2020
Navigating by Stars: Using CMS Star Ratings to Choose Hospitals for Complex Cancer Surgery
Papageorge MV, Resio BJ, Monsalve AF, Canavan M, Pathak R, Mase VJ, Dhanasopon AP, Hoag JR, Blasberg JD, Boffa DJ. Navigating by Stars: Using CMS Star Ratings to Choose Hospitals for Complex Cancer Surgery. JNCI Cancer Spectrum 2020, 4: pkaa059-. PMID: 33134834, PMCID: PMC7583163, DOI: 10.1093/jncics/pkaa059.Peer-Reviewed Original ResearchComplex cancer surgeryCMS star ratingsCancer surgerySafe hospitalReassignment of patientsMedicare Provider AnalysisYears of ageHospital mortalitySurgical outcomesSurgical careMedicare beneficiariesMortality ratePatientsSurgeryHospitalHospital qualityReview filesMedicaid ServicesMortalityOnly modest impactOutcomesStar ratingsModest impactYears
2018
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose
Ye Q, Wu J, Lu Y, Naganawa M, Gallezot JD, Ma T, Liu Y, Tanoue L, Detterbeck F, Blasberg J, Chen MK, Casey M, Carson RE, Liu C. Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose. Physics In Medicine And Biology 2018, 63: 175015. PMID: 30095083, PMCID: PMC6158045, DOI: 10.1088/1361-6560/aad97f.Peer-Reviewed Original ResearchConceptsPopulation-based input functionStandardized uptake valueImage-derived input functionLung nodulesClinical trialsTime-activity curvesLow-dose computed tomography (LDCT) screeningLung cancer mortality ratesIndeterminate lung nodulesComputed Tomography ScreeningF-FDG PETCancer mortality ratesStatic PET acquisitionVirtual clinical trialsScan durationTomography screeningFDG injectionPET scansMortality rateUptake valueAccurate diagnosisMalignant lung nodulesROC analysisPatient dataMalignant nodulesSpontaneous regionalization of esophageal cancer surgery: an analysis of the National Cancer Database
Arnold BN, Chiu AS, Hoag JR, Kim CH, Salazar MC, Blasberg JD, Boffa DJ. Spontaneous regionalization of esophageal cancer surgery: an analysis of the National Cancer Database. Journal Of Thoracic Disease 2018, 10: 1721-1731. PMID: 29707326, PMCID: PMC5906219, DOI: 10.21037/jtd.2018.02.12.Peer-Reviewed Original ResearchLow-volume hospitalsNational Cancer DatabaseProportion of patientsHigh-volume hospitalsEsophageal cancer surgeryEsophagectomy patientsHigh-risk attributesCancer surgeryEra 2Cancer DatabaseHigh-risk patientsPrimary outcomeEsophageal cancerEra 1Retrospective analysisMortality ratePatientsEsophagectomyHospitalSurgeryFurther studiesCancerCliniciansMortalityProportion
2017
The Society of Thoracic Surgeons Composite Score for Evaluating Esophagectomy for Esophageal Cancer
Force T, Chang A, Kosinski A, Raymond D, Magee M, DeCamp M, Farjah F, Grogan E, Seder C, Allen M, Blasberg J, Blackmon S, Burfeind W, Cassivi S, Park B, Shahian D, Wormuth D, Han J, Wright C, Fernandez F, Kozower B. The Society of Thoracic Surgeons Composite Score for Evaluating Esophagectomy for Esophageal Cancer. The Annals Of Thoracic Surgery 2017, 103: 1661-1667. PMID: 28385375, DOI: 10.1016/j.athoracsur.2016.10.027.Peer-Reviewed Original ResearchConceptsOperative mortality rateMortality rateMajor complicationsEsophageal cancerComposite scoreSurgical proceduresRisk-adjusted operative mortality ratesSTS participantsShorter postoperative lengthMajor complication rateCardiac surgical proceduresNational Inpatient SampleLow procedure volumeRisk-adjusted outcomesCancer surgical proceduresThoracic Surgeons composite scoreComposite quality measurePostoperative lengthComplication rateInpatient SampleLung cancerStudy populationEsophagectomyThoracic surgeonsProcedure volume