2025
Geographic patterns in wildland fire exposures and county-level lung cancer mortality in the United States
Remigio R, Buller I, Bogle M, Kamenetsky M, Ammons S, Bell J, Fisher J, Freedman N, Jones R. Geographic patterns in wildland fire exposures and county-level lung cancer mortality in the United States. International Journal Of Health Geographics 2025, 24: 8. PMID: 40217528, PMCID: PMC11992742, DOI: 10.1186/s12942-025-00394-x.Peer-Reviewed Original ResearchConceptsLung cancer mortality ratesLung cancer mortalityCigarette smoking prevalenceCancer mortalityWestern USSmoking prevalenceBurned land areasNational Center for Health StatisticsCenter for Health StatisticsLand areaExposure-response assessmentLee's L statisticGeographic patternsMid‐Appalachian regionCombustion by-productsConterminous United StatesSex-SpecificUnited StatesHealth StatisticsEvaluate geographic patternsWildland firesPoisson regressionMultiple comparisonsUS countiesBivariate associationsPredictors and Uptake of Lung Cancer Screening in the US: An Integrative Literature Review
Sarkar S, Choa E, Manzo L, Richman I, Batten J, Raziani Y, Poghosyan H. Predictors and Uptake of Lung Cancer Screening in the US: An Integrative Literature Review. Lung Cancer 2025, 203: 108529. PMID: 40253942, DOI: 10.1016/j.lungcan.2025.108529.Peer-Reviewed Original ResearchConceptsLung cancer screeningCancer screeningUptake of lung cancer screeningLung cancer screening utilizationLung cancer mortalityOrganizational-level policiesIntegrative literature reviewUS-based studiesCancer mortalityUninsured individualsDecision-making resourcesOvid MEDLINEInclusion criteriaOvid EmbaseMedical librariansExclusion criteriaDisparitiesOvidEarly detectionLiterature reviewCINAHLScreeningLung cancerMEDLINEEMBASEScreening History, Stage at Diagnosis, and Mortality in Screen-Detected Breast Cancer
Huang S, Westvold S, Soulos P, Fan J, Winer E, Zhan H, Lustberg M, Lewin J, Robinson T, Dinan M. Screening History, Stage at Diagnosis, and Mortality in Screen-Detected Breast Cancer. JAMA Network Open 2025, 8: e255322. PMID: 40232715, PMCID: PMC12000969, DOI: 10.1001/jamanetworkopen.2025.5322.Peer-Reviewed Original ResearchConceptsBreast cancer-specific mortalityBreast cancer mortalityBreast cancer diagnosisCancer-specific mortalityCancer mortalityCancer diagnosisScreening mammographyHazard of breast cancer-specific deathFee-for-service Medicare Parts AAssociated with reduced breast cancer mortalityLower breast cancer mortalityHazard of breast cancer-specific mortalityBreast cancerImprove breast cancer outcomesScreen-detected breast cancerCohort studyBreast cancer-specific deathStudy of older womenBreast cancer outcomesFee-for-serviceDetection of breast cancerMedicare Part ALater-stage diseaseCox proportional hazards modelsAssociated with early stagesDeveloping a digital video to support lung cancer screening in diverse populations
Lindsay M, Odole I, Belliveau O, Abujarad F, Gross C, Richman I. Developing a digital video to support lung cancer screening in diverse populations. PEC Innovation 2025, 6: 100388. PMID: 40212805, PMCID: PMC11982046, DOI: 10.1016/j.pecinn.2025.100388.Peer-Reviewed Original ResearchLung cancer screeningKnowledge of lung cancer screeningCancer screeningLevels of educational attainmentEducational attainmentKnowledge scoresDiverse populationsPrimary care clinicsLung cancer mortalityParticipants' knowledge scoresLower educational attainmentOpen-ended feedbackScreening behaviorLow dose computed tomographyPatient engagementCare clinicsCancer mortalityAssess knowledgeParticipant feedbackIncreased knowledgeParticipantsAdultsScreeningAttainmentScoresImpact of Tumor Stage on Oncologic Outcomes of High-grade Bacillus Calmette-Guérin Unresponsive Non–muscle-invasive Bladder Cancer Undergoing Bladder-sparing Therapies
Annapureddy D, Taylor J, Kamat A, O'Donnell M, Howard J, Tan W, McElree I, Davaro F, Yim K, Harrington S, Dyer E, Black A, Kanabur P, Roumiguié M, Lerner S, Black P, Raman J, Preston M, Steinberg G, Huang W, Li R, Packiam V, Woldu S, Lotan Y. Impact of Tumor Stage on Oncologic Outcomes of High-grade Bacillus Calmette-Guérin Unresponsive Non–muscle-invasive Bladder Cancer Undergoing Bladder-sparing Therapies. European Urology Focus 2025 PMID: 39922753, DOI: 10.1016/j.euf.2025.01.001.Peer-Reviewed Original ResearchNon-muscle-invasive bladder cancerCarcinoma in situBCG-unresponsive NMIBCBladder-sparing therapyOncological outcomesTumor stageBladder cancer mortalityCancer mortalityAssociated with worse oncologic outcomesPresence of carcinoma in situCarcinoma in situ groupImpact of tumor stageTA groupKaplan-Meier methodPapillary diseaseT1 diseaseRadical cystectomyNo significant differenceClinical stageBladder cancerSurvival differencesRetrospective natureCis groupDisease progressionMetastasisEstimation of Cancer Deaths Averted From Prevention, Screening, and Treatment Efforts, 1975-2020
Goddard K, Feuer E, Mandelblatt J, Meza R, Holford T, Jeon J, Lansdorp-Vogelaar I, Gulati R, Stout N, Howlader N, Knudsen A, Miller D, Caswell-Jin J, Schechter C, Etzioni R, Trentham-Dietz A, Kurian A, Plevritis S, Hampton J, Stein S, Sun L, Umar A, Castle P. Estimation of Cancer Deaths Averted From Prevention, Screening, and Treatment Efforts, 1975-2020. JAMA Oncology 2025, 11: 162-167. PMID: 39636625, PMCID: PMC11622066, DOI: 10.1001/jamaoncol.2024.5381.Peer-Reviewed Original ResearchCancer mortality dataCancer sitesCancer deathMortality dataCancer preventionRemoval of precancerous polypsSmoking reductionCancer control continuumColorectal cancer deathsSurveillance Modeling NetworkBreast cancer deathsLung cancer deathsCervical cancer deathsContribution of preventionScreening uptakeEffectiveness of preventionPrecancerous polypsControl continuumCancer incidenceMultiple birth cohortsCancer mortalityCancer burdenDissemination of effective interventionsCancer survivalMain Outcomes
2024
Data-driven insights into neighborhood adherence to cancer prevention guidelines in Philadelphia
DuBois T, Moore K, Rollins H, Silbaugh J, Sorice K, Lynch S. Data-driven insights into neighborhood adherence to cancer prevention guidelines in Philadelphia. PLOS ONE 2024, 19: e0313334. PMID: 39565787, PMCID: PMC11578512, DOI: 10.1371/journal.pone.0313334.Peer-Reviewed Original ResearchConceptsCancer prevention guidelinesAdherence to cancer prevention guidelinesCancer mortalityGuideline adherencePrevention guidelinesPhysical activityLow cancer screening ratesAmerican Cancer Society guidelinesLow adherenceCancer prevention recommendationsCancer screening ratesLower guideline adherenceHighest cancer burdenBehavioral risk factorsPublic health officialsScreening ratesExcessive alcohol consumptionPreventive servicesCancer burdenPoor healthRecommendation adherencePrevention recommendationsHealthy livingCancer casesModify riskAssociation between mammographic screening history and stage at diagnosis among women with screen-detected breast cancer.
Huang S, Westvold S, Soulos P, Winer E, Robinson T, Dinan M. Association between mammographic screening history and stage at diagnosis among women with screen-detected breast cancer. Journal Of Clinical Oncology 2024, 20: 145-145. DOI: 10.1200/op.2024.20.10_suppl.145.Peer-Reviewed Original ResearchScreen-detected breast cancerBreast cancer mortalityScreening historyScreening mammographyScreening mammogramsCancer mortalityFee-for-service Medicare Parts ABreast cancerBreast cancer-specific mortalityScreening prior to diagnosisNon-Hispanic black raceNegative screening mammogramCohort study of womenFactors associated with increased oddsAssociated with lower riskRetrospective cohort study of womenRoutine screening mammographyMedicare Part AHigh school educationStudy of womenCancer-specific mortalityMultivariate logistic regressionSEER-Medicare databaseClaims-based algorithmSporadic screeningFoundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
Kerdegari H, Higgins K, Veselkov D, Laponogov I, Polaka I, Coimbra M, Pescino A, Leja M, Dinis-Ribeiro M, Kanonnikoff T, Veselkov K. Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation. Diagnostics 2024, 14: 1912. PMID: 39272697, PMCID: PMC11394237, DOI: 10.3390/diagnostics14171912.Peer-Reviewed Original ResearchUpper gastrointestinal (GI) cancerIntestinal metaplasiaGastric cancerGastrointestinal (GI) cancersImprove patient outcomesAccuracy of endoscopyCancer mortalityGlobal cancer mortalityArtificial intelligencePatient outcomesGC casesChronic inflammationRegular surveillanceGastric inflammationDeep learning modelsClinical practiceIntegration of artificial intelligenceIntegration of multimodal dataLarge-scale dataPathology image analysisEndoscopyCancerEarly detectionMultimodal dataPathologyInverse probability weighting to estimate impacts of hypothetical occupational limits on radon exposure to reduce lung cancer
Keil A, Li Y, Lan Q, Bertke S, Daniels R, Edwards J, Kelly-Reif K. Inverse probability weighting to estimate impacts of hypothetical occupational limits on radon exposure to reduce lung cancer. American Journal Of Epidemiology 2024, 194: 1295-1303. PMID: 39168837, PMCID: PMC11973934, DOI: 10.1093/aje/kwae299.Peer-Reviewed Original ResearchHealthy worker survivor biasInverse probability weightingCumulative risk of lung cancerReduce lung cancer mortalitySurvivor biasRisk of lung cancerLung cancer mortalityReduce lung cancerRadon exposureProbability weightingWorking level monthsHealth effectsHealth outcomesCancer mortalityOccupational cohortOccupational limitsCumulative riskLung cancerHealthInverse probabilityUS Mine SafetyWorkersCancerAnnual standardEstimated impactACR Appropriateness Criteria® Female Breast Cancer Screening: 2023 Update
Imaging P, Niell B, Jochelson M, Amir T, Brown A, Adamson M, Baron P, Bennett D, Chetlen A, Dayaratna S, Freer P, Ivansco L, Klein K, Malak S, Mehta T, Moy L, Neal C, Newell M, Richman I, Schonberg M, Small W, Ulaner G, Slanetz P. ACR Appropriateness Criteria® Female Breast Cancer Screening: 2023 Update. Journal Of The American College Of Radiology 2024, 21: s126-s143. PMID: 38823941, DOI: 10.1016/j.jacr.2024.02.019.Peer-Reviewed Original ResearchConceptsReduce breast cancer mortalityRecommendation of mammographyBreast cancerBreast cancer mortalityBreast cancer riskBreast cancer screeningDigital breast tomosynthesisEvidence-based guidelinesAmerican College of Radiology Appropriateness CriteriaPeer-reviewed journalsMultidisciplinary expert panelRAND/UCLA Appropriateness Method User ManualMultiple different imaging modalitiesPeer-reviewed literatureScreening recommendationsCancer screeningCancer mortalityCancer riskGuideline developmentAppropriateness of imagingRecommendations AssessmentBreast tomosynthesisEstablished methodology principlesExpert panelAmerican CollegeHealthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort
Matta K, Viallon V, Botteri E, Peveri G, Dahm C, Nannsen A, Olsen A, Tjønneland A, Elbaz A, Artaud F, Marques C, Kaaks R, Katzke V, Schulze M, Llanaj E, Masala G, Pala V, Panico S, Tumino R, Ricceri F, Derksen J, Nøst T, Sandanger T, Borch K, Quirós J, Castro-Espin C, Sánchez M, Atxega A, Cirera L, Guevara M, Manjer J, Tin Tin S, Heath A, Touvier M, Goldberg M, Weiderpass E, Gunter M, Freisling H, Riboli E, Ferrari P. Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort. BMC Medicine 2024, 22: 210. PMID: 38807179, PMCID: PMC11134634, DOI: 10.1186/s12916-024-03362-7.Peer-Reviewed Original ResearchConceptsHealthy lifestyle indexAssociated with all-causeHealthy lifestyle changesEuropean Prospective InvestigationRisk of deathCancer mortalityFollow-up questionnaireAll-CauseLifestyle changesProspective InvestigationRate advancement periodsUnhealthy lifestyle changesRisk of noncommunicable diseasesCancer and NutritionCancer-free adultsBody mass indexBackgroundHealthy lifestylesLifestyle behaviorsNutrition CohortLifestyle indexLifestyle ProfilePhysical activityAssociated with mortalityNoncommunicable diseasesChange scoresThe association between dietary fiber intake and gastric cancer: a pooled analysis of 11 case–control studies
Collatuzzo G, Cortez Lainez J, Pelucchi C, Negri E, Bonzi R, Palli D, Ferraroni M, Zhang Z, Yu G, Lunet N, Morais S, López-Carrillo L, Zaridze D, Maximovitch D, Guevara M, Santos-Sanchez V, Vioque J, Garcia de la Hera M, Ward M, Malekzadeh R, Pakseresht M, Hernández-Ramírez R, Turati F, Rabkin C, Liao L, Sinha R, López-Cervantes M, Tsugane S, Hidaka A, Camargo M, Curado M, Zubair N, Kristjansson D, Shah S, La Vecchia C, Boffetta P. The association between dietary fiber intake and gastric cancer: a pooled analysis of 11 case–control studies. European Journal Of Nutrition 2024, 63: 1857-1865. PMID: 38687390, PMCID: PMC11329417, DOI: 10.1007/s00394-024-03388-w.Peer-Reviewed Original ResearchDietary fiber intakeCase-control studyFiber intakeQuartiles of dietary fiber intakeOdds ratioStomach cancer PoolingHospital-based case-control studyQuartile of fiber intakeConfidence intervalsFood frequency questionnaireHistological typeMethodsWe pooled dataIntake of dietary fiberMultivariate logistic regression modelAnatomical sitesLogistic regression modelsVegetable intakeResultsThe ORCancer mortalityFrequency questionnaireSocioeconomic statusStratified analysisDietary factorsRegression modelsPooled analysisDiabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium
Ho N, Abe S, Rahman S, Islam R, Saito E, Gupta P, Pednekar M, Sawada N, Tsugane S, Tamakoshi A, Kimura T, Shu X, Gao Y, Koh W, Cai H, Wen W, Sakata R, Tsuji I, Malekzadeh R, Pourshams A, Kanemura S, Kim J, Chen Y, Ito H, Oze I, Nagata C, Wada K, Sugawara Y, Park S, Shin A, Yuan J, Wang R, Kweon S, Shin M, Poustchi H, Vardanjani H, Ahsan H, Chia K, Matsuo K, Qiao Y, Rothman N, Zheng W, Inoue M, Kang D, Boffetta P. Diabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium. International Journal Of Cancer 2024, 155: 854-870. PMID: 38661292, DOI: 10.1002/ijc.34965.Peer-Reviewed Original ResearchLiver cancer incidenceAsia Cohort ConsortiumBaseline diabetesCancer incidenceCohort ConsortiumAssociated with increased liver cancer riskMortality of liver cancerHazard ratioLiver cancer mortalityTwo-stage meta-analysisLiver cancer riskMeta-analysisCox proportional hazards modelsBody mass indexFollow-up timeProportional hazards modelCancer mortalityCancer riskTobacco smokeBaseline ageCumulative incidence of deathCancer diagnosisCohort studyMeta-analytic approachMass indexProstate Cancer Foundation Screening Guidelines for Black Men in the United States.
Garraway I, Carlsson S, Nyame Y, Vassy J, Chilov M, Fleming M, Frencher S, George D, Kibel A, King S, Kittles R, Mahal B, Pettaway C, Rebbeck T, Rose B, Vince R, Winn R, Yamoah K, Oh W. Prostate Cancer Foundation Screening Guidelines for Black Men in the United States. NEJM Evidence 2024, 3: evidoa2300289. PMID: 38815168, DOI: 10.1056/evidoa2300289.Peer-Reviewed Original ResearchConceptsProstate-specific antigenBaseline PSA testingProstate-specific antigen screeningPSA testingProstate cancerScreening guidelinesBlack menBaseline prostate-specific antigenProstate-specific antigen valuesYears of follow-upProstate cancer deathProstate cancer mortalityScreening of menFull-text reviewComprehensive literature searchRandomized Controlled TrialsNon-black menAnnual screeningFrequency of testingIncrease overdiagnosisFollow-upProstateCohort studyCancer mortalityUnited StatesFamily history and gastric cancer incidence and mortality in Asia: a pooled analysis of more than half a million participants
Huang D, Song M, Abe S, Rahman M, Islam M, Saito E, De la Torre K, Sawada N, Tamakoshi A, Shu X, Cai H, Hozawa A, Kanemura S, Kim J, Chen Y, Ito H, Sugawara Y, Park S, Shin M, Hirabayashi M, Kimura T, Gao Y, Wen W, Oze I, Shin A, Ahn Y, Ahsan H, Boffetta P, Chia K, Matsuo K, Qiao Y, Rothman N, Zheng W, Inoue M, Kang D. Family history and gastric cancer incidence and mortality in Asia: a pooled analysis of more than half a million participants. Gastric Cancer 2024, 27: 701-713. PMID: 38649672, PMCID: PMC11193690, DOI: 10.1007/s10120-024-01499-1.Peer-Reviewed Original ResearchFamily history of gastric cancerHistory of gastric cancerGastric cancer incidenceIncident gastric cancerCancer incidenceFamily historyRisk of incident gastric cancerBurden of gastric cancerHazard ratioGastric cancer deathsAsia Cohort ConsortiumGastric cancer mortalityRisk of gastric cancerConfidence intervalsGastric cancer riskRandom-effects meta-analysesCox proportional hazards regressionProportional hazards regressionCase-control studyCohort ConsortiumCancer mortalityCancer surveillanceCancer riskTargeted educationStratified analysisAssociations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China
Ni W, Lv Y, Yuan X, Zhang Y, Zhang H, Zheng Y, Shi X, Xu J. Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China. The Journal Of Clinical Endocrinology & Metabolism 2024, 110: e132-e139. PMID: 38436437, DOI: 10.1210/clinem/dgae116.Peer-Reviewed Original ResearchCause-specific mortalityAssociation of low-density lipoprotein cholesterolAll-CauseOlder adultsLDL-C levelsLow-density lipoprotein cholesterolAssociated with increased cancer mortalityHazard ratioRisk of all-cause mortalityCVD-specific mortalityLDL-CMultivariable-adjusted HRCardiovascular diseaseProspective cohort studyLipoprotein cholesterolAll-Cause MortalityCox proportional hazards modelsOther-cause mortalityHealthy aging researchProportional hazards modelCancer mortalityVital statusMultivariate Cox proportional hazards modelLow LDL-C levelsMedian follow-up timeDigital Interventions to Support Lung Cancer Screening: A Systematic Review
Odole I, Andersen M, Richman I. Digital Interventions to Support Lung Cancer Screening: A Systematic Review. American Journal Of Preventive Medicine 2024, 66: 899-908. PMID: 38246408, PMCID: PMC11451259, DOI: 10.1016/j.amepre.2024.01.007.Peer-Reviewed Original ResearchLung cancer screeningMulti-level interventionsJoanna Briggs InstituteDigital interventionsLow-dose computed tomographyDecision aidCancer screeningElectronic health record (EHR)-based interventionsUptake of lung cancer screeningPromote lung cancer screeningEffectiveness of digital interventionsSystematic review INTRODUCTIONImprove knowledgeDiverse healthcare settingsReduce decisional conflictLung cancer mortalityEvaluate implementation strategiesRelated to knowledgeScreening behaviorEngaging patientsDecisional conflictAppraisal toolCancer mortalityScreen useHealthcare settingsAdaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer
Justice A, Tate J, Howland F, Gaziano J, Kelley M, McMahon B, Haiman C, Wadia R, Madduri R, Danciu I, Leppert J, Leapman M, Thurtle D, Gnanapragasam V. Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer. European Urology Oncology 2024, 7: 923-932. PMID: 38171965, DOI: 10.1016/j.euo.2023.11.023.Peer-Reviewed Original ResearchVeterans Health AdministrationCharlson Comorbidity IndexNon-prostate cancer mortalityProstate cancer mortalityNonmetastatic prostate cancerComorbidity indexCancer mortalityProvider estimationProstate cancerHealth AdministrationUS Veterans Health AdministrationElectronic health record-based toolsYear of diagnosisRisk of deathObservational cohortMedian ageNonmetastatic cancerPredicting MortalityC-statisticHispanic ethnicityTreatment groupsMortalityCancerNational validationAgeEffect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study
Kasper G, Momen M, Sorice K, Mayhand K, Handorf E, Gonzalez E, Devlin A, Brownstein K, Esnaola N, Fisher S, Lynch S. Effect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study. BMC Public Health 2024, 24: 63. PMID: 38166942, PMCID: PMC10763410, DOI: 10.1186/s12889-023-17252-9.Peer-Reviewed Original ResearchConceptsLow breast cancerBreast cancerRace/ethnicityOdds ratioAnnual breast cancer screeningMultivariable mixed-effects logistic regression modelSocioeconomic statusBreast cancer mortalityIndividual-level socioeconomic factorsCross-sectional studyMixed effects logistic regression modelsMulti-Ethnic StudyBreast cancer screeningLogistic regression modelsMulti-ethnic populationResultsNineteen percentScreening interventionsCancer mortalityCancer screeningInsurance statusCancerSES indicatorsAdherenceConfidence intervalsSignificant predictors
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