2023
Second 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
Practice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States
Bewersdorf JP, Prozora S, Podoltsev NA, Shallis R, Huntington SF, Neparidze N, Wang R, Zeidan AM, Davidoff AJ. Practice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States. Blood Advances 2022, 6: 376-385. PMID: 34724703, PMCID: PMC8791583, DOI: 10.1182/bloodadvances.2021005642.Peer-Reviewed Original ResearchMeSH KeywordsHospital MortalityHumansLeukemia, Myeloid, AcuteLeukemia, Promyelocytic, AcuteMiddle AgedOdds RatioPrognosisUnited StatesConceptsAcute promyelocytic leukemiaAdverse outcomesPromyelocytic leukemiaNational Comprehensive Cancer Network guidelinesBaseline white blood cell countFavorable long-term prognosisWhite blood cell countVizient Clinical Data BaseGuideline-concordant regimensGuideline-concordant therapyGuideline-concordant treatmentGuideline-recommended therapiesBaseline clinical characteristicsHigh-risk diseaseLong-term prognosisPopulation-based registryBlood cell countClinical data baseLarge database analysisLogistic regression modelsTreatment concordanceClinical characteristicsReal-world practiceTreatment patternsNetwork guidelines
2020
Clinical 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 ResearchMeSH KeywordsAgedDecitabineHumansLeukemia, Myeloid, AcuteMedicareRetrospective StudiesTreatment OutcomeUnited StatesConceptsAcute 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 differencesPatterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States
Zeidan AM, Podoltsev NA, Wang X, Zhang C, Bewersdorf JP, Shallis RM, Huntington SF, Neparidze N, Giri S, Gore SD, Davidoff AJ, Ma X, Wang R. Patterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States. Blood Advances 2020, 4: 1615-1623. PMID: 32311013, PMCID: PMC7189301, DOI: 10.1182/bloodadvances.2020001728.Peer-Reviewed Original ResearchConceptsIntensive induction chemotherapyAcute myeloid leukemiaHospital deathInduction chemotherapyAdult patientsMultivariable logistic regression modelLow hospital volumePremier Healthcare DatabasePredictors of deathHealthcare resource utilizationIntensive care unitPatterns of careStandard of careLogistic regression modelsFit patientsRemission inductionFirst hospitalizationHospital volumeInpatient deathInpatient mortalityOlder patientsSupportive careMedian ageAML patientsCare unitAge-, 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 ResearchMeSH KeywordsAdolescentAge FactorsCase-Control StudiesChildChild, PreschoolFemaleFetal DevelopmentHumansInfantInfant, NewbornLeukemia, Myeloid, AcuteMaleSex FactorsConceptsAcute 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 ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsBridged Bicyclo Compounds, HeterocyclicCytarabineHumansLeukemia, Myeloid, AcuteSulfonamides
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 ResearchMeSH KeywordsAgedFemaleHumansLeukemia, Myeloid, AcuteMaleRetrospective StudiesSEER ProgramUnited StatesConceptsAcute 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 StatementsMeSH KeywordsAntineoplastic AgentsCost-Benefit AnalysisHealth Care CostsHematopoietic Stem Cell TransplantationHospitalizationHumansLeukemia, Myeloid, AcuteConceptsHematopoietic 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
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