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
2016
Factors affecting time to active therapy (AT) among patients (pts) with myelodysplastic syndromes (MDS) in a US electronic medical records (EMR) database.
Scott B, Kiselev P, Fliss A, Huang M, Steensma D, Ma X, Swern A, Sugrue M. Factors affecting time to active therapy (AT) among patients (pts) with myelodysplastic syndromes (MDS) in a US electronic medical records (EMR) database. Journal Of Clinical Oncology 2016, 34: e18548-e18548. DOI: 10.1200/jco.2016.34.15_suppl.e18548.Peer-Reviewed Original Research