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 ResearchMeSH KeywordsAdultAge of OnsetBayes TheoremColorectal NeoplasmsFemaleHumansMaleMiddle AgedPrincipal Component AnalysisRisk FactorsSEER ProgramUnited StatesConceptsAge-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
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
2010
Xenobiotic Metabolizing Genes, Meat-Related Exposures, and Risk of Advanced Colorectal Adenoma
Ferrucci LM, Cross AJ, Gunter MJ, Ahn J, Mayne ST, Ma X, Chanock SJ, Yeager M, Graubard BI, Berndt SI, Huang WY, Hayes RB, Sinha R. Xenobiotic Metabolizing Genes, Meat-Related Exposures, and Risk of Advanced Colorectal Adenoma. World Review Of Nutrition And Dietetics 2010, 101: 34-45. PMID: 20436251, PMCID: PMC3051350, DOI: 10.1159/000314509.Peer-Reviewed Original ResearchXenobiotic Metabolizing Genes, Meat-Related Exposures, and Risk of Advanced Colorectal Adenoma
Ferrucci LM, Cross AJ, Gunter MJ, Ahn J, Mayne ST, Ma X, Chanock SJ, Yeager M, Graubard BI, Berndt SI, Huang WY, Hayes RB, Sinha R. Xenobiotic Metabolizing Genes, Meat-Related Exposures, and Risk of Advanced Colorectal Adenoma. Lifestyle Genomics 2010, 3: 170-181. PMID: 21474949, PMCID: PMC3085523, DOI: 10.1159/000324351.Peer-Reviewed Original Research
2009
Intake of meat, meat mutagens, and iron and the risk of breast cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial
Ferrucci LM, Cross AJ, Graubard BI, Brinton LA, McCarty CA, Ziegler RG, Ma X, Mayne ST, Sinha R. Intake of meat, meat mutagens, and iron and the risk of breast cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. British Journal Of Cancer 2009, 101: 178-184. PMID: 19513076, PMCID: PMC2713710, DOI: 10.1038/sj.bjc.6605118.Peer-Reviewed Original ResearchConceptsOvarian Cancer Screening TrialCancer Screening TrialBreast cancerDietary ironMeat mutagensHazard ratioScreening TrialSubsequent breast cancer riskCox proportional hazards regressionInvasive breast cancer casesRed meatFood frequency questionnaireInvasive breast cancerQuintiles of intakeProportional hazards regressionHaem iron intakeIntake of meatBreast cancer riskConfidence intervalsBreast cancer casesHeterocyclic aminesFrequency questionnaireHazards regressionProspective studyIron intakeDietary Meat Intake in Relation to Colorectal Adenoma in Asymptomatic Women
Ferrucci LM, Sinha R, Graubard BI, Mayne ST, Ma X, Schatzkin A, Schoenfeld PS, Cash BD, Flood A, Cross AJ. Dietary Meat Intake in Relation to Colorectal Adenoma in Asymptomatic Women. The American Journal Of Gastroenterology 2009, 104: ajg2009102. PMID: 19367270, PMCID: PMC2891034, DOI: 10.1038/ajg.2009.102.Peer-Reviewed Original ResearchMeSH KeywordsAdenomaAdultAgedColonoscopyColorectal NeoplasmsConfidence IntervalsCookingCross-Sectional StudiesDietFemaleFollow-Up StudiesHeterocyclic CompoundsHumansIncidenceLogistic ModelsMass ScreeningMeat ProductsMiddle AgedMultivariate AnalysisOdds RatioReference ValuesRisk AssessmentSeverity of Illness IndexConceptsColorectal adenomasAsymptomatic womenMeat intakeOdds ratioRed meatMeat-cooking methodsColorectal adenoma casesConfidence intervalsPan-fried meatDietary meat intakeEligible womenDoneness levelFood frequencyAdenoma casesHigh intakeAdenomasMeat mutagensLogistic regressionIntakeWomenScreening studyColonoscopyComponents of meatPositive associationFurther investigation