2022
Hispanic Ethnicity Differences in Birth Characteristics, Maternal Birthplace, and Risk of Early-Onset Hodgkin Lymphoma: A Population-Based Case–Control Study
Graham C, Metayer C, Morimoto LM, Wiemels JL, Siddique A, Di M, Rodwin RL, Kadan-Lottick NS, Ma X, Wang R. Hispanic Ethnicity Differences in Birth Characteristics, Maternal Birthplace, and Risk of Early-Onset Hodgkin Lymphoma: A Population-Based Case–Control Study. Cancer Epidemiology Biomarkers & Prevention 2022, 31: 1788-1795. PMID: 35709749, PMCID: PMC9444874, DOI: 10.1158/1055-9965.epi-22-0335.Peer-Reviewed Original ResearchConceptsNon-Hispanic whitesHodgkin's lymphomaCase-control studyBirth characteristicsMaternal birthplaceMaternal agePopulation-based case-control studyMultivariable logistic regression modelConfidence intervalsEthnic differencesEarly-onset cancersPotential ethnic differencesForeign-born mothersLogistic regression modelsEthnicity differencesRace/ethnicityYear of birthLymphomaPaternal ageFemale HispanicsHispanic casesMale HispanicsHodgkinAgeRiskPractice 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 ResearchConceptsAcute 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 guidelinesBirth characteristics and risk of meningioma in a population-based study in California
Cote D, Wang R, Morimoto L, Metayer C, Stempel J, Zada G, Ma X, Wiemels J. Birth characteristics and risk of meningioma in a population-based study in California. Neuro-Oncology Advances 2022, 4: vdac173. PMID: 36479059, PMCID: PMC9721385, DOI: 10.1093/noajnl/vdac173.Peer-Reviewed Original ResearchPopulation-based studyHigher birth orderBirth characteristicsFemale sexRace/ethnicityBlack raceOdds ratioHigh riskUnconditional multivariable logistic regression modelsMultivariable logistic regression modelLarge population-based studyAge-stratified analysisConfidence intervalsCancer registry dataRisk of meningiomaAge of diagnosisCalifornia birth recordsPopulation-based linkageBirth orderLogistic regression modelsYear of birthGestational ageMaternal ageRisk factorsHigher birthweight
2021
Mode of Delivery, Birth Characteristics and Early-Onset Non-Hodgkin Lymphoma in a Population-Based Case-Control Study
Dwyer KE, Wang R, Cozen W, Cartmel B, Wiemels JL, Morimoto LM, Metayer C, Ma X. Mode of Delivery, Birth Characteristics and Early-Onset Non-Hodgkin Lymphoma in a Population-Based Case-Control Study. Cancer Epidemiology Biomarkers & Prevention 2021, 30: cebp.0535.2021. PMID: 34548330, DOI: 10.1158/1055-9965.epi-21-0535.Peer-Reviewed Original ResearchConceptsNon-Hodgkin lymphomaT-cell non-Hodgkin lymphomaCase-control studyBirth characteristicsMode of deliveryYear of birthOdds ratioNHL riskUnconditional multivariable logistic regression modelsPopulation-based case-control studyCases of NHLMultivariable logistic regression modelConfidence intervalsAge of diagnosisPediatric Burkitt lymphomaLogistic regression modelsCesarean sectionHistologic subtypeDecreased riskHodgkin's lymphomaMaternal ageBurkitt's lymphomaElevated riskLower riskMaternal educationSociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies
Mun S, Wang R, Ma X, Ananth P. Sociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies. Cancer 2021, 127: 3817-3824. PMID: 34185881, PMCID: PMC8478813, DOI: 10.1002/cncr.33764.Peer-Reviewed Original ResearchConceptsHematologic malignanciesYoung adultsLife careMultivariable logistic regression modelCancer-directed treatmentPremier Healthcare DatabaseRetrospective cohort studyEmergency department visitsIntensive care unitHigh-intensity endDays of lifeMajority of childrenLogistic regression modelsIntravenous chemotherapyTracheostomy placementCohort studyDepartment visitsCare unitMechanical ventilationHospital characteristicsMultivariable modelCardiopulmonary resuscitationType of insuranceHealthcare databasesMalignancy
2020
Patterns 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 unit
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 characteristicsUnderutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States
Giri S, Zhu W, Wang R, Zeidan A, Podoltsev N, Gore SD, Neparidze N, Ma X, Gross CP, Davidoff AJ, Huntington SF. Underutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States. Cancer 2019, 125: 4084-4095. PMID: 31381151, DOI: 10.1002/cncr.32428.Peer-Reviewed Original ResearchConceptsBone-modifying drugsSupportive careMultiple myelomaInfluenza vaccinationAntiviral prophylaxisOlder adultsLower oddsEnd Results-Medicare databaseNon-Hispanic black patientsMultivariable logistic regression modelBaseline renal impairmentSupportive care useTreatment-related toxicityFacility-level characteristicsNon-Hispanic blacksOutcomes of interestCommunity-based settingsLogistic regression modelsRenal impairmentActive treatmentBlack patientsCare useConcomitant useProphylactic antiviralsReduced odds