2021
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival
Yang DX, Khera R, Miccio JA, Jairam V, Chang E, Yu JB, Park HS, Krumholz HM, Aneja S. Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival. JAMA Network Open 2021, 4: e211793. PMID: 33755165, PMCID: PMC7988369, DOI: 10.1001/jamanetworkopen.2021.1793.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseNon-small cell lung cancerOverall survivalCell lung cancerCancer DatabaseMedical recordsLung cancerProstate cancerBreast cancerPatient recordsComplete dataRetrospective cohort studyCohort studyCancer RegistryCommon cancerVariables of interestHigh prevalenceMAIN OUTCOMEPatientsClinical advancementReal-world data sourcesCancerPrevalenceSurvivalHeterogeneous differences
2016
National trends and determinants of proton therapy use for prostate cancer: A National Cancer Data Base study
Mahal B, Chen Y, Efstathiou J, Muralidhar V, Hoffman K, Yu J, Feng F, Beard C, Martin N, Orio P, Nguyen P. National trends and determinants of proton therapy use for prostate cancer: A National Cancer Data Base study. Cancer 2016, 122: 1505-1512. PMID: 26970022, DOI: 10.1002/cncr.29960.Peer-Reviewed Original ResearchConceptsProton therapy useProstate cancerProton therapyTherapy useIncreasing use of proton therapyMultivariable adjustmentUse of proton therapyNational Cancer Data BaseLong-term follow-upExternal beam radiotherapyMultivariate logistic regression analysisHigh-grade diseaseNonmetastatic prostate cancerFactors associated with receiptNationwide cancer registryLogistic regression analysisBeam radiotherapyDefinitive therapyOncological therapyNonacademic centersTreated patientsClinical factorsFollow-upProstateCancer Registry
2015
In Reply to Rusthoven and Kavanagh
Jagsi R, Bekelman J, Chen A, Chen R, Hoffman K, Shih Y, Smith B, Yu J. In Reply to Rusthoven and Kavanagh. International Journal Of Radiation Oncology • Biology • Physics 2015, 91: 680-681. PMID: 25680609, DOI: 10.1016/j.ijrobp.2014.11.005.Peer-Reviewed Original Research
2014
Considerations for Observational Research Using Large Data Sets in Radiation Oncology
Jagsi R, Bekelman J, Chen A, Chen R, Hoffman K, Shih Y, Smith B, Yu J. Considerations for Observational Research Using Large Data Sets in Radiation Oncology. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: 11-24. PMID: 25195986, PMCID: PMC4159773, DOI: 10.1016/j.ijrobp.2014.05.013.Peer-Reviewed Original ResearchMeSH KeywordsChecklistComparative Effectiveness ResearchDatabases, FactualDiffusion of InnovationHealth Care CostsHealth Services ResearchHealth SurveysInsurance Claim ReviewMedicareNeoplasmsNomogramsObservational Studies as TopicProfessional PracticePropensity ScorePublication BiasRadiation OncologyRare DiseasesRegistriesResearch DesignSEER ProgramUnited StatesConceptsRadiation oncology communityRadiation oncologyObservational researchHealth services researchObservational studyWell-designed observational studiesOncology communityField of radiation oncologyHealth careServices researchEvaluate causalityObservational analysisData sourcesInternational Journal of Radiation OncologyMethodological expertiseRadiation oncology researchEvaluate evidenceRecognition of limitationsOncologyClinical trialsPotential data sourcesResearch questionsOncology researchHealthMethodological considerations