A new scoring system for predicting survival in patients with non‐small cell lung cancer

Cancer Medicine

Steven E. Schild¹  Angelina D. Tan⁴  Jason A. Wampfler⁴  Helen J. Ross²  Ping Yang³ 

[1] Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona;Division of Medical Oncology, Mayo Clinic, Scottsdale, Arizona;Epidemiology-Cancer Research, Rochester, Minnesota;Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota

关键词: Age;    metastases;    nodal spread;    non‐small cell lung cancer;    performance status;    prognosis;    quality of life;    scoring system;    smoking;    tumor size;   

DOI  :  10.1002/cam4.479

来源: Wiley

【 摘 要 】

Abstract

This analysis was performed to create a scoring system to estimate the survival of patients with non-small cell lung cancer (NSCLC). Data from 1274 NSCLC patients were analyzed to create and validate a scoring system. Univariate (UV) and multivariate (MV) Cox models were used to evaluate the prognostic importance of each baseline factor. Prognostic factors that were significant on both UV and MV analyses were used to develop the score. These included quality of life, age, performance status, primary tumor diameter, nodal status, distant metastases, and smoking cessation. The score for each factor was determined by dividing the 5-year survival rate (%) by 10 and summing these scores to form a total score. MV models and the score were validated using bootstrapping with 1000 iterations from the original samples. The score for each prognostic factor ranged from 1 to 7 points with higher scores reflective of better survival. Total scores (sum of the scores from each independent prognostic factor) of 32–37 correlated with a 5-year survival of 8.3% (95% CI = 0–17.1%), 38–43 correlated with a 5-year survival of 20% (95% CI = 13–27%), 44–47 correlated with a 5-year survival of 48.3% (95% CI = 41.5–55.2%), 48–49 correlated to a 5-year survival of 72.1% (95% CI = 65.6–78.6%), and 50–52 correlated to a 5-year survival of 84.7% (95% CI = 79.6–89.8%). The bootstrap method confirmed the reliability of the score. Prognostic factors significantly associated with survival on both UV and MV analyses were used to construct a valid scoring system that can be used to predict survival of NSCLC patients. Optimally, this score could be used when counseling patients, and designing future trials.

【 授权许可】

CC BY   
© 2015 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.