RESUMO
@#Objective To identify the risk factors for postoperative recurrence of peripheral solid small-nodule lung cancer (PSSNLC) (T≤2 cm), and to explore the effects of surgery types on prognosis. Methods We extracted data from Western China Lung Cancer Database (WCLCD), a prospectively maintained database at the Department of Thoracic Surgery, West China Hospital, Sichuan University, and Surveillance, Epidemiology, and End Results (SEER) database for peripheral solid small-nodule lung cancer patients (T≤2 cm N0M0, stageⅠ) who underwent surgery between 2005 and 2016. We used univariable and multivariable logistic regression to analyze risk factors for recurrence of PSSNLC. We applied propensity-score matching to compare the long-term results of segmentectomy and lobectomy, as well as the survival of patients from WCLCD and SEER. We finally included 4 800 patients with PSSNLC (T≤2 cm N0M0)(WCLCD: SEER=354∶4 446). We matched 103 segmentectomies and 350 lobectomies in T≤1 cm, and 280 segmentectomies and 1 067 lobectomies in 1 cm<T≤2 cm at a ratio of 1∶4 according to the propensity scores. Results The results of multivariable logistic regression showed that older age (HR=1.04, 95%CI 1.03-1.05, P<0.001), male (HR=1.60, 95%CI 1.37-1.88, P<0.001), squamous carcinoma (HR=1.65, 95%CI 1.40-1.95, P<0.001), lymph node removed (HR=0.97, 95%CI 0.96-0.99, P<0.001) were risk factors for recurrence after surgery. We found that segmentectomy and lobectomy could reach similar survival in PSSNLC patient with either T≤1 cm or 1 cm<T≤2 cm. Analyses of 1 441 patients with PSSNLC after matching (WCLCD∶SEER=325∶1 116) indicated that the 5-year overall survival rate of the patients in WCLCD was better than that in SEER database ( 89.8% vs. 77.1%, P<0.001). Conclusion Older age, male, squamous carcinoma, and lymph node removed are the risk factors for recurrence of PSSNLC. Segmentectomy shows similar survival in PSSNLC patient with either T≤1 cm or 1 cm<T≤2 cm N0M0. The patients in the WCLCD shows better survival compared with of the patients in the SEER database.