2020
Characterization of High Mortality Probability Operations at National Surgical Quality Improvement Program Hospitals
Resio BJ, Chiu AS, Zhang Y, Pei KY. Characterization of High Mortality Probability Operations at National Surgical Quality Improvement Program Hospitals. JAMA Surgery 2020, 155: 85-88. PMID: 31664436, PMCID: PMC6822090, DOI: 10.1001/jamasurg.2019.3750.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overClostridium InfectionsCohort StudiesColitisDatabases, FactualDisabled PersonsFemaleHospitalsHumansIntestinal PerforationMaleMesenteric IschemiaMiddle AgedNeoplasmsQuality Assurance, Health CareQuality ImprovementRespiration, ArtificialRisk AssessmentSepsisShock, SepticSurgical Procedures, OperativeUnited States
2019
Big data, big contributions: outcomes research in thoracic surgery
Resio BJ, Dhanasopon AP, Blasberg JD. Big data, big contributions: outcomes research in thoracic surgery. Journal Of Thoracic Disease 2019, 11: s566-s573. PMID: 31032075, PMCID: PMC6465425, DOI: 10.21037/jtd.2019.01.04.Peer-Reviewed Original Research
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