2021
Rates of invasive disease and outcomes in NSCLC patients with biopsy suggestive of carcinoma in situ
Talcott WJ, Miccio JA, Park HS, White AA, Kozono DE, Singer L, Sands JM, Sholl LM, Detterbeck FC, Mak RH, Decker RH, Kann BH. Rates of invasive disease and outcomes in NSCLC patients with biopsy suggestive of carcinoma in situ. Lung Cancer 2021, 157: 17-20. PMID: 34052704, DOI: 10.1016/j.lungcan.2021.05.028.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerBiopsy suggestiveInvasive diseaseSitu diseaseSquamous histologySurvival outcomesTumor sizeObserved cohortNational Cancer DatabaseExcellent survival outcomesHalf of patientsCell lung cancerMultivariable logistic regressionResection of lesionsAdenocarcinoma histologyDefinitive therapyNSCLC patientsOverall survivalLocal therapyRisk stratificationLung cancerCancer DatabaseResectionSurgical pathologyLesion size
2016
A model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study
DeLuzio MR, Keshava HB, Wang Z, Boffa DJ, Detterbeck FC, Kim AW. A model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study. Interdisciplinary CardioVascular And Thoracic Surgery 2016, 23: 208-215. PMID: 27073262, DOI: 10.1093/icvts/ivw090.Peer-Reviewed Original ResearchConceptsAnatomical lung resectionProlonged lengthLung resectionRisk factorsRisk stratificationNational Surgical Quality Improvement Program database studyAnatomical pulmonary resectionBetter risk stratificationOverall patient outcomesHigh-risk populationLength of stayExternal validation groupLogistic regression analysisPostoperative complicationsPostoperative variablesPulmonary resectionNSQIP databaseComparison of receiverPatient outcomesDatabase studyResectionPatientsStayValidation groupScoring system