2023
Older patients with chronic myeloid leukemia face suboptimal molecular testing and tyrosine kinase inhibitor adherence
Shallis R, Wang R, Zeidan A, Huntington S, Neparidze N, Stempel J, Mendez L, Di M, Ma X, Podoltsev N. Older patients with chronic myeloid leukemia face suboptimal molecular testing and tyrosine kinase inhibitor adherence. Blood Advances 2023, 7: 3213-3224. PMID: 36939371, PMCID: PMC10338212, DOI: 10.1182/bloodadvances.2022009074.Peer-Reviewed Original ResearchConceptsChronic myeloid leukemiaTKI adherenceTKI initiationOlder patientsMyeloid leukemiaEnd Results-Medicare databaseTyrosine kinase inhibitor usePolymerase chain reaction testingQuantitative polymerase chain reaction testingOlder patient populationCare of patientsHealth care accessReal-world studyReal-world evidenceLow socioeconomic statusLow-income subsidyFirst yearInfluenza vaccinationInhibitor useWorse survivalTKI treatmentMultivariable analysisPatient populationOptimal monitoringCare accessSecond malignancies among older patients with classical myeloproliferative neoplasms treated with hydroxyurea
Wang R, Shallis R, Stempel JM, Huntington SF, Zeidan AM, Gore SD, Ma X, Podoltsev NA. Second malignancies among older patients with classical myeloproliferative neoplasms treated with hydroxyurea. Blood Advances 2023, 7: 734-743. PMID: 35917456, PMCID: PMC9989521, DOI: 10.1182/bloodadvances.2022008259.Peer-Reviewed Original ResearchConceptsSecond malignanciesAcute myeloid leukemiaOlder patientsMyelodysplastic syndromeMyeloproliferative neoplasmsHU usersHigh riskPolycythemia veraEssential thrombocythemiaRisk of SMAML/myelodysplastic syndromeClassical Philadelphia chromosome-negative myeloproliferative neoplasmsImpact of hydroxyureaRetrospective cohort studyUse of hydroxyureaPhiladelphia chromosome-negative myeloproliferative neoplasmsClassical myeloproliferative neoplasmsCumulative incidence probabilityCohort studyCytoreductive therapyPatient characteristicsMedian ageHU useMyeloid leukemiaSecondary myelofibrosis
2022
The impact of race and ethnicity on outcomes of patients with myelodysplastic syndromes: a population-based analysis
Goksu SY, Ozer M, Goksu BB, Wang R, Khatib J, Patel PA, Vusirikala M, Cole S, Seyhanli A, Collins RH, Chung S, Zeidan AM, Madanat YF. The impact of race and ethnicity on outcomes of patients with myelodysplastic syndromes: a population-based analysis. Leukemia & Lymphoma 2022, 63: 1651-1659. PMID: 35133215, DOI: 10.1080/10428194.2022.2032034.Peer-Reviewed Original ResearchConceptsIncidence rate ratiosNon-Hispanic whitesMyelodysplastic syndromeRace/ethnicityNHB patientsNon-Hispanic blacksSurvival outcomesDisease characteristicsAge groupsHigher incidence rate ratioLower incidence rate ratiosOutcomes of patientsBetter overall survivalPopulation-based analysisAcute myeloid leukemiaNHW patientsAdult patientsOverall survivalSEER databaseClinical outcomesIncidence rateMyeloid leukemiaPatientsEthnic backgroundDisease risk
2021
Contemporary practice patterns of tyrosine kinase inhibitor use among older patients with chronic myeloid leukemia in the United States
Shallis RM, Wang R, Bewersdorf JP, Zeidan AM, Davidoff AJ, Huntington SF, Podoltsev NA, Ma X. Contemporary practice patterns of tyrosine kinase inhibitor use among older patients with chronic myeloid leukemia in the United States. Therapeutic Advances In Hematology 2021, 12: 20406207211043404. PMID: 35154624, PMCID: PMC8832334, DOI: 10.1177/20406207211043404.Peer-Reviewed Original ResearchChronic phase chronic myeloid leukemiaFrontline tyrosine kinase inhibitorsTyrosine kinase inhibitorsOlder patientsChronic myeloid leukemiaTKI switchingMyeloid leukemiaSecond-generation tyrosine kinase inhibitorsBCR-ABL1 tyrosine kinase inhibitorsTyrosine kinase inhibitor useOlder CML patientsEnd Results-MedicareFavorable safety profileSpecific patient populationsContemporary practice patternsFrontline imatinibTKI choiceGreater comorbidityMost patientsInhibitor usePatient characteristicsWhite patientsDiagnosis yearTKI useCML patients
2020
Epidemiology of the classical myeloproliferative neoplasms: The four corners of an expansive and complex map
Shallis RM, Wang R, Davidoff A, Ma X, Podoltsev NA, Zeidan AM. Epidemiology of the classical myeloproliferative neoplasms: The four corners of an expansive and complex map. Blood Reviews 2020, 42: 100706. PMID: 32517877, DOI: 10.1016/j.blre.2020.100706.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsChronic myeloid leukemiaPolycythemia veraEssential thrombocythemiaMyeloproliferative neoplasmsClassical myeloproliferative neoplasmsPrimary myelofibrosisIncidence of CMLEnd Results program dataTyrosine kinase inhibitor therapyCML patient outcomesClonal myeloid disordersKinase inhibitor therapyPotential etiological roleInhibitor therapyMale genderRisk factorsPatient outcomesMyeloid leukemiaPMF patientsBetter survivalGeneral populationEtiological roleMyeloid disordersMolecular abnormalitiesEpidemiological literatureClinical outcomes of older patients with AML receiving hypomethylating agents: a large population-based study in the United States
Zeidan AM, Wang R, Wang X, Shallis RM, Podoltsev NA, Bewersdorf JP, Huntington SF, Neparidze N, Giri S, Gore SD, Davidoff AJ, Ma X. Clinical outcomes of older patients with AML receiving hypomethylating agents: a large population-based study in the United States. Blood Advances 2020, 4: 2192-2201. PMID: 32433746, PMCID: PMC7252544, DOI: 10.1182/bloodadvances.2020001779.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaDecitabine-treated patientsTransfusion independenceRed blood cell transfusion independenceLarge population-based studyOlder AML patientsRBC transfusion independenceEnd Results-MedicarePopulation-based studyStandard of careAgent azacitidineMedian survivalOlder patientsIntensive therapyAML patientsClinical outcomesClinical benefitMyeloid leukemiaMortality riskPatientsAzacitidineDecitabineOlder adultsOne-thirdMeaningful differencesAge-, sex- and disease subtype–related foetal growth differentials in childhood acute myeloid leukaemia risk: A Childhood Leukemia International Consortium analysis
Karalexi MA, Dessypris N, Ma X, Spector LG, Marcotte E, Clavel J, Pombo-de-Oliveira MS, Heck JE, Roman E, Mueller BA, Hansen J, Auvinen A, Lee PC, Schüz J, Magnani C, Mora AM, Dockerty JD, Scheurer ME, Wang R, Bonaventure A, Kane E, Doody DR, Group N, Baka M, Moschovi M, Polychronopoulou S, Kourti M, Hatzipantelis E, Pelagiadis I, Dana H, Kantzanou M, Tzanoudaki M, Anastasiou T, Grenzelia M, Gavriilaki E, Sakellari I, Anagnostopoulos A, Kitra V, Paisiou A, Bouka E, Group F, Nikkilä A, Lohi O, Erdmann F, Kang A, Metayer C, Milne E, Petridou E. Age-, sex- and disease subtype–related foetal growth differentials in childhood acute myeloid leukaemia risk: A Childhood Leukemia International Consortium analysis. European Journal Of Cancer 2020, 130: 1-11. PMID: 32163883, DOI: 10.1016/j.ejca.2020.01.018.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaChildhood Leukemia International ConsortiumGestational ageFoetal growthInfant boyAcute myeloid leukemia riskMyeloid leukemia riskNewborn Growth ConsortiumRare childhood cancerBirth lengthGrowth markersChildhood cancerAML subtypesAML casesMyeloid leukemiaLeukemia riskNull associationDisease subtypesInternational FetalAgeMore studiesConsortium analysisLeukemiaSexBoysVenetoclax as monotherapy and in combination with hypomethylating agents or low dose cytarabine in relapsed and treatment refractory acute myeloid leukemia: a systematic review and meta-analysis
Bewersdorf JP, Giri S, Wang R, Williams RT, Tallman MS, Zeidan AM, Stahl M. Venetoclax as monotherapy and in combination with hypomethylating agents or low dose cytarabine in relapsed and treatment refractory acute myeloid leukemia: a systematic review and meta-analysis. Haematologica 2020, 105: 2659-2663. PMID: 33131256, PMCID: PMC7604631, DOI: 10.3324/haematol.2019.242826.Peer-Reviewed Original Research
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 characteristicsHealthcare expenses for treatment of acute myeloid leukemia
Bewersdorf JP, Shallis R, Wang R, Huntington S, Perreault S, Ma X, Zeidan AM. Healthcare expenses for treatment of acute myeloid leukemia. Expert Review Of Hematology 2019, 12: 641-650. PMID: 31159602, DOI: 10.1080/17474086.2019.1627869.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHematopoietic stem cell transplantInsurance statusHealthcare costsTreatment approachesAllogeneic hematopoietic stem cell transplantAcute myeloid leukemia (AML) treatmentStem cell transplantTreatment costsDirect healthcare costsInpatient treatment costsPatient insurance statusPersonalized treatment approachesAcute myeloid leukemiaMyeloid leukemia treatmentInfluence health policyIntensive chemotherapyOral therapyCell transplantMain cost driversMyeloid leukemiaNovel agentsMedical outcomesLeukemia treatmentHealthcare resourcesAML
2017
Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life
Wang R, Zeidan AM, Halene S, Xu X, Davidoff AJ, Huntington SF, Podoltsev NA, Gross CP, Gore SD, Ma X. Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life. Journal Of Clinical Oncology 2017, 35: jco.2017.72.714. PMID: 28783450, PMCID: PMC5648174, DOI: 10.1200/jco.2017.72.7149.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaDays of lifeEnd of lifeLife careHospice careOlder patientsHospice enrollmentMyeloid leukemiaIntensive care unit admissionMultivariable logistic regression analysisOlder adultsLate hospice enrollmentCare unit admissionRetrospective cohort studyUse of chemotherapyIntensive care unitHealth care useLogistic regression analysisYears of ageUnit admissionAggressive treatmentCohort studyOverall cohortAML diagnosisCare unit
2016
Myelodysplastic Syndromes and Acute Myeloid Leukemia After Radiotherapy for Prostate Cancer: A Population‐Based Study
Wang R, Zeidan AM, Yu JB, Soulos PR, Davidoff AJ, Gore SD, Huntington SF, Gross CP, Ma X. Myelodysplastic Syndromes and Acute Myeloid Leukemia After Radiotherapy for Prostate Cancer: A Population‐Based Study. The Prostate 2016, 77: 437-445. PMID: 27868212, PMCID: PMC5785924, DOI: 10.1002/pros.23281.Peer-Reviewed Original ResearchConceptsMDS/acute myeloid leukemiaAcute myeloid leukemiaProstate cancer patientsElderly prostate cancer patientsImpact of radiotherapyCancer patientsMyelodysplastic syndromeNational Cancer Institute's SurveillanceSubsequent myelodysplastic syndromeEnd Results-MedicareRetrospective cohort studyRole of radiotherapyInformed treatment decisionsUnderwent radiotherapyIMRT groupCohort studyPatient characteristicsMedian timeMyeloid leukemiaProstate cancerTreatment decisionsPatientsRadiotherapyMyeloid malignanciesSurgery
2009
Diet, Lifestyle, and Acute Myeloid Leukemia in the NIH–AARP Cohort
Ma X, Park Y, Mayne ST, Wang R, Sinha R, Hollenbeck AR, Schatzkin A, Cross AJ. Diet, Lifestyle, and Acute Myeloid Leukemia in the NIH–AARP Cohort. American Journal Of Epidemiology 2009, 171: 312-322. PMID: 20042434, PMCID: PMC2842202, DOI: 10.1093/aje/kwp371.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaPack/dayMyeloid leukemiaHazard ratioMeat intakeNIH-AARP DietLarge prospective studiesMultivariate Cox modelHigh meat intakeMeat cooking methodsNIH-AARP cohortCurrent smokersFormer smokersIncident casesProspective studyUS cohortVegetable intakeDoneness levelRisk factorsHigh riskCox modelHealth StudyLeukemiaSmokersConfidence intervals