Literature DB >> 31512954

Survival nomogram for patients with initially diagnosed metastatic non-small-cell lung cancer: a SEER-based study.

Yu Wang1, Zhaofei Pang1, Xiaowei Chen1, Fenglong Bie1, Yadong Wang1, Guanghui Wang2, Qi Liu1, Jiajun Du1,2.   

Abstract

Aim: Prognosis of patients with metastatic non-small-cell lung cancer differ widely.
Methods: All patients were randomly divided into training or validation cohort. Cox-regression analyses were conducted to select independent predictors. We built a nomogram by R code and evaluated the accuracy and the reliability of the model using C-index, calibration curves and decision curve analyses. We made a risk classification system based on the nomogram.
Results: In the validation cohort, C-index was 0.729 and 0.738 for 1- and 2-year overall survival. Calibration plots and decision curve analyses presented great prognostic accuracy and clinical applicability. Its prognostic accuracy preceded the American Joint Committee on Cancer staging with evaluated integrated discrimination improvement.
Conclusion: The model can be a practical tool in treatment decision and individual counseling.

Entities:  

Keywords:  SEER database; metastatic NSCLC; nomogram; overall survival; prognosis

Mesh:

Year:  2019        PMID: 31512954     DOI: 10.2217/fon-2019-0007

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  11 in total

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8.  A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study.

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Authors:  Haisheng You; Mengmeng Teng; Chun Xia Gao; Bo Yang; Sasa Hu; Taotao Wang; Yalin Dong; Siying Chen
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