Systematic Review and Meta-Analysis of Randomized and Nonrandomized Trials on Safety and Efficacy of Video-Assisted Thoracic Surgery Lobectomy for Early-Stage Non–Small-Cell Lung Cancer

Tristan D. Yan(Baird Institute), Deborah Black(The University of Sydney), Paul G. Bannon(The University of Sydney), Brian C. McCaughan(The University of Sydney)
Journal of Clinical Oncology
March 17, 2009
Cited by 734

Abstract

PURPOSE: The current randomized trials comparing video-assisted thoracic surgery (VATS) lobectomy with open lobectomy for patients with early-stage non-small-cell lung cancer (NSCLC) have been of small size. We performed the present meta-analysis of the randomized and nonrandomized comparative studies in an attempt to assess the safety and efficacy of VATS lobectomy. METHODS: Electronic searches identified 21 eligible comparative studies (two randomized and 19 nonrandomized) for inclusion. Two reviewers independently appraised each study. Meta-analysis was performed by combining the results of reported incidence of morbidity and mortality, recurrence, and 5-year mortality rates. The relative risk (RR) was used as a summary statistic. RESULTS: There were no significant statistical differences between VATS and open lobectomy in terms of postoperative prolonged air leak (P = .71), arrhythmia (P = .86), pneumonia (P = .09), and mortality (P = .49). VATS did not demonstrate any significant difference in locoregional recurrence (P = .24), as compared with the open lobectomy arm, but the data suggested a reduced systemic recurrence rate (P = .03) and an improved 5-year mortality rate of VATS (P = .04). There was no evidence to suggest heterogeneity of trial results. Fourteen studies reported VATS to open lobectomy conversion rate ranging from 0% to 15.7% (median = 8.1%). CONCLUSION: Both randomized and nonrandomized trials suggest that VATS lobectomy is an appropriate procedure for selected patients with early-stage NSCLC when compared with open surgery.


Related Papers

No related papers found

Powered by citation graph analysis