Lack of correlation between short- and long-term performance after lung cancer surgery.

OBJECTIVE: Outcomes for lung cancer surgery are currently measured according to perioperative morbidity and mortality. However, the oncologic efficacy of the surgery is reflected by long-term survival. We examined correlation between measures of short-term and long-term performance for lung cancer surgery. METHODS: The Society of Thoracic Surgeons General Thoracic Surgery Database linked to Medicare survival data was queried for pathologic stage I lung cancer resected between 2009 and 2013. Two separate multivariable models were created: (1) short-term: avoidance of perioperative major morbidity and mortality; and (2) long-term: 3-year survival. Standardized incidence ratios were calculated for the Society of Thoracic Surgeons programs (participants) to determine risk-adjusted participant performance measures for the short- and long-term time points. Correlation of participant standardized incidence ratios for short- and long-term performance was assessed using the Pearson correlation coefficient. RESULTS: The study population included 12,596 patients from 229 participating programs. One hundred fifty-one participants met minimum volume and follow-up requirements for analysis. Overall, performance for the short-term measure was uniform with only 2 (1.3%) participants performing better than expected and 2 (1.3%) worse than expected. For the long-term measure, 9 (6%) participants achieved better than expected and 5 (3.3%) worse than expected survival. No participant was an above or below average performer for the short- and long-term measures. Further, no correlation was observed between participant short- and long-term performance (Pearson correlation coefficient, 0.12; 95% confidence interval, -0.04 to 0.28; P = .14). CONCLUSIONS: Avoidance of perioperative morbidity and mortality is an incomplete measure of performance in lung cancer surgery. Lung cancer surgery performance metrics should assess the safety of surgery and long-term survival.

Duke Scholars

Author Andrzej Stanislaw Kosinski Biostatistics & Bioinformatics, Division of Biostatistics

Author Betty Caroline Tong Surgery, Cardiovascular and Thoracic Surgery

Author Mark William Onaitis Surgery, Cardiovascular and Thoracic Surgery