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Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE
- Source :
- Aging (Albany NY), Aging, Aging, 2020, 12 (5), pp.4230-4246. ⟨10.18632/aging.102876⟩, Aging, Impact Journals, 2020, 12 (5), pp.4230-4246. ⟨10.18632/aging.102876⟩
- Publication Year :
- 2020
- Publisher :
- Impact Journals, 2020.
-
Abstract
- International audience; 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.
- Subjects :
- Male
Aging
medicine.medical_specialty
Multivariate statistics
Scoring system
[SDV.BIO]Life Sciences [q-bio]/Biotechnology
[SDV.CAN]Life Sciences [q-bio]/Cancer
Risk Assessment
03 medical and health sciences
0302 clinical medicine
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
[SDV.CAN] Life Sciences [q-bio]/Cancer
Weight loss
Internal medicine
Neoplasms
Medicine
cancer
Humans
Lung cancer
Geriatric Assessment
older adults
030304 developmental biology
Aged
Aged, 80 and over
0303 health sciences
Univariate analysis
decision support techniques
business.industry
Age Factors
Cancer
Cell Biology
Models, Theoretical
medicine.disease
Prognosis
3. Good health
[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
[SDV.BIO] Life Sciences [q-bio]/Biotechnology
[SDV.TOX] Life Sciences [q-bio]/Toxicology
Survival Rate
030220 oncology & carcinogenesis
[SDV.TOX]Life Sciences [q-bio]/Toxicology
Multivariate prediction
Female
medicine.symptom
business
gait speed
Cohort study
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 19454589
- Volume :
- 12
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Aging (Albany NY)
- Accession number :
- edsair.doi.dedup.....16f650e170abb1b81fcc5592a724479c