Impact of number of lymph nodes (LN) examined at the time of surgical resection (Sx) on the survival of stage IA non-small cell lung cancer (NSCLC) patients (pts)

2008 ◽  
Vol 26 (15_suppl) ◽  
pp. 7534-7534 ◽  
Author(s):  
A. M. Ingle ◽  
P. Kumar ◽  
M. M. Griggs ◽  
C. A. Erangey ◽  
S. P. Thomas
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Sunyin Rao ◽  
Lianhua Ye ◽  
Li Min ◽  
Guangqiang Zhao ◽  
Ya Chen ◽  
...  

Abstract Objective Whether segmentectomy can be used to treat radiologically determined pure solid or solid-dominant lung cancer remains controversial owing to the invasive pathologic characteristics of these tumors despite their small size. This meta-analysis compared the oncologic outcomes after lobectomy and segmentectomy regarding relapse-free survival (RFS) and overall survival (OS) in patients with radiologically determined pure solid or solid-dominant clinical stage IA non-small cell lung cancer (NSCLC). Methods A literature search was performed in the MEDLINE, EMBASE, and Cochrane Central databases for information from the date of database inception to March 2019. Studies were selected according to predefined eligibility criteria. The hazard ratio (HR) and associated 95% confidence interval (CI) were extracted or calculated as the outcome measure for data combining. Results Seven eligible studies published between 2014 and 2018 enrolling 1428 patients were included in the current meta-analysis. Compared with lobectomy, segmentectomy had a significant benefit on the RFS of radiologically determined pure solid or solid-dominant clinical stage IA NSCLC patients (combined HR: 1.46; 95% CI, 1.05–2.03; P = 0.024) and there were no significant differences on the OS of these patients (HR: 1.52; 95% CI, 0.95–2.43; P = 0.08). Conclusions Segmentectomy leads to lower survival than lobectomy for clinical stage IA NSCLC patients with radiologically determined pure solid or solid-dominant tumors. Moreover, applying lobectomy to clinical stage IA NSCLC patients with radiologically determined pure solid or solid-dominant tumors (≤2 cm) could lead to an even bigger survival advantage. However, there are some limitations in the present study, and more evidence is needed to support the conclusion.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 8547-8547
Author(s):  
Ahmedin Jemal ◽  
Chun Chieh Lin ◽  
Matthew Smeltzer ◽  
Raymond U. Osarogiagbon

2019 ◽  
Vol 15 (24) ◽  
pp. 2829-2840 ◽  
Author(s):  
Yun Li ◽  
Fenglong Bie ◽  
Yadong Wang ◽  
Wenting Wang ◽  
Jiajun Du

Aim: Predicting the prognostic outcome of a single case among postoperative non-small-cell lung cancer (NSCLC) patients is difficult. We created a precise prognostic model to assess the condition and prognosis of postoperative NSCLC patients. Methods: We combined eight prognostic indicators (age, prothrombin time, international normalized ratio, globulin, albumin-to-globulin ratio, tumor diameter, number of positive lymph nodes and number of dissected lymph nodes) to construct a new risk index (RI) model. Results: The best cut-off value was -1.86 (area under the curve: 0.719). The overall survival of postoperative NSCLC patients decreased as the RI increased (p < 0.001). Conclusion: This RI model can assist clinicians in screening high-risk groups and developing treatment and follow-up plans for postoperative NSCLC patients.


2021 ◽  
Author(s):  
Quan-Xing Liu ◽  
Zi-Qi Huang ◽  
Dong Zhou ◽  
Hong Zheng ◽  
Ji-Gang Dai

Abstract Background: The AJCC 8th stage system was limited in accuracy for predicting prognosis of stage IA non-small cell lung cancer (NSCLC) patients. This study aimed to establish and validate two nomograms that predict overall survival (OS) and lung cancer specific survival (LCSS) in surgically resected stage IA NSCLC patients. Methods: Postoperative patients with stage IA NSCLC in SEER database between 2004 and 2015 were examined. Survival and clinical information according to the inclusion and exclusion criteria was collected. All patients were randomly divided into the training cohort and validation cohort with a ratio of 7:3. Independent prognosis factors were evaluated using univariate and multivariate Cox regression analyses, and predictive nomogram was established based on these factors. Nomogram performance was measured using the C-index, calibration plots, and decision curve analysis (DCA). Patients were grouped by quartiles of nomogram scores and survival curves were plotted by Kaplan-Meier analysis.Results: In total, 33533 patients were included in the study. The nomogram of OS and LCSS contained 12 and 10 prognostic factors respectively. The C-index of nomogram showed a relative good performance which was significantly superior than AJCC 8th stage both in training set and validating set (P<0.001). The calibration curve results showed that the actual survival rate was consistent with the predicted survival rate. Nomogram scores related risk stratification revealed statistically significant difference which have better discrimination than AJCC 8th stage.Conclusions: The two established nomograms can accurately predict OS and LCSS in surgical resected patients with stage IA NSCLC.


Sign in / Sign up

Export Citation Format

Share Document