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 characteristics
2018
Selection of patients with myelodysplastic syndromes from a large electronic medical records database and a study of the use of disease-modifying therapy in the United States
Ma X, Steensma DP, Scott BL, Kiselev P, Sugrue MM, Swern AS. Selection of patients with myelodysplastic syndromes from a large electronic medical records database and a study of the use of disease-modifying therapy in the United States. BMJ Open 2018, 8: e019955. PMID: 30037860, PMCID: PMC6059277, DOI: 10.1136/bmjopen-2017-019955.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAnemiaAzacitidineDatabases, FactualDecitabineElectronic Health RecordsEnzyme InhibitorsFemaleHematinicsHumansImmunologic FactorsIron Chelating AgentsLenalidomideMaleMiddle AgedMultivariate AnalysisMyelodysplastic SyndromesProportional Hazards ModelsRecurrenceRetrospective StudiesThalidomideTreatment OutcomeUnited StatesConceptsDisease-modifying therapiesErythropoiesis-stimulating agentsElectronic medical record databaseMyelodysplastic syndromeMedical record databasePatient characteristicsTreatment patternsGE Centricity Electronic Medical Records databaseRecord databaseLow baseline hemoglobin levelMultivariable Cox regression modelsLarge electronic medical record databaseBaseline hemoglobin levelAbsence of comorbiditiesFirst-line treatmentMajority of patientsSelection of patientsCox regression modelIron chelation therapyAgent azacitidineMore comorbiditiesHemoglobin levelsMale genderClinical trialsChelation therapy
2014
Impact of Myeloproliferative Neoplasms (MPNs) on Patients’ Overall Health and Productivity: Results from the MPN LANDMARK SURVEY in the United States
Mesa R, Miller C, Thyne M, Mangan J, Goldberger S, Fazal S, Ma X, Wilson W, Dubinski D, Boyle J, Mascarenhas J. Impact of Myeloproliferative Neoplasms (MPNs) on Patients’ Overall Health and Productivity: Results from the MPN LANDMARK SURVEY in the United States. Blood 2014, 124: 3183. DOI: 10.1182/blood.v124.21.3183.3183.Peer-Reviewed Original ResearchPrognostic risk scoreMajority of patientsIncyte CorporationLow-risk scoresRisk scoreMyeloproliferative neoplasmsEssential thrombocythemiaOverall healthSymptom burdenDays of workSpeakers bureauPolycythemia veraSignificant burdenSubset of patientsTotal symptom scoreImpact of symptomsAdvisory CommitteeHigh-risk scoreChronic myeloproliferative neoplasmsNovartis Pharmaceuticals CorporationQuality of lifeLandmark surveyMarked burdenEligible patientsSymptom scores