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How this model should be used:
Liang et al (2015) established and validated a novel nomogram for predicting survival of patients with resected NSCLC.1 Through this model, clinicians could more precisely estimate the 1-, 3-, and 5-year overall survival of individual patients after surgery and identify subgroups of patients who are in need of a specific treatment strategy.
Model performance:
The calibration plots presented an excellent agreement in the primary cohort (N=5,261) and an acceptable agreement in the IASLC validation cohort (N=2,148) between the nomogram prediction and actual observation for 1-year overall survival (OS). The discriminative power (c-index) for the nomogram to predict OS (0.71; 95% CI, 0.70 to 0.72) was significantly higher than that of the TNM staging system (0.68; 95% CI, 0.67 to 0.69; P < 0.01). In the validation cohort, the reported c-index was 0.67 (95% CI, 0.65 to 0.69).
Source:
1 Liang W, Zhang L, Jiang G et al. Development and validation of a nomogram for predicting survival in patients with resectednon-small-cell lung cancer. J Clin Oncol. 2015;33(8):861-9.
This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.
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