2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger ageUSPSTF 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
2023
Abstract C129: Impact of COVID-19 on colorectal cancer screening disparities: Results from a large commercially insured population in the United States
Siddique A, Wang R, Gaddy J, Gross C, Ma X. Abstract C129: Impact of COVID-19 on colorectal cancer screening disparities: Results from a large commercially insured population in the United States. Cancer Epidemiology Biomarkers & Prevention 2023, 32: c129-c129. DOI: 10.1158/1538-7755.disp23-c129.Peer-Reviewed Original ResearchBlue Cross Blue ShieldColorectal cancer screeningColorectal cancer screening disparitiesLow socioeconomic statusCancer screening disparitiesScreening ratesHigher socioeconomic statusSocioeconomic statusScreening disparitiesCommercially insured populationColorectal cancerColorectal cancer screening ratesImpact of COVID-19Burden of colorectal cancerColorectal cancer incidenceCancer health disparitiesCRC-related mortalityNeighborhood socioeconomic statusSocioeconomic status quintileSocial deprivation indexSocioeconomic status areasNon-Hispanic blacksNon-urgent careSocially deprived areasEthnic minoritized populations
2021
Analysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database
Cheng E, Blackburn HN, Ng K, Spiegelman D, Irwin ML, Ma X, Gross CP, Tabung FK, Giovannucci EL, Kunz PL, Llor X, Billingsley K, Meyerhardt JA, Ahuja N, Fuchs CS. Analysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database. JAMA Network Open 2021, 4: e2112539. PMID: 34132794, PMCID: PMC8209612, DOI: 10.1001/jamanetworkopen.2021.12539.Peer-Reviewed Original ResearchConceptsEarly-onset colorectal cancerOnset colorectal cancerNational Cancer DatabaseColorectal cancerAge 51Overall survivalCancer DatabaseIncidence of CRCCox proportional hazards regressionPrimary colorectal cancerKaplan-Meier analysisProportional hazards regressionAge 50 yearsAge 25 yearsAnalysis of survivalCohort studySurvival benefitHazards regressionUnadjusted analysesCancer incidenceMAIN OUTCOMEAge 35Survival advantageLower riskStage I
2015
Use of acetochlor and cancer incidence in the Agricultural Health Study
Lerro CC, Koutros S, Andreotti G, Hines CJ, Blair A, Lubin J, Ma X, Zhang Y, Beane Freeman L. Use of acetochlor and cancer incidence in the Agricultural Health Study. International Journal Of Cancer 2015, 137: 1167-1175. PMID: 25559664, PMCID: PMC4492894, DOI: 10.1002/ijc.29416.Peer-Reviewed Original ResearchConceptsAgricultural Health StudyLung cancerPancreatic cancerCancer incidenceRelative riskHealth StudyColorectal cancer riskExposure-response trendsAdditional potential confoundersRisk of melanomaTime of interviewIncident cancerColorectal cancerPotential confoundersEpidemiologic studiesCancer riskPoisson regressionCancerTelephone interviewsPesticide applicatorsDefinitive conclusionsConfidence intervalsRiskMelanomaIncidence