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 StatementsMeSH KeywordsAnimalsHematologic NeoplasmsHumansIncidenceMyeloproliferative DisordersPrognosisRisk FactorsSurvival AnalysisConceptsChronic 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 literature
2018
The impact of phlebotomy and hydroxyurea on survival and risk of thrombosis among older patients with polycythemia vera
Podoltsev NA, Zhu M, Zeidan AM, Wang R, Wang X, Davidoff AJ, Huntington SF, Giri S, Gore SD, Ma X. The impact of phlebotomy and hydroxyurea on survival and risk of thrombosis among older patients with polycythemia vera. Blood Advances 2018, 2: 2681-2690. PMID: 30333100, PMCID: PMC6199652, DOI: 10.1182/bloodadvances.2018021436.Peer-Reviewed Original ResearchConceptsRisk of thrombosisPV patientsOverall survivalThrombotic eventsMultivariable Cox proportional hazards modelsEnd Results-Medicare databaseHigh-risk PV patientsCox proportional hazards modelOlder adultsImpact of phlebotomyRetrospective cohort studyPopulation-based studyProportional hazards modelEffect of phlebotomyOutcomes of interestPolycythemia vera patientsContemporary clinical practiceImproved OSCohort studyCytoreductive therapyOlder patientsTherapeutic phlebotomyTreatment modalitiesCurrent guidelinesLower risk
2017
Risk of myeloid neoplasms after radiotherapy among older women with localized breast cancer: A population-based study
Zeidan AM, Long JB, Wang R, Hu X, Yu JB, Huntington SF, Abel GA, Mougalian SS, Podoltsev NA, Gore SD, Gross CP, Ma X, Davidoff AJ. Risk of myeloid neoplasms after radiotherapy among older women with localized breast cancer: A population-based study. PLOS ONE 2017, 12: e0184747. PMID: 28902882, PMCID: PMC5597231, DOI: 10.1371/journal.pone.0184747.Peer-Reviewed Original ResearchConceptsBreast cancer survivorsMyeloid neoplasmsCancer survivorsBreast cancerOlder womenOlder breast cancer survivorsTherapy-related myeloid neoplasmsCompeting-risks survival analysisAbsolute risk increaseBenefits of radiotherapyPopulation-based studyAbsence of chemotherapyRisk of developmentMultiple sensitivity analysesEligible patientsSubsequent chemotherapyAdjuvant radiotherapyLocalized diseaseCumulative incidenceInitial treatmentSEER registryPoor outcomeTreatment recommendationsMedicare claimsMN diagnosis
2011
Cigarette smoking shortens the survival of patients with low-risk myelodysplastic syndromes
Ma X, Wang R, Galili N, Mayne ST, Wang SA, Yu H, Raza A. Cigarette smoking shortens the survival of patients with low-risk myelodysplastic syndromes. Cancer Causes & Control 2011, 22: 623-629. PMID: 21287258, PMCID: PMC3086405, DOI: 10.1007/s10552-011-9735-6.Peer-Reviewed Original ResearchConceptsLower-risk myelodysplastic syndromesSurvival of patientsRisk of deathMyelodysplastic syndromeMDS survivalLifestyle factorsMultivariate Cox proportional hazards modelHigh-risk myelodysplastic syndromeCox proportional hazards modelLow-risk patientsProportional hazards modelInitial clinical encounterClinical characteristicsHazard ratioIndependent predictorsPrognostic roleMDS patientsCigarette smokingPoor survivalHematological malignanciesElevated riskHazards modelPatientsSmokingClinical encounters
2009
Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States
Wang R, Gross CP, Halene S, Ma X. Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States. Cancer Causes & Control 2009, 20: 1369-1376. PMID: 19455395, PMCID: PMC2921772, DOI: 10.1007/s10552-009-9362-7.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFemaleHumansMaleMyelodysplastic SyndromesResidence CharacteristicsSocial ClassSurvival AnalysisUnited StatesConceptsNeighborhood socioeconomic statusMyelodysplastic syndromeSocioeconomic statusElderly patientsHazard ratioMultivariate Cox proportional hazards modelCox proportional hazards modelSurvival of patientsPopulation-based studyRisk of deathRisk of mortalityProportional hazards modelImpact of SESLow socioeconomic statusCensus tractsPrognostic roleMDS patientsIndependent determinantsRefractory anemiaHistological subtypesHazards modelPatientsSES statusTractS scores
2007
Myelodysplastic syndromes
Ma X, Does M, Raza A, Mayne ST. Myelodysplastic syndromes. Cancer 2007, 109: 1536-1542. PMID: 17345612, DOI: 10.1002/cncr.22570.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedFemaleHumansIncidenceMaleMiddle AgedMyelodysplastic SyndromesSEER ProgramSex FactorsSurvival AnalysisUnited StatesConceptsSurvival of patientsOutcome of MDSMyelodysplastic syndromeDescriptive epidemiologic dataHigh incidence rateIncident casesIncidence rateEpidemiologic dataRisk of MDSPopulation-based databaseEnd Results ProgramCancer Reporting SystemPopulation-based cancer reporting systemsPublic-use databaseMDS survivalWorse survivalMale patientsMDS patientsRefractory anemiaResults ProgramClinical subtypesSEER dataSEER programMDS casesPatients