2021
Methylation-based Cell-free DNA Signature for Early Detection of Pancreatic Cancer
Ying L, Sharma A, Chhoda A, Ruzgar N, Hasan N, Kwak R, Wolfgang CL, Wang TH, Kunstman JW, Salem RR, Wood LD, Iacobuzio-Donahue C, Schneider EB, Farrell JJ, Ahuja N. Methylation-based Cell-free DNA Signature for Early Detection of Pancreatic Cancer. Pancreas 2021, 50: 1267-1273. PMID: 34860810, DOI: 10.1097/mpa.0000000000001919.Peer-Reviewed Original Research
2016
Validation of international trauma scoring systems in urban trauma centres in India
Roy N, Gerdin M, Schneider E, Veetil D, Khajanchi M, Kumar V, Saha M, Dharap S, Gupta A, Tomson G, von Schreeb J. Validation of international trauma scoring systems in urban trauma centres in India. Injury 2016, 47: 2459-2464. PMID: 27667119, DOI: 10.1016/j.injury.2016.09.027.Peer-Reviewed Original ResearchConceptsInjury Severity ScoreTrauma Injury Severity ScoreKampala Trauma ScoreTrauma patientsCasualty departmentPhysiological scoreTrauma centerSeverity scoreProspective multi-centre observational cohort studyMulti-center observational cohort studyInjury Severity Scale scoreAdult trauma patientsObservational cohort studySeverity Scale scoreUrban trauma centerHistory of injuryIncome country settingsMiddle-income country settingsHospital mortalityLate mortalityUrban Indian settingAdult patientsCohort studyInpatient mortalityPhysiologic scoreFrailty predicts risk of life-threatening complications and mortality after pancreatic resections
Augustin T, Burstein M, Schneider E, Morris-Stiff G, Wey J, Chalikonda S, Walsh R. Frailty predicts risk of life-threatening complications and mortality after pancreatic resections. Surgery 2016, 160: 987-996. PMID: 27545992, DOI: 10.1016/j.surg.2016.07.010.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedCause of DeathComorbidityDatabases, FactualFemaleFrail ElderlyHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPancreatectomyPancreatic NeoplasmsPancreaticoduodenectomyPostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk AssessmentROC CurveSeverity of Illness IndexSex FactorsSurvival AnalysisTreatment OutcomeConceptsNational Surgical Quality Improvement ProjectSurgical Quality Improvement ProjectGrade 4 complicationsFrailty indexQuality improvement projectGreater body mass indexDistal pancreatectomy patientsModified Frailty IndexOutcomes of pancreatoduodenectomyLow serum albuminLife-threatening complicationsPre-operative optimizationEffect of frailtySelection of patientsBody mass indexDegree of frailtyGreater weight lossImprovement projectIntermediate frailtyNonfrail patientsConsideration of frailtyDistal pancreatectomyFrail patientsOperative riskPancreatectomy patients
2014
Development of a duplex-derived velocity risk prediction model of disease progression in patients with moderate asymptomatic carotid artery stenosis
Hicks CW, Canner JK, Arhuidese I, Glebova NO, Schneider E, Qazi U, Perler B, Malas MB. Development of a duplex-derived velocity risk prediction model of disease progression in patients with moderate asymptomatic carotid artery stenosis. Journal Of Vascular Surgery 2014, 60: 1585-1592. PMID: 25238724, DOI: 10.1016/j.jvs.2014.08.056.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArea Under CurveAsymptomatic DiseasesBlood Flow VelocityCarotid Artery, CommonCarotid Artery, InternalCarotid StenosisChi-Square DistributionDecision Support TechniquesDisease ProgressionFemaleHumansMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsProportional Hazards ModelsRegional Blood FlowRetrospective StudiesRisk AssessmentRisk FactorsROC CurveTime FactorsUltrasonography, Doppler, DuplexConceptsAsymptomatic carotid artery stenosisICA/CCA ratioCarotid artery stenosisInternal carotid arteryDisease progressionEnd-diastolic velocityPeak systolic velocityRisk prediction modelCCA ratioArtery stenosisSystolic velocityRisk factorsInitial peak systolic velocityProportional hazards regression modelsHigh-risk patientsRisk of progressionRisk-stratify patientsHazards regression modelsSignificant independent predictorsICA/CCACharacteristic curve analysisClinical prediction modelCarotid artery ratioIndependent predictorsDuplex imagingDeveloping best practices to study trauma outcomes in large databases
Haider A, Hashmi Z, Zafar S, Castillo R, Haut E, Schneider E, Cornwell E, Mackenzie E, Efron D. Developing best practices to study trauma outcomes in large databases. Journal Of Trauma And Acute Care Surgery 2014, 76: 1061-1069. PMID: 24662872, DOI: 10.1097/ta.0000000000000182.Peer-Reviewed Original ResearchConceptsNational Trauma Data BankRisk-adjustment modelsTrauma mortalityTrauma outcomesSubsequent multivariate logistic regression analysisMultivariate logistic regression analysisManual backward selectionTrauma Data BankUnivariate logistic regressionLogistic regression analysisInitial multivariate modelPatient subsetsMultivariable analysisTrauma centerMortality outcomesSimilar AUROCsSubset analysisUnivariate analysisPrognostic studiesAnalytic standardizationLevel IIILogistic regression