2014
Race-based differences in length of stay among patients undergoing pancreatoduodenectomy
Schneider EB, Calkins KL, Weiss MJ, Herman JM, Wolfgang CL, Makary MA, Ahuja N, Haider AH, Pawlik TM. Race-based differences in length of stay among patients undergoing pancreatoduodenectomy. Surgery 2014, 156: 528-537. PMID: 24973128, DOI: 10.1016/j.surg.2014.04.004.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlack or African AmericanCross-Sectional StudiesFemaleGeneral SurgeryHealthcare DisparitiesHispanic or LatinoHospital MortalityHospitalsHumansLength of StayLogistic ModelsMaleMiddle AgedPancreaticoduodenectomyPostoperative ComplicationsRacial GroupsRetrospective StudiesUnited StatesWhite PeopleConceptsHigh-volume hospitalsHigh-volume surgeonsHispanic patientsRace-based differencesWhite patientsMedian annual surgeon volumeAnnual hospital volumeAnnual surgeon volumeOverall median LOSNationwide Inpatient SampleMultivariable logistic regressionLength of stayHospital mortalityHospital lengthMedian LOSHospital volumeOperative morbidityProvider volumeSurgeon volumeMedian lengthPD patientsInpatient SamplePatient racePancreatoduodenectomyEligible individuals
2009
Variations in Referral Patterns to High-Volume Centers for Pancreatic Cancer
Chang DC, Zhang Y, Mukherjee D, Wolfgang CL, Schulick RD, Cameron JL, Ahuja N. Variations in Referral Patterns to High-Volume Centers for Pancreatic Cancer. Journal Of The American College Of Surgeons 2009, 209: 720-726. PMID: 19959040, PMCID: PMC4036485, DOI: 10.1016/j.jamcollsurg.2009.09.011.Peer-Reviewed Original ResearchConceptsHigh-volume centersHigh-volume hospitalsNationwide Inpatient SamplePancreatic cancer patientsArea Resource FilePancreatic resectionCancer patientsInpatient SamplePancreatic cancerRadiation oncologistsCharlson Comorbidity Index scoreComorbidity Index scoreOdds of referralPrimary outcome variableResource FileCommunity poverty levelCalendar yearPatient ageOverall referralsReferral patternsVolume centersInsurance statusPrimary diagnosisInclusion criteriaRetrospective analysis