2018
Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach.
Jeon J, Holford TR, Levy DT, Feuer EJ, Cao P, Tam J, Clarke L, Clarke J, Kong CY, Meza R. Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach. Annals Of Internal Medicine 2018, 169: 684-693. PMID: 30304504, PMCID: PMC6242740, DOI: 10.7326/m18-1250.Peer-Reviewed Original ResearchConceptsLung cancer mortalityTobacco control effortsCancer mortalityLung cancer ratesLung cancerCancer ratesLung cancer burdenLung cancer deathsLung cancer screeningSmoking-related diseasesU.S. populationNational Cancer InstituteLonger life expectancyCancer burdenSmoking patternsCancer deathCessation effortsCancer screeningTobacco useCancer InstituteSmokingAdditional preventionNatural historyMortalityCancerA spatiotemporal back‐calculation approach to estimate cancer incidence measures
Nautiyal N, Holford TR. A spatiotemporal back‐calculation approach to estimate cancer incidence measures. Statistics In Medicine 2018, 37: 4472-4489. PMID: 30155939, DOI: 10.1002/sim.7934.Peer-Reviewed Original Research
2015
Age‐Period‐Cohort approaches to back‐calculation of cancer incidence rate
Oh C, Holford TR. Age‐Period‐Cohort approaches to back‐calculation of cancer incidence rate. Statistics In Medicine 2015, 34: 1953-1964. PMID: 25715831, PMCID: PMC4980760, DOI: 10.1002/sim.6464.Peer-Reviewed Original ResearchConceptsCancer incidence ratesEstimates of incidenceHealth care planningCancer deathLung cancerCancer prevalenceCancer incidenceIncidence rateHealthy subjectsCare planningSurvival informationMortality statisticsCancerIncidence casesIncidenceAge periodDeathSubjectsCompartment modelCohortMortalityPrevalence
2012
Chapter 4: Development of the Counterfactual Smoking Histories Used to Assess the Effects of Tobacco Control
Holford TR, Clark L. Chapter 4: Development of the Counterfactual Smoking Histories Used to Assess the Effects of Tobacco Control. Risk Analysis 2012, 32: s39-s50. PMID: 22882891, PMCID: PMC3490210, DOI: 10.1111/j.1539-6924.2011.01759.x.Peer-Reviewed Original ResearchConceptsTobacco controlNational Health Interview SurveyLung cancer mortalityNumber of cigarettesLung cancer modelHealth Interview SurveySurveillance Modeling NetworkSurgeon General's ReportSmoking historyCessation ratesCigarette smokingCancer mortalityCancer modelCancer interventionInterview SurveySmokingPublic healthCigarettesReportControl programsGeneral's ReportControlMortalityWomenChapter 14: Comparing the Adequacy of Carcinogenesis Models in Estimating U.S. Population Rates for Lung Cancer Mortality
Holford TR, Levy DT. Chapter 14: Comparing the Adequacy of Carcinogenesis Models in Estimating U.S. Population Rates for Lung Cancer Mortality. Risk Analysis 2012, 32: s179-s189. PMID: 22882888, PMCID: PMC3478769, DOI: 10.1111/j.1539-6924.2011.01734.x.Peer-Reviewed Original ResearchConceptsLung cancer mortalityCancer mortalityCarcinogenesis modelLung cancer mortality ratesU.S. population ratesEffect of smokingCancer Prevention StudyCancer mortality ratesPopulation ratesTwo-stage clonal expansion modelEffect of ageSmoking trendsLung cancerPrevention StudyEstimates of riskMortality rateClonal expansionClonal expansion modelCohort modelSmokingIndividual cohortsCohortMortalityU.S. malesTemporal trendsImpact of Reduced Tobacco Smoking on Lung Cancer Mortality in the United States During 1975–2000
Moolgavkar SH, Holford TR, Levy DT, Kong CY, Foy M, Clarke L, Jeon J, Hazelton WD, Meza R, Schultz F, McCarthy W, Boer R, Gorlova O, Gazelle GS, Kimmel M, McMahon PM, de Koning HJ, Feuer EJ. Impact of Reduced Tobacco Smoking on Lung Cancer Mortality in the United States During 1975–2000. Journal Of The National Cancer Institute 2012, 104: 541-548. PMID: 22423009, PMCID: PMC3317881, DOI: 10.1093/jnci/djs136.Peer-Reviewed Original ResearchConceptsLung cancer deathsLung cancer mortalityCancer deathSmoking behaviorCancer mortalityMajor public health problemTobacco controlPublic health problemTobacco control strategiesNumber of deathsSmoking historyTobacco smokingLung cancerGroups of investigatorsBirth cohortHealth problemsFirst reportSmokingMortalityDeathUnited StatesWomenMenCohortCancer
2007
Physiogenomic comparison of weight profiles of olanzapine- and risperidone-treated patients
Ruaño G, Goethe J, Caley C, Woolley S, Holford T, Kocherla M, Windemuth A, Leon J. Physiogenomic comparison of weight profiles of olanzapine- and risperidone-treated patients. Molecular Psychiatry 2007, 12: 474-482. PMID: 17199131, DOI: 10.1038/sj.mp.4001944.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAnalysis of VarianceAntipsychotic AgentsApolipoproteinsAppetite RegulationAryldialkylphosphataseBenzodiazepinesCross-Sectional StudiesFemaleGenomicsHumansLipid MetabolismMaleMental DisordersMiddle AgedOlanzapinePolymorphism, Single NucleotideReceptors, Cell SurfaceReceptors, LeptinReceptors, Neuropeptide YRisperidoneScavenger Receptors, Class BWeight GainConceptsSingle nucleotide polymorphismsPhysiogenomic analysisNeuropeptide Y receptor Y5Receptor single nucleotide polymorphismsScavenger receptor class BRisperidone-treated patientsSide effect profileReceptor class BDrug-specific mechanismsSimilar side effectsGenetic associationAtypical antipsychoticsEffect profileAppetite peptidesApolipoprotein ELeptin receptorParaoxonase 1Side effectsPatientsOlanzapineRisperidoneElevated weightApolipoprotein A4Lipid homeostasisMember 1
2002
Use of hair colouring products and breast cancer risk a case–control study in Connecticut
Zheng T, Holford T, Mayne S, Owens P, Boyle P, Zhang B, Zhang Y, Zahm S. Use of hair colouring products and breast cancer risk a case–control study in Connecticut. European Journal Of Cancer 2002, 38: 1647-1652. PMID: 12142056, DOI: 10.1016/s0959-8049(02)00138-7.Peer-Reviewed Original ResearchA case-control study of occupation and breast-cancer risk in Connecticut.
Zheng T, Holford T, Taylor Mayne S, Luo J, Hansen Owens P, Hoar Zahm S, Zhang B, Zhang Y, Zhang W, Jiang Y, Boyle P. A case-control study of occupation and breast-cancer risk in Connecticut. Journal Of Cancer Epidemiology And Prevention 2002, 7: 3-11. PMID: 12369604, DOI: 10.1080/14766650252962621.Peer-Reviewed Original Research
2001
Restricted activity among community-living older persons: incidence, precipitants, and health care utilization.
Gill T, Desai M, Gahbauer E, Holford T, Williams C. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Annals Of Internal Medicine 2001, 135: 313-21. PMID: 11529694, DOI: 10.7326/0003-4819-135-5-200109040-00007.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAgedAged, 80 and overCohort StudiesDisabled PersonsFemaleHealth ServicesHumansMaleRisk AssessmentRisk FactorsConceptsCommunity-living older personsHealth care utilizationCare utilizationRestricted activityOlder personsProspective cohort studyEmergency department visitsMonthly telephone interviewsPhysician office visitsLarge health planYears of ageHealth-related problemsCohort studyDepartment visitsHospital admissionOffice visitsFunctional statusMedical attentionHigh riskHealth plansTelephone interviewsMonthsConsecutive monthsEpisodesDisability
2000
Pulse pressure and risk for myocardial infarction and heart failure in the elderly
Vaccarino V, Holford T, Krumholz H. Pulse pressure and risk for myocardial infarction and heart failure in the elderly. Journal Of The American College Of Cardiology 2000, 36: 130-138. PMID: 10898424, DOI: 10.1016/s0735-1097(00)00687-2.Peer-Reviewed Original ResearchConceptsCongestive heart failureCoronary heart diseaseSystolic blood pressureCardiovascular end pointsDiastolic blood pressurePulse pressureBlood pressureEnd pointHeart failureIndependent predictorsOverall mortalityIncidence of CHFIncidence of CHDEffect of PPElevated systolic blood pressureCurrent hypertension guidelinesIncident CHF eventsCHD risk factorsCurrent medication useIncident CHD eventsPowerful independent predictorBlood pressure parametersBlood pressure variablesElevated pulse pressureDiastolic hypertension
1999
A Multicomponent Intervention to Prevent Delirium in Hospitalized Older Patients
Inouye S, Bogardus S, Charpentier P, Leo-Summers L, Acampora D, Holford T, Cooney L. A Multicomponent Intervention to Prevent Delirium in Hospitalized Older Patients. New England Journal Of Medicine 1999, 340: 669-676. PMID: 10053175, DOI: 10.1056/nejm199903043400901.Peer-Reviewed Original ResearchConceptsSeverity of deliriumRisk factorsCognitive impairmentRecurrence rateIntervention groupRisk factor intervention strategyHearing impairmentVisual impairmentHospitalized Older PatientsPatients 70 yearsPrevention of deliriumUsual care unitsUsual care groupGeneral medicine serviceEffective treatment strategiesDuration of episodesPrevent DeliriumOlder patientsRate of usePrimary outcomeSleep medicationPoor outcomePrimary preventionPatient's deliriumTeaching hospital
1997
Risk of tongue cancer associated with tobacco smoking and alcohol consumption: a case-control study
Zheng T, Holford T, Chen Y, Jiang P, Zhang B, Boyle P. Risk of tongue cancer associated with tobacco smoking and alcohol consumption: a case-control study. Oral Oncology 1997, 33: 82-85. PMID: 9231164, DOI: 10.1016/s0964-1955(96)00056-5.Peer-Reviewed Original ResearchConceptsTongue cancerCase-control studyTobacco smokingAlcohol drinkingRisk factorsCurrent smokersCigarette equivalentsQuitting smokingEffect modificationTobacco consumptionSmokingAlcohol consumptionNumber of casesSignificant associationCancerYoung populationRiskRecent studiesDrinkingDaysSmokersYearsStudyDiseaseWeeks
1996
Sex Differences in Survival After Myocardial Infarction in Older Adults: A Community‐Based Approach
Vaccarino V, Krumholz H, de Leon C, Holford T, Seeman T, Horwitz R, Berkman L. Sex Differences in Survival After Myocardial Infarction in Older Adults: A Community‐Based Approach. Journal Of The American Geriatrics Society 1996, 44: 1174-1182. PMID: 8855995, DOI: 10.1111/j.1532-5415.1996.tb01366.x.Peer-Reviewed Original ResearchConceptsMyocardial infarctionMultivariable adjustmentClinical severityRelative riskPsychosocial factorsOlder individualsProspective cohort studyMain outcome measuresDemographic factorsSex differencesHospital complicationsCause mortalityLate mortalityClinical characteristicsCohort studyCT cohortHospital admissionOverall mortalityEarly mortalityElderly ProgramMean agePhysical functionFunctional statusMedical recordsOutcome measuresTime trend and age‐period‐cohort effect on incidence of thyroid cancer in Connecticut, 1935–1992
Zheng T, Holford T, Chen Y, Z. J, Flannery J, Liu W, Russi M, Boyle P. Time trend and age‐period‐cohort effect on incidence of thyroid cancer in Connecticut, 1935–1992. International Journal Of Cancer 1996, 67: 504-509. PMID: 8759608, DOI: 10.1002/(sici)1097-0215(19960807)67:4<504::aid-ijc7>3.0.co;2-w.Peer-Reviewed Original ResearchConceptsThyroid cancerChildhood conditionsOverall age-adjusted incidence rateStrong birth cohort effectAge-adjusted incidence ratesRadiation treatmentBirth cohort effectsBirth cohort analysisTime trendsCohort effectsObserved time trendsIncidence ratePapillary carcinomaCohort analysisCancerCohortIncidenceNeckMalesFemalesUnited StatesRecent studiesTreatmentCurrent studyCarcinomaThe Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon
ZHENG T, HOLFORD T, MA Z, CHEN Y, LIU W, WARD B, BOYLE P. The Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon. International Journal Of Epidemiology 1996, 25: 252-258. PMID: 9119549, DOI: 10.1093/ije/25.2.252.Peer-Reviewed Original ResearchConceptsUterine cervixInvasive adenocarcinomaBirth cohortStrong birth cohort effectTime trendsBirth-cohort patternEnd Results (SEER) dataBirth-cohort phenomenonAnalytical epidemiological studiesBirth cohort effectsRecent birth cohortsObserved time trendsYoung white womenRisk factorsEpidemiological studiesCervixAdenocarcinomaCohort patternsCohort phenomenonCohortWhite womenCohort modelCohort effectsObserved increaseResult dataA MODEL FOR THE EFFECT OF CIGARETTE SMOKING ON LUNG CANCER INCIDENCE IN CONNECTICUT
HOLFORD T, ZHANG Z, ZHENG T, MCKAY L. A MODEL FOR THE EFFECT OF CIGARETTE SMOKING ON LUNG CANCER INCIDENCE IN CONNECTICUT. Statistics In Medicine 1996, 15: 565-580. PMID: 8731001, DOI: 10.1002/(sici)1097-0258(19960330)15:6<565::aid-sim185>3.0.co;2-t.Peer-Reviewed Original ResearchConceptsLung cancer incidenceCancer incidenceIncidence rateLung cancer incidence ratesLung cancer incidence trendsEffect of smokingCancer incidence ratesCancer incidence trendsCohort studyCurrent smokersLevel of exposureMale smokersSmoking historySmoking subgroupsSmoking informationCigarette smokingMean durationSmoking prevalenceIncidence trendsSmokersSmokingPrevalenceCohort effectsAge distributionIncidence
1995
Time trend in pancreatic cancer incidence in connecticut, 1935–1990
Zheng T, Holford T, Ward B, McKay L, Flannery J, Boyle P. Time trend in pancreatic cancer incidence in connecticut, 1935–1990. International Journal Of Cancer 1995, 61: 622-627. PMID: 7768634, DOI: 10.1002/ijc.2910610507.Peer-Reviewed Original ResearchConceptsOverall age-adjusted incidence rateAge-adjusted incidence ratesIncidence rateRecent birth cohortsPancreatic cancerBirth cohortIncident pancreatic cancer casesPancreatic cancer incidence ratesAge groupsAge-specific incidence ratesPancreatic cancer incidenceConnecticut Tumor RegistryBirth cohort trendsPancreatic cancer casesCancer incidence ratesTumor RegistryCancer incidenceCancer casesCohort modelingCohort trendsTime trendsCohortCancerIncidenceSex
1994
Time trend and the age‐period‐cohort effect on the incidence of histologic types of lung cancer in connecticut, 1960‐1989
Zheng T, Holford T, Boyle P, Chen Y, Ward B, Flannery J, Mayne S. Time trend and the age‐period‐cohort effect on the incidence of histologic types of lung cancer in connecticut, 1960‐1989. Cancer 1994, 74: 1556-1567. PMID: 8062189, DOI: 10.1002/1097-0142(19940901)74:5<1556::aid-cncr2820740511>3.0.co;2-0.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdenocarcinoma, Bronchiolo-AlveolarAdultAge FactorsAgedAged, 80 and overCarcinomaCarcinoma, Small CellCarcinoma, Squamous CellCohort EffectCohort StudiesConnecticutFemaleHumansIncidenceLung NeoplasmsMaleMiddle AgedModels, StatisticalRegistriesSex FactorsSmokingTime FactorsConceptsAge-adjusted incidence ratesMajor histologic typesOverall age-adjusted incidence rateAge-specific incidence ratesHistologic typeLung cancer incidenceLung cancerIncidence rateBirth cohortRecent birth cohortsIncidence patternsObserved time trendsCell carcinomaCancer incidenceTime trendsConnecticut Tumor RegistryIncidence of adenocarcinomaSmall cell carcinomaSquamous cell carcinomaLung cancer casesRecent epidemiologic studiesDifferent histologic typesDifferent incidence patternsObserved incidence patternsTumor RegistryTime trends in the incidence of renal carcinoma: Analysis of connecticut tumor registry data, 1935‐1989
Katz D, Zheng T, Holford T, Flannery J. Time trends in the incidence of renal carcinoma: Analysis of connecticut tumor registry data, 1935‐1989. International Journal Of Cancer 1994, 58: 57-63. PMID: 8014016, DOI: 10.1002/ijc.2910580111.Peer-Reviewed Original ResearchConceptsTransitional cell carcinomaConnecticut Tumor RegistryCell carcinomaIncidence rateRenal cancerPopulation-based cancer registriesIncidence of adenocarcinomaTime trendsCohort effectsRegression modellingEffect of ageTumor RegistryCancer RegistryIncident casesUrinary tractRenal carcinomaBirth cohortCarcinomaAdenocarcinomaRate of riseIncidenceNegative cohort effectRegistryCancerMales