A Two-Step Frailty Assessment Strategy in Older Patients With Solid Tumors: A Decision Curve Analysis

Author:

González Serrano Adolfo1ORCID,Laurent Marie12,Barnay Thomas3ORCID,Martínez-Tapia Claudia1,Audureau Etienne14,Boudou-Rouquette Pascaline5,Aparicio Thomas6,Rollot-Trad Florence7ORCID,Soubeyran Pierre8ORCID,Bellera Carine910ORCID,Caillet Philippe11112,Paillaud Elena11112ORCID,Canouï-Poitrine Florence14ORCID

Affiliation:

1. Inserm, IMRB, Université Paris-Est-Créteil, Créteil, France

2. Department of Internal Medicine and Geriatrics, Henri Mondor Hospital, AP-HP, Creteil, France

3. ERUDITE Research Unit, Université Paris-Est-Créteil, Créteil, France

4. Department of Public Health, Henri Mondor Hospital, AP-HP, Creteil, France

5. Department of Medical Oncology, Cochin Hospital, AP-HP, Paris, France

6. Department of Gastroenterology, Saint Louis Hospital, AP-HP, Paris, France

7. Department of Supportive Care and Geriatric Oncology, Institut Curie, Paris, France

8. Department of Medical Oncology, Bergonie Institute Comprehensive Cancer Center, Bordeaux, France

9. Inserm, Bordeaux Population Health Research Center, Epicene Team, UMR 1219, Université de Bordeaux, Bordeaux, France

10. Inserm CIC1401, Clinical and Epidemiological Research Unit, Bergonié Institute Comprehensive Cancer Center, Bordeaux, France

11. Department of Geriatrics, Georges Pompidou European Hospital, AP-HP, Paris, France

12. Paris Cancer Research for Personalized Medicine Institute, Paris, France

Abstract

PURPOSE The intended clinical value of frailty screening is to identify unfit patients needing geriatric assessment (GA) and to prevent unnecessary GA in fit patients. These hypotheses rely on the sensitivity and specificity of screening tests, but they have not been verified. METHODS We performed a cross-sectional analysis of outpatients age ≥ 70 years with prostate, breast, colorectal, or lung cancer included in the ELCAPA cohort study (ClinicalTrials.gov identifier: NCT02884375 ) between February 2007 and December 2019. The diagnostic accuracy of the G8 Geriatric Screening Tool (G8) and modified G8 scores for identifying unfit patients was determined on the basis of GA results. We used decision curve analysis to calculate the benefit of frailty screening for detecting unfit patients and avoiding unnecessary GA in fit patients across different threshold probabilities. RESULTS We included 1,648 patients (median age, 81 years), and 1,428 (87%) were unfit. The sensitivity and specificity were, respectively, 85% (95% CI, 84 to 87) and 59% (95% CI, 57 to 61) for G8, and 86% (95% CI, 84 to 87) and 60% (95% CI, 58 to 63) for the modified G8 score. For decision curve analysis, the net benefit (NB) for identifying unfit patients were 0.72 for G8, 0.72 for the modified G8, and 0.82 for GA at a threshold probability of 0.25. At a threshold probability of 0.33, the NBs were 0.71, 0.72, and 0.80, respectively. At a threshold probability of 0.5, the NBs were 0.68, 0.69, and 0.73, respectively. No screening tool reduced unnecessary GA in fit patients at predefined threshold probabilities. CONCLUSION Although frailty screening tests showed good diagnostic accuracy, screening showed no clinical benefits over the GA-for-all strategy. NB approaches, in addition to diagnostic accuracy, are necessary to assess the clinical value of tests.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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