DeathCritical IllnessDatabases, FactualFemaleHospice CareHumansIntensive Care UnitsLogistic ModelsMaleMultivariate AnalysisMyelodysplastic SyndromesOdds RatioPatient Care TeamQuality of Health CareRetrospective StudiesRisk AssessmentSEER ProgramSex FactorsSurvival AnalysisTerminal CareUnited StatesConceptsMyelodysplastic syndromeDays of lifeHospice enrollmentLife careEnd Results-Medicare databaseIntensive care unit admissionEOL quality measuresIntensity of endIntensity of EOLCare unit admissionTransfusion-dependent patientsLarge national databaseUnit admissionPalliative needsNonwhite patientsRed blood cellsMDS patientsPlatelet transfusionsHospice useEOL careHospice modelMultivariable modelLower oddsPatientsPopulation ages