scholarly journals Effective Knowledge Dissemination Improves Histological Classification of Non Small Cell Lung Cancer: Reducing the Rates of Nsclc – not Otherwise Specified (Nos)

2014 ◽  
Vol 25 ◽  
pp. iv460
Author(s):  
C. Ho ◽  
K.M. Tong ◽  
K. Ramsden ◽  
D. Ionescu ◽  
J. Laskin
PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88300 ◽  
Author(s):  
Bi-Qing Li ◽  
Jin You ◽  
Tao Huang ◽  
Yu-Dong Cai

1995 ◽  
Vol 13 (5) ◽  
pp. 1221-1230 ◽  
Author(s):  
M Paesmans ◽  
J P Sculier ◽  
P Libert ◽  
G Bureau ◽  
G Dabouis ◽  
...  

PURPOSE This study attempted to determine the prognostic value for survival of various pretreatment characteristics in patients with nonresectable non-small-cell lung cancer in the context of more than 10 years of experience of a European Cooperative Group. PATIENTS AND METHODS We included in the analysis all eligible patients (N = 1,052) with advanced non-small-cell lung cancer registered onto one of seven trials conducted by the European Lung Cancer Working Party (ELCWP) during one decade. The patients were treated by chemotherapy regimens based on platinum derivatives. We prospectively collected 23 variables and analyzed them by univariate and multivariate methods. RESULTS The global estimated median survival time was 29 weeks, with a 95% confidence interval of 27 to 30 weeks. After univariate analysis, we applied two multivariate statistical techniques. In a Cox regression model, the selected explanatory variables were disease extent, Karnofsky performance status, WBC and neutrophil counts, metastatic involvement of skin, serum calcium level, age, and sex. These results were confirmed by application of recursive partitioning and amalgamation algorithms (RECPAM), which led to classification of the patients into four homogeneous subgroups. CONCLUSION We confirmed by our analysis the role of well-known independent prognostic factors for survival, but also identified the effect of the neutrophil count, rarely studied, with the use of two methods: a classical Cox regression model and a RECPAM analysis. The classification of patients into the four subgroups we obtained needs to be validated in other series.


2014 ◽  
Vol 9 (10) ◽  
pp. 1540-1546 ◽  
Author(s):  
Luisella Righi ◽  
Tiziana Vavalà ◽  
Ida Rapa ◽  
Simona Vatrano ◽  
Jessica Giorcelli ◽  
...  

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 9597-9597
Author(s):  
M. J. Donovan ◽  
A. Kotsianti ◽  
A. Colomer ◽  
M. Verdu ◽  
M. Clayton ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document