Dataset Information

Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE.

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:603 outpatients prospectively included in the Physical Frailty in Elderly Cancer patients cohort study. We created a multivariate prediction model by evaluating the strength of the individual components of the Geriatric Assessment regarding risk of death at 6 months. Each component was evaluated by univariate analysis and the significant variables (P ? 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.

SUBMITTER: Angeli E

PROVIDER: S-EPMC7093177 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE.

Angeli Eurydice E Chouahnia Kader K Canoui-Poitrine Florence F Duchemann Boris B Aparicio Thomas T Paillaud Elena E Zelek Laurent L Bousquet Guilhem G Pamoukdjian Frédéric F

Aging 20200310 5

<h4>Background</h4>To develop, validate, and assess the clinical impact of a clinical score to predict a 6-month mortality risk among older cancer patients.<h4>Results</h4>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 ...[more]

PMID: 32156833

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Dataset Information

Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE.

Publications

Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE.

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