2021
Impact of the COVID-19 Pandemic on in-Person Visit Rates Among Patients with Hematologic Malignancies in the United States
Goyal G, Lau K, Wang X, Davidoff A, Huntington S, Jamy O, Calip G, Shah H, Stephens D, Miksad R, Parikh R, Takvorian S, Neparidze N, Seymour E. Impact of the COVID-19 Pandemic on in-Person Visit Rates Among Patients with Hematologic Malignancies in the United States. Blood 2021, 138: 1930. PMCID: PMC8701834, DOI: 10.1182/blood-2021-153625.Peer-Reviewed Original ResearchCurrent equity holderEarly pandemic monthsLines of therapyHematologic malignanciesVisit ratesTreatment typePandemic monthsAdvisory CommitteeCAR T-cell therapyPerson medical careDiagnosis of AMLDe-identified databaseCOVID-19 pandemicSignificant reductionPandemic periodCurrent employmentElectronic health recordsFlatiron HealthOral therapyActive treatmentHematopoietic transplantsInitial diagnosisCSL BehringOutpatient infusionsActive patientsRacial Disparities in Telemedicine Uptake during the COVID-19 Pandemic Among Patients with Hematologic Malignancies in the United States
Neparidze N, Lau K, Wang X, Davidoff A, Huntington S, Jamy O, Calip G, Shah H, Stephens D, Miksad R, Parikh R, Takvorian S, Goyal G, Seymour E. Racial Disparities in Telemedicine Uptake during the COVID-19 Pandemic Among Patients with Hematologic Malignancies in the United States. Blood 2021, 138: 1973. PMCID: PMC8701527, DOI: 10.1182/blood-2021-153787.Peer-Reviewed Original ResearchCurrent equity holderWhite patientsBlack patientsInpatient treatmentVisit ratesTelemedicine uptakeTreatment categoriesPerson visitsHematologic malignanciesAdvisory CommitteeTreatment typeSignificant reductionRacial disparitiesLines of therapyDiagnosis of AMLDe-identified databaseEarly pandemic monthsPotential racial disparitiesCurrent employmentElectronic health recordsFlatiron HealthHospital admissionActive treatmentInitial diagnosisCSL BehringRacial, ethnic, and socioeconomic disparities in treatment outcomes in patients (pts) with diffuse large B-cell lymphoma (DLBCL): A U.S. real-world study using a de-identified electronic health record (EHR)-derived database.
Jin Y, Li J, Mun Y, Masaquel A, Hu S, Biondo J, Huntington S. Racial, ethnic, and socioeconomic disparities in treatment outcomes in patients (pts) with diffuse large B-cell lymphoma (DLBCL): A U.S. real-world study using a de-identified electronic health record (EHR)-derived database. Journal Of Clinical Oncology 2021, 39: e18514-e18514. DOI: 10.1200/jco.2021.39.15_suppl.e18514.Peer-Reviewed Original ResearchDiffuse large B-cell lymphomaOverall survivalBaseline characteristicsTreatment patternsEastern Cooperative Oncology Group scoreHealth outcomesLarge B-cell lymphomaSimilar disease stageRetrospective cohort studyFirst-line therapyBetter overall survivalDays of diagnosisNon-Hodgkin lymphomaRace groupsB-cell lymphomaYears of ageReal-world studyDe-identified databaseSignificant differencesElectronic health recordsAdvanced diseaseR-CHOPCohort studyNext therapyMedicaid insurance
2020
Chromosome 1 abnormalities and survival of patients with multiple myeloma in the era of novel agents
Giri S, Huntington SF, Wang R, Zeidan AM, Podoltsev N, Gore SD, Ma X, Gross CP, Davidoff AJ, Neparidze N. Chromosome 1 abnormalities and survival of patients with multiple myeloma in the era of novel agents. Blood Advances 2020, 4: 2245-2253. PMID: 32442299, PMCID: PMC7252537, DOI: 10.1182/bloodadvances.2019001425.Peer-Reviewed Original ResearchConceptsHigh-risk chromosomal abnormalitiesOverall survivalMultiple myelomaChromosome 1 abnormalitiesCox proportional hazards regression modelHigh-risk multiple myelomaProportional hazards regression modelsFlatiron Health databaseR-ISS stageMedian overall survivalFirst-line therapyDays of diagnosisInferior overall survivalInternational Staging SystemKaplan-Meier methodSurvival of patientsWorse overall survivalLog-rank testHazards regression modelsCommon genetic aberrationsElectronic health recordsEligible patientsContemporary cohortImmunomodulatory agentsStaging system
2019
Chromosome 1 abnormalities and clinical outcomes in multiple myeloma in the era of novel agents.
Giri S, Huntington S, Wang R, Zeidan A, Podoltsev N, Gore S, Ma X, Gross C, Davidoff A, Neparidze N. Chromosome 1 abnormalities and clinical outcomes in multiple myeloma in the era of novel agents. Journal Of Clinical Oncology 2019, 37: 8044-8044. DOI: 10.1200/jco.2019.37.15_suppl.8044.Peer-Reviewed Original ResearchOverall survivalMultiple myelomaPerformance statusMultivariable Cox survival analysisMedian overall survivalPoor performance statusLines of therapyKaplan-Meier methodCox regression analysisDays of diagnosisWorse overall survivalCox survival analysisLog-rank testReal-world treatmentCommon genetic mutationsHigh-risk mutationsSitu hybridization testingElectronic health recordsISS stageReal-world practiceMedian ageMeier methodOS independentPrimary outcomeSpecific regimens
2015
Financial toxicity in insured patients with multiple myeloma: a cross-sectional pilot study
Huntington SF, Weiss BM, Vogl DT, Cohen AD, Garfall AL, Mangan PA, Doshi JA, Stadtmauer EA. Financial toxicity in insured patients with multiple myeloma: a cross-sectional pilot study. The Lancet Haematology 2015, 2: e408-e416. PMID: 26686042, DOI: 10.1016/s2352-3026(15)00151-9.Peer-Reviewed Original ResearchConceptsMultiple myelomaFinancial toxicityElectronic health recordsTertiary academic medical centerCross-sectional pilot studyPatient-reported useTreatment costsFinancial burdenNon-married statusAcademic medical centerExtended treatment durationQuality of lifeCross-sectional surveyLower household incomePatients' electronic health recordsPatient-reported financial toxicityHigh financial burdenEligible patientsRoutine followMultivariable analysisMedication adherenceMyeloma treatmentOngoing treatmentCOST scoreMedical Center