2024
Disparities in Colorectal Cancer Screening Before and After the Onset of the COVID Pandemic
Siddique S, Wang R, Gaddy J, Stempel J, Warren J, Gross C, Ma X. Disparities in Colorectal Cancer Screening Before and After the Onset of the COVID Pandemic. Journal Of General Internal Medicine 2024, 1-9. PMID: 39495455, DOI: 10.1007/s11606-024-09153-3.Peer-Reviewed Original ResearchRisk of CRCSocioeconomic statusCRC screeningArea-level socioeconomic measuresArea-level socioeconomic factorsHigher risk of CRCArea residentsColorectal cancer screeningSocial deprivation indexHigher socioeconomic statusLow socioeconomic statusEthnic minoritized populationsDifference-in-differences analysisPost-onset periodDesignRetrospective cohort studyDeprivation indexCancer screeningSocioeconomic measuresPrivately insured individualsMetropolitan area residentsCOVID pandemicScreen useAverage riskCompare disparitiesSocioeconomic factorsUSPSTF 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
Incarceration and Cancer-Related Outcomes (ICRO) study protocol: using a mixed-methods approach to investigate the role of incarceration on cancer incidence, mortality and quality of care
Puglisi L, Halberstam AA, Aminawung J, Gallagher C, Gonsalves L, Schulman-Green D, Lin HJ, Metha R, Mun S, Oladeru OT, Gross C, Wang EA. Incarceration and Cancer-Related Outcomes (ICRO) study protocol: using a mixed-methods approach to investigate the role of incarceration on cancer incidence, mortality and quality of care. BMJ Open 2021, 11: e048863. PMID: 34035109, PMCID: PMC8154989, DOI: 10.1136/bmjopen-2021-048863.Peer-Reviewed Original ResearchConceptsQuality of careCancer careCancer incidenceSequential explanatory mixed-methods study designCancer screening ratesConnecticut Tumor RegistrySocioeconomic statusMultivariable logistic regressionExplanatory mixed-methods study designCox survival modelsConnecticut DepartmentHuman Investigation CommitteePaucity of dataInstitutional review boardUniversity Institutional Review BoardMixed-methods study designTumor RegistryScreening ratesCancer mortalityInvasive cancerCancer outcomesCancer disparitiesStudy protocolHigh riskOutcome studies
2017
Use of Alternative Medicine for Cancer and Its Impact on Survival
Johnson SB, Park HS, Gross CP, Yu JB. Use of Alternative Medicine for Cancer and Its Impact on Survival. Journal Of The National Cancer Institute 2017, 110: djx145. PMID: 28922780, DOI: 10.1093/jnci/djx145.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsBreast NeoplasmsChoice BehaviorColorectal NeoplasmsComorbidityComplementary TherapiesEducational StatusFemaleHumansIncomeLung NeoplasmsMaleNeoplasm StagingNorthwestern United StatesPacific StatesPatient PreferenceProstatic NeoplasmsResidence CharacteristicsSex FactorsSurvival RateConceptsConventional cancer treatmentsAlternative medicineColorectal cancerCox proportional hazards regressionGreater riskLower comorbidity scoreMultivariable logistic regressionProportional hazards regressionPatterns of utilizationHigher socioeconomic statusNonmetastatic breastComorbidity scoreHormone therapyCurable cancerHazards regressionLung cancerAM useAnticancer treatmentStage IICancerIndependent covariatesLogistic regressionPatientsCancer treatmentSocioeconomic status