Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE
Eurydice Angeli, Kader Chouahnia, Florence Canouï‐Poitrine, Boris Duchemann, Thomas Aparicio, Éléna Paillaud, Laurent Zelek, Guilhem Bousquet, Frédéric Pamoukdjian
Abstract
BACKGROUND: To develop, validate, and assess the clinical impact of a clinical score to predict a 6-month mortality risk among older cancer patients. RESULTS: The mean age was 81.2 ± 6.1 years (women: 54%, various cancers, metastatic cancer: 45%). The score, namely the GRADE, included two geriatric variables (unintentional weight loss, impaired mobility), two oncological variables (cancer site, cancer extension), and exclusively supportive care. Up to a 14% risk of early death, the decision curves suggest that cancer treatment should be instated. CONCLUSION: We have developed and validated a simple score, easy to implement in daily oncological practice, to predict early death among older cancer patients which could guide oncologists in their treatment decisions. METHODS: ≤ 0.20) were carried on as covariates in the multivariate cox proportion hazard analysis. The beta coefficients from the model were used to build a point-based scoring system. Clinical impact was assessed using decision curves.