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

Autor: Basch E; UNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Becker C; Deciphera Pharmaceuticals, Waltham, MA, USA., Rogak LJ; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Schrag D; Dana-Farber/Partners Cancer Care, Harvard Cancer Center, Boston, MA, USA., Reeve BB; Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA., Spears P; UNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA., Smith ML; Research Advocacy Network, Plano, TX, USA., Gounder MM; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Mahoney MR; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN, USA., Schwartz GK; Columbia University, New York, NY, USA., Bennett AV; UNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA., Mendoza TR; University of Texas M. D. Anderson Cancer Center, Houston, TX, USA., Cleeland CS; University of Texas M. D. Anderson Cancer Center, Houston, TX, USA., Sloan JA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN, USA., Bruner DW; Emory University Hospital/Winship Cancer Institute, Atlanta, GA, USA., Schwab G; Exelixis, Inc., South San Francisco, CA, USA., Atkinson TM; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Thanarajasingam G; Division of Hematology, Mayo Clinic, Rochester, MN, USA., Bertagnolli MM; Alliance Office of the Group Chair, Brigham and Women's Hospital, Boston, MA, USA., Dueck AC; Alliance Statistics and Data Center, Mayo Clinic, Scottsdale, AZ, USA.
Jazyk: angličtina
Zdroj: Clinical trials (London, England) [Clin Trials] 2021 Feb; Vol. 18 (1), pp. 104-114. Date of Electronic Publication: 2020 Dec 01.
DOI: 10.1177/1740774520975120
Abstrakt: 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.
Databáze: MEDLINE