2024
USPSTF Colorectal Cancer Screening Recommendation and Uptake for Individuals Aged 45 to 49 Years
Siddique S, Wang R, Yasin F, Gaddy J, Zhang L, Gross C, Ma X. USPSTF Colorectal Cancer Screening Recommendation and Uptake for Individuals Aged 45 to 49 Years. JAMA Network Open 2024, 7: e2436358. PMID: 39361285, PMCID: PMC11450516, DOI: 10.1001/jamanetworkopen.2024.36358.Peer-Reviewed Original ResearchConceptsUS Preventive Services Task ForceUS Preventive Services Task Force recommendationsColorectal cancer screening uptakeAverage-risk individualsScreening uptakeHigher socioeconomic statusSocioeconomic statusScreening recommendationsColorectal cancerColorectal cancer screening recommendationsPreventive Services Task ForceCohort studyCancer screening recommendationsScreening uptake ratesInterrupted time series analysisLow socioeconomic statusPrivate insurance beneficiariesScreening ratesSocioeconomic disparitiesRetrospective cohort studyMain OutcomesPotential disparitiesEvaluate changesClaims dataAbsolute change
2022
Mediators of Racial Disparity in the Use of Prostate Magnetic Resonance Imaging Among Patients With Prostate Cancer
Leapman MS, Dinan M, Pasha S, Long J, Washington SL, Ma X, Gross CP. Mediators of Racial Disparity in the Use of Prostate Magnetic Resonance Imaging Among Patients With Prostate Cancer. JAMA Oncology 2022, 8: 687-696. PMID: 35238879, PMCID: PMC8895315, DOI: 10.1001/jamaoncol.2021.8116.Peer-Reviewed Original ResearchConceptsProstate magnetic resonance imagingMagnetic resonance imagingPopulation-based cohort studyProstate cancerWhite patientsRacial disparitiesCohort studyMRI useIndividual-level socioeconomic statusEligible male patientsSocioeconomic statusNeighborhood-level socioeconomic statusLocalized prostate cancerProstate cancer diagnosisObserved racial disparitiesProstate magnetic resonanceMediation analysisPathologic factorsMale patientsUS SurveillanceBlack patientsMedicare databaseMAIN OUTCOMEUS adultsNew diagnosis
2020
Socioeconomic status and childhood central nervous system tumors in California
Francis SS, Wang R, Enders C, Prado I, Wiemels JL, Ma X, Metayer C. Socioeconomic status and childhood central nervous system tumors in California. Cancer Causes & Control 2020, 32: 27-39. PMID: 33113073, DOI: 10.1007/s10552-020-01348-3.Peer-Reviewed Original ResearchConceptsPrimary CNS tumorsCentral nervous system tumorsChildhood CNS tumorsCNS tumorsNervous system tumorsSocioeconomic statusSystem tumorsChildhood central nervous system tumorsCalifornia Cancer RegistryCalifornia birth recordsSubset of subjectsHigher socioeconomic statusCancer RegistryCancer mortalitySubgroup analysisRisk factorsChildhood cancerSubsequent riskEmbryonal tumorsParental socioeconomic statusInsurance utilizationBirth recordsTumorsMedian household incomeSpecific exposures
2018
Association Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer
Leapman MS, Wang R, Park HS, Yu JB, Weinreb JC, Gross CP, Ma X. Association Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer. Urology 2018, 124: 98-106. PMID: 30107188, DOI: 10.1016/j.urology.2018.07.041.Peer-Reviewed Original ResearchConceptsLow-risk prostate cancerProstate magnetic resonance imagingMagnetic resonance imagingProstate cancerDefinitive treatmentPCa diagnosisEnd Results-Medicare databaseResonance imagingMultivariable logistic regression analysisPropensity scoreDiagnosis of PCaUse of MRIConditional logistic regression modelsLogistic regression analysisLogistic regression modelsInitial managementMultivariable analysisGreater oddsPatientsSocioeconomic statusDiagnosisHigher likelihoodRegression analysisDemographic factorsCancer
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 ResearchConceptsNeighborhood 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