2024
Association of patient socioeconomic status with outcomes after palliative treatment for disseminated cancer
Maduka R, Canavan M, Walters S, Ermer T, Zhan P, Kaminski M, Li A, Pichert M, Salazar M, Prsic E, Boffa D. Association of patient socioeconomic status with outcomes after palliative treatment for disseminated cancer. Cancer Medicine 2024, 13: e7028. PMID: 38711364, PMCID: PMC11074703, DOI: 10.1002/cam4.7028.Peer-Reviewed Original ResearchConceptsOptimal quality of careQuality of carePatient socioeconomic statusAssociated with improved qualityAssociated with improved quality of lifeEnd-of-lifeUS cancer populationPalliative treatmentQuality of lifeCox proportional hazards modelsMultivariate logistic regressionInformed decision makingProportional hazards modelFacility characteristicsNon-HispanicAssociated with lower ratesInsurance payer statusImproving informed decision makingCancer populationSocioeconomic statusHispanic ethnicityTreatment usePayer statusBlack raceLogistic regressionMedicaid Expansion Under the Affordable Care Act and Early Mortality Following Lung Cancer Surgery
Nogueira L, Boffa D, Jemal A, Han X, Yabroff K. Medicaid Expansion Under the Affordable Care Act and Early Mortality Following Lung Cancer Surgery. JAMA Network Open 2024, 7: e2351529. PMID: 38214932, PMCID: PMC10787311, DOI: 10.1001/jamanetworkopen.2023.51529.Peer-Reviewed Original ResearchConceptsMedicaid expansion statusNon-small cell lung cancerMedicaid expansion statesMedicaid expansionSurgical resection of non-small cell lung cancerResection of non-small cell lung cancerDifference-in-differencesExpansion statesPatients' state of residenceNonexpansion statesCohort studyAssociation of Medicaid expansionExpansion statusPostoperative mortalityDifference-in-differences analysisStudy population characteristicsState of residenceAffordable Care ActHealth insurance coverageCohort study of patientsSurgical resectionEarly mortalityMain OutcomesAssociated with declinesCancer outcomes
2022
Evaluating information loss in the National Cancer Database from cases lost to follow‐up
Cotler JH, Nogueira L, McCabe R, Nelson H, Brajcich BC, Boffa DJ, Lum SS, Harris JB, Hawhee V, Mullett TW, Bilimoria KY, Palis BE. Evaluating information loss in the National Cancer Database from cases lost to follow‐up. Journal Of Surgical Oncology 2022, 126: 1123-1132. PMID: 36029288, DOI: 10.1002/jso.26977.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseCancer casesPediatric casesAdult casesCancer DatabaseRectal cancer casesLung cancer casesMean survival timeBreast cancer casesHazard ratioCancer RegistryYears postdiagnosisSurvival outcomesLymphoma casesSurvival timeLeukemia casesSurvival analysisResource burdenFollowTotalMinimal differencesYearsAnnual increasePostdiagnosisPatientsAcceptance of Simulated Adult Patients With Medicaid Insurance Seeking Care in a Cancer Hospital for a New Cancer Diagnosis
Marks VA, Hsiang WR, Nie J, Demkowicz P, Umer W, Haleem A, Galal B, Pak I, Kim D, Salazar MC, Berger ER, Boffa DJ, Leapman MS. Acceptance of Simulated Adult Patients With Medicaid Insurance Seeking Care in a Cancer Hospital for a New Cancer Diagnosis. JAMA Network Open 2022, 5: e2222214. PMID: 35838668, PMCID: PMC9287756, DOI: 10.1001/jamanetworkopen.2022.22214.Peer-Reviewed Original ResearchConceptsNew cancer diagnosesMedicaid insuranceCancer careAdult patientsSkin cancerComprehensive community cancer programsMultivariable logistic regression modelMedicaid acceptanceCancer-accredited facilitiesCancer diagnosisCommunity cancer programsBreast cancer carePopulation of patientsState Medicaid expansion statusCancer care servicesFacility-level factorsAbility of patientsAmerican Hospital Association Annual SurveyMedicaid expansion statusHigh-quality careLogistic regression modelsCancer HospitalCommon cancerFindings highlight gapsCancer programsAppendiceal Cancer in the National Cancer Database: Increasing Frequency, Decreasing Age, and Shifting Histology.
Salazar MC, Canavan ME, Chilakamarry S, Boffa DJ, Schuster KM. Appendiceal Cancer in the National Cancer Database: Increasing Frequency, Decreasing Age, and Shifting Histology. Journal Of The American College Of Surgeons 2022, 234: 1082-1089. PMID: 35703801, DOI: 10.1097/xcs.0000000000000172.Peer-Reviewed Original ResearchConceptsRight-sided colon cancerNational Cancer DatabaseAppendiceal cancerColon cancerAcute appendicitisNonoperative managementCancer DatabasePatients 49 yearsPatients 18 yearsArea of residenceLogistic regression modelsAppendiceal histologyPatients 40Appendectomy specimensPatient ageCarcinoid tumorsAppendiceal carcinoidsCancer incidenceCancer histologySmall studyAge groupsCancerCarcinoidsLogistic regressionHistology
2021
Randomized Phase II Study of PET Response–Adapted Combined Modality Therapy for Esophageal Cancer: Mature Results of the CALGB 80803 (Alliance) Trial
Goodman KA, Ou FS, Hall NC, Bekaii-Saab T, Fruth B, Twohy E, Meyers MO, Boffa DJ, Mitchell K, Frankel WL, Niedzwiecki D, Noonan A, Janjigian YY, Thurmes PJ, Venook AP, Meyerhardt JA, O'Reilly EM, Ilson DH. Randomized Phase II Study of PET Response–Adapted Combined Modality Therapy for Esophageal Cancer: Mature Results of the CALGB 80803 (Alliance) Trial. Journal Of Clinical Oncology 2021, 39: 2803-2815. PMID: 34077237, PMCID: PMC8407649, DOI: 10.1200/jco.20.03611.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCarboplatinChemoradiotherapyCombined Modality TherapyEsophageal NeoplasmsFemaleFluorodeoxyglucose F18FluorouracilFollow-Up StudiesHumansLeucovorinMaleMiddle AgedOxaliplatinPositron-Emission TomographyPrognosisRadiopharmaceuticalsSurvival RateYoung AdultConceptsPositron emission tomographyRepeat positron emission tomographyPET respondersEsophagogastric junction adenocarcinomaStandardized uptake valueInduction FOLFOXPET nonrespondersPCR rateOverall survivalJunction adenocarcinomaPathologic complete response rateRandomized phase II studyBaseline positron emission tomographyMaximum standardized uptake valueInduction chemotherapy regimenComplete response rateEarly response assessmentMedian overall survivalPhase II studyPrimary end pointCombined modality therapySame chemotherapyChemotherapy regimenEligible patientsII study
2020
Intestinal metaplasia around the gastroesophageal junction is frequently associated with antral reactive gastropathy: implications for carcinoma at the gastroesophageal junction
Vyas M, Celli R, Singh M, Patel N, Aslanian HR, Boffa D, Deng Y, Ciarleglio MM, Laine L, Jain D. Intestinal metaplasia around the gastroesophageal junction is frequently associated with antral reactive gastropathy: implications for carcinoma at the gastroesophageal junction. Human Pathology 2020, 105: 67-73. PMID: 32941964, PMCID: PMC11152084, DOI: 10.1016/j.humpath.2020.08.007.Peer-Reviewed Original ResearchConceptsNonsteroidal anti-inflammatory drugsBile refluxIntestinal metaplasiaReactive gastropathyGEJ regionMucosal injuryMucosal changesGastroesophageal junctionAntral intestinal metaplasiaDistal esophageal adenocarcinomaDetailed clinical historySex-matched patientsGastric antral biopsiesAnti-inflammatory drugsGastric bile refluxMucosal inflammationProximal stomachDistal esophagusMedication usePancreatic metaplasiaPathology databaseProximal gastricAntral biopsiesClinical historyGastric biopsiesEvaluation of Cancer Care After Medicaid Expansion Under the Affordable Care Act
Salazar MC, Canavan ME, Walters SL, Herrin J, Schwartz JL, Leapman M, Boffa DJ. Evaluation of Cancer Care After Medicaid Expansion Under the Affordable Care Act. JAMA Network Open 2020, 3: e2017544. PMID: 32990734, PMCID: PMC7525361, DOI: 10.1001/jamanetworkopen.2020.17544.Peer-Reviewed Original ResearchSurgically Managed Signet Ring Cell Esophageal Carcinomas in the National Cancer Database
Sathe TS, Resio BJ, Hoag JR, Monsalve AF, Pathak R, Blasberg JD, Mase V, Dhanasopon A, Boffa DJ. Surgically Managed Signet Ring Cell Esophageal Carcinomas in the National Cancer Database. The Annals Of Thoracic Surgery 2020, 109: 1656-1662. PMID: 32109449, DOI: 10.1016/j.athoracsur.2020.01.021.Peer-Reviewed Original ResearchConceptsSignet ring cell adenocarcinomaNational Cancer DatabaseSRC tumorsACA patientsCancer DatabaseProportional hazards regression modelsCommon histologic variantRole of esophagectomyClinical stage IRole of surgeryHazards regression modelsHigh-grade tumorsSRC histologySRC patientsAdult patientsComplete resectionWorse prognosisCell adenocarcinomaEsophageal cancerEsophageal carcinomaHistologic variantsSuperior survivalEsophageal adenocarcinomaTreatment characteristicsClinical recommendations
2019
Digital Inference of Immune Microenvironment Reveals Low-Risk Subtype of Early Lung Adenocarcinoma
Kurbatov V, Balayev A, Saffarzadeh A, Heller DR, Boffa DJ, Blasberg JD, Lu J, Khan SA. Digital Inference of Immune Microenvironment Reveals Low-Risk Subtype of Early Lung Adenocarcinoma. The Annals Of Thoracic Surgery 2019, 109: 343-349. PMID: 31568747, DOI: 10.1016/j.athoracsur.2019.08.050.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma of LungAdultAgedCohort StudiesDatabases, FactualDisease-Free SurvivalFemaleHumansImmunotherapyKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPneumonectomyPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentSurvival AnalysisTumor MicroenvironmentConceptsTumor immune microenvironmentImmune microenvironmentLung adenocarcinomaOverall survivalRisk groupsMast cellsCox proportional hazard modelingEarly-stage lung adenocarcinomaLow-risk subtypesKaplan-Meier analysisPathological staging systemProportional hazard modelingImproved clinical outcomesCancer immune microenvironmentImmune cell typesEarly lung adenocarcinomaActivation stateClinical outcomesValidation cohortMacrophage contentStaging systemMultivariable modelCIBERSORT analysisPatientsClinical decisionComparison of Survival Rates After a Combination of Local Treatment and Systemic Therapy vs Systemic Therapy Alone for Treatment of Stage IV Non–Small Cell Lung Cancer
Uhlig J, Case MD, Blasberg JD, Boffa DJ, Chiang A, Gettinger SN, Kim HS. Comparison of Survival Rates After a Combination of Local Treatment and Systemic Therapy vs Systemic Therapy Alone for Treatment of Stage IV Non–Small Cell Lung Cancer. JAMA Network Open 2019, 2: e199702. PMID: 31433481, PMCID: PMC6707019, DOI: 10.1001/jamanetworkopen.2019.9702.Peer-Reviewed Original ResearchMeSH KeywordsAblation TechniquesAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantComparative Effectiveness ResearchDatabases, FactualFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingPneumonectomyProportional Hazards ModelsRadiotherapy, AdjuvantRetrospective StudiesSurvival RateTreatment OutcomeYoung AdultConceptsStage IV non-small cell lung cancerNon-small cell lung cancerPrimary tumor siteSuperior overall survivalSystemic therapySurgical resectionCell lung cancerExternal beam radiotherapyOverall survivalSurvival benefitLocal treatmentTumor siteTumor characteristicsLung cancerTreatment groupsMultivariable Cox proportional hazards regression modelsOligometastatic non-small cell lung cancerStage IV squamous cell carcinomaSurvival rateCox proportional hazards regression modelProportional hazards regression modelsComparative effectiveness research studyCancer-specific factorsNational Cancer DatabaseStage IV disease
2018
Variable impact of prior cancer history on the survival of lung cancer patients
Monsalve AF, Hoag JR, Resio BJ, Chiu AS, Brown LB, Detterbeck FC, Blasberg JD, Boffa DJ. Variable impact of prior cancer history on the survival of lung cancer patients. Lung Cancer 2018, 127: 130-137. PMID: 30642541, DOI: 10.1016/j.lungcan.2018.11.040.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPrior cancer historyNational Cancer DatabaseCancer historyOverall survivalNSCLC patientsMultivariable Cox proportional hazards regression modelsTreatment approachesCox proportional hazards regression modelProportional hazards regression modelsKaplan-Meier survival curvesNSCLC patient survivalCell lung cancerHazards regression modelsLung cancer patientsPrior cancerPrior malignancyNSCLC survivalPatient survivalCancer patientsLung cancerCancer DatabasePatient's potentialPrior historyPatients