2019
Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis
Zeidan AM, Podoltsev NA, Wang X, Bewersdorf JP, Shallis RM, Huntington SF, Gore SD, Davidoff AJ, Ma X, Wang R. Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis. Cancer 2019, 125: 4241-4251. PMID: 31483484, PMCID: PMC7733320, DOI: 10.1002/cncr.32439.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaTime of diagnosisOlder patientsActive treatmentMyeloid leukemiaMultivariable logistic regression modelMedian overall survivalPercentage of patientsLow-intensity therapyMajority of patientsNovel therapeutic optionsQuality of careLogistic regression modelsIntensity therapyTherapy receiptOverall survivalWorse survivalClinical factorsInferior survivalEntire cohortTherapeutic optionsPatient populationRetrospective analysisHigher oddsProvider characteristicsUnderutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States
Giri S, Zhu W, Wang R, Zeidan A, Podoltsev N, Gore SD, Neparidze N, Ma X, Gross CP, Davidoff AJ, Huntington SF. Underutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States. Cancer 2019, 125: 4084-4095. PMID: 31381151, DOI: 10.1002/cncr.32428.Peer-Reviewed Original ResearchConceptsBone-modifying drugsSupportive careMultiple myelomaInfluenza vaccinationAntiviral prophylaxisOlder adultsLower oddsEnd Results-Medicare databaseNon-Hispanic black patientsMultivariable logistic regression modelBaseline renal impairmentSupportive care useTreatment-related toxicityFacility-level characteristicsNon-Hispanic blacksOutcomes of interestCommunity-based settingsLogistic regression modelsRenal impairmentActive treatmentBlack patientsCare useConcomitant useProphylactic antiviralsReduced odds
2015
Use of an Electronic Medical Record (EMR) Database to Identify a Real-World Cohort of US Patients (Pts) with Myelodysplastic Syndromes (MDS)
Ma X, Swern A, Kiselev P, Fliss A, Lu J, Scott B, Steensma D, Sugrue M. Use of an Electronic Medical Record (EMR) Database to Identify a Real-World Cohort of US Patients (Pts) with Myelodysplastic Syndromes (MDS). Blood 2015, 126: 3319. DOI: 10.1182/blood.v126.23.3319.3319.Peer-Reviewed Original ResearchDiagnosis of MDSICD-9-CM codesReal-world cohortMyelodysplastic syndromeActive treatmentEMR databaseFinal cohortInitial cohortCelgene CorporationBaseline characteristicsSupportive careSupportive treatmentTreatment patternsClinical trialsSEER programInclusion criteriaReal-world clinical practiceElectronic medical record databaseClinical Modification codesPopulation-based surveillanceEnd Results ProgramPrimary care physiciansCancer outcomes researchBone marrow aspirateClinical practice data