Composite grading algorithm for the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE)

Author:

Basch Ethan12,Becker Claus3,Rogak Lauren J2,Schrag Deborah4,Reeve Bryce B5,Spears Patricia1,Smith Mary Lou6,Gounder Mrinal M2,Mahoney Michelle R7,Schwartz Gary K8,Bennett Antonia V1ORCID,Mendoza Tito R9,Cleeland Charles S9,Sloan Jeff A7,Bruner Deborah Watkins10,Schwab Gisela11,Atkinson Thomas M2,Thanarajasingam Gita12,Bertagnolli Monica M13ORCID,Dueck Amylou C14ORCID

Affiliation:

1. UNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA

2. Memorial Sloan Kettering Cancer Center, New York, NY, USA

3. Deciphera Pharmaceuticals, Waltham, MA, USA

4. Dana-Farber/Partners Cancer Care, Harvard Cancer Center, Boston, MA, USA

5. Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA

6. Research Advocacy Network, Plano, TX, USA

7. Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN, USA

8. Columbia University, New York, NY, USA

9. University of Texas M. D. Anderson Cancer Center, Houston, TX, USA

10. Emory University Hospital/Winship Cancer Institute, Atlanta, GA, USA

11. Exelixis, Inc., South San Francisco, CA, USA

12. Division of Hematology, Mayo Clinic, Rochester, MN, USA

13. Alliance Office of the Group Chair, Brigham and Women’s Hospital, Boston, MA, USA

14. Alliance Statistics and Data Center, Mayo Clinic, Scottsdale, AZ, USA

Abstract

Background: The Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events is an item library designed for eliciting patient-reported adverse events in oncology. For each adverse event, up to three individual items are scored for frequency, severity, and interference with daily activities. To align the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events with other standardized tools for adverse event assessment including the Common Terminology Criteria for Adverse Events, an algorithm for mapping individual items for any given adverse event to a single composite numerical grade was developed and tested. Methods: A five-step process was used: (1) All 179 possible Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events score combinations were presented to 20 clinical investigators to subjectively map combinations to single numerical grades ranging from 0 to 3. (2) Combinations with <75% agreement were presented to investigator committees at a National Clinical Trials Network cooperative group meeting to gain majority consensus via anonymous voting. (3) The resulting algorithm was refined via graphical and tabular approaches to assure directional consistency. (4) Validity, reliability, and sensitivity were assessed in a national study dataset. (5) Accuracy for delineating adverse events between study arms was measured in two Phase III clinical trials (NCT02066181 and NCT01522443). Results: In Step 1, 12/179 score combinations had <75% initial agreement. In Step 2, majority consensus was reached for all combinations. In Step 3, five grades were adjusted to assure directional consistency. In Steps 4 and 5, composite grades performed well and comparably to individual item scores on validity, reliability, sensitivity, and between-arm delineation. Conclusion: A composite grading algorithm has been developed and yields single numerical grades for adverse events assessed via the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events, and can be useful in analyses and reporting.

Funder

National Cancer Institute

Publisher

SAGE Publications

Subject

Pharmacology,General Medicine

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