2024
Global Disparities in the Characteristics and Outcomes of Leukemia Clinical Trials: A Cross-Sectional Study of the ClinicalTrials.gov Database.
Alhajahjeh A, Rotter L, Stempel J, Grimshaw A, Bewersdorf J, Blaha O, Kewan T, Podoltsev N, Shallis R, Mendez L, Stahl M, Zeidan A. Global Disparities in the Characteristics and Outcomes of Leukemia Clinical Trials: A Cross-Sectional Study of the ClinicalTrials.gov Database. JCO Global Oncology 2024, 10: e2400316. PMID: 39621951, DOI: 10.1200/go-24-00316.Peer-Reviewed Original ResearchMeSH KeywordsClinical Trials as TopicCross-Sectional StudiesDatabases, FactualDeveloped CountriesDeveloping CountriesHealthcare DisparitiesHumansLeukemia
2018
Hypomethylating agents in relapsed and refractory AML: outcomes and their predictors in a large international patient cohort
Stahl M, DeVeaux M, Montesinos P, Itzykson R, Ritchie EK, Sekeres MA, Barnard JD, Podoltsev NA, Brunner AM, Komrokji RS, Bhatt VR, Al-Kali A, Cluzeau T, Santini V, Fathi AT, Roboz GJ, Fenaux P, Litzow MR, Perreault S, Kim TK, Prebet T, Vey N, Verma V, Germing U, Bergua JM, Serrano J, Gore SD, Zeidan AM. Hypomethylating agents in relapsed and refractory AML: outcomes and their predictors in a large international patient cohort. Blood Advances 2018, 2: 923-932. PMID: 29685952, PMCID: PMC5916007, DOI: 10.1182/bloodadvances.2018016121.Peer-Reviewed Original ResearchConceptsOverall survivalRR-AMLMedian OSOlder acute myeloid leukemia patientsAcute myeloid leukemia patientsCR/CRiIncomplete count recoveryMedian overall survivalDecreased overall survivalBone marrow blastsReasonable therapeutic optionMyeloid leukemia patientsPredictors of responseImproved response ratesLarge international patient cohortInternational patient cohortGood responseComplete remissionHematologic improvementRefractory AMLMarrow blastsMedian ageCount recoveryFrontline treatmentTherapeutic options
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
2015
Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides
Zeidan AM, Sekeres MA, Garcia-Manero G, Steensma DP, Zell K, Barnard J, Ali NA, Zimmerman C, Roboz G, DeZern A, Nazha A, Jabbour E, Kantarjian H, Gore SD, Maciejewski JP, List A, Komrokji R. Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides. Leukemia 2015, 30: 649-657. PMID: 26464171, PMCID: PMC4775363, DOI: 10.1038/leu.2015.283.Peer-Reviewed Original ResearchConceptsInternational Prognostic Scoring SystemPrognostic scoring systemMD Anderson Prognostic Scoring SystemMyelodysplastic syndromePrognostic toolScoring systemDifferent prognostic scoring systemsHigh-risk myelodysplastic syndromeRelative prognostic performanceOutcomes of patientsFirst-line therapyRisk stratification toolHigh-risk groupWorld Health OrganizationHR-MDSMedian OSObjective responseOverall survivalStandard therapyPrognostic utilityStratification toolPatient cohortPrognostic performancePatientsHealth OrganizationVariations in erythropoiesis-stimulating agent administration in transfusion-dependent myelodysplastic syndromes impact response
Duong VH, Baer MR, Hendrick F, Weiss SR, Sato M, Zeidan AM, Gore SD, Davidoff AJ. Variations in erythropoiesis-stimulating agent administration in transfusion-dependent myelodysplastic syndromes impact response. Leukemia Research 2015, 39: 586-591. PMID: 25869077, PMCID: PMC4441842, DOI: 10.1016/j.leukres.2015.03.013.Peer-Reviewed Original ResearchConceptsErythropoiesis-stimulating agentsUse of darbepoetinTransfusion independenceESA initiationTransfusion dependenceMyelodysplastic syndromeESA useTransfusion-dependent MDS patientsRed blood cell transfusionNumber of weeksCox proportional hazards modelErythropoiesis-stimulating agent administrationEnd Results-MedicareWeeks of therapyBlood cell transfusionWeeks of treatmentPopulation-based studyKaplan-Meier statisticsProportional hazards modelAssociation of timingHigh response rateCell transfusionEarly administrationSurveillance EpidemiologyESA administration