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Importance of Low- and Moderate-Grade Adverse Events in Patients' Treatment Experience and Treatment Discontinuation: An Analysis of the E1912 Trial.
O'Connell, Nathaniel S; Zhao, Fengmin; Lee, Ju-Whei; Ip, Edward H; Peipert, John Devin; Graham, Noah; Smith, Mary Lou; Gareen, Ilana F; Carlos, Ruth C; Obeng-Gyasi, Samilia; Sparano, Joseph A; Shanafelt, Tait D; Thomas, Mary L; Cella, David; Wagner, Lynne I; Gray, Robert.
Afiliación
  • O'Connell NS; Wake Forest University School of Medicine, Winston-Salem, NC.
  • Zhao F; Dana Farber Cancer Institute, ECOG-ACRIN Biostatistics Center, Boston, MA.
  • Lee JW; Dana Farber Cancer Institute, ECOG-ACRIN Biostatistics Center, Boston, MA.
  • Ip EH; Wake Forest University School of Medicine, Winston-Salem, NC.
  • Peipert JD; Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Graham N; Dana Farber Cancer Institute, ECOG-ACRIN Biostatistics Center, Boston, MA.
  • Smith ML; Research Advocacy Network, Chicago, IL.
  • Gareen IF; Department of Epidemiology and the Center for Statistical Sciences, Brown University School of Public Health, Providence, RI.
  • Carlos RC; University of Michigan Comprehensive Cancer Center, Ann Arbor, MI.
  • Obeng-Gyasi S; The Ohio State University, Columbus, OH.
  • Sparano JA; Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY.
  • Shanafelt TD; Stanford Center Institute Palo Alto, Stanford, CA.
  • Thomas ML; VA Palo Alto Health Care System, Palo Alto, CA.
  • Cella D; Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Wagner LI; Wake Forest University School of Medicine, Winston-Salem, NC.
  • Gray R; Dana Farber Cancer Institute, ECOG-ACRIN Biostatistics Center, Boston, MA.
J Clin Oncol ; 42(3): 266-272, 2024 Jan 20.
Article en En | MEDLINE | ID: mdl-37801678
PURPOSE: Despite defined grades of 1 to 5 for adverse events (AEs) on the basis of Common Terminology Criteria for Adverse Events criteria, mild (G1) and moderate (G2) AEs are often not reported in phase III trials. This under-reporting may inhibit our ability to understand patient toxicity burden. We analyze the relationship between the grades of AEs experienced with patient side-effect bother and treatment discontinuation. METHODS: We analyzed a phase III Eastern Cooperative Oncology Group-American College of Radiology Imaging Network trial with comprehensive AE data. The Likert response Functional Assessment of Cancer Therapy-GP5 item, "I am bothered by side effects of treatment" was used to define side-effect bother. Bayesian mixed models were used to assess the impact of G1 and G2 AE counts on patient side-effect bother and treatment discontinuation. AEs were further analyzed on the basis of symptomatology (symptomatic or asymptomatic). The results are given as odds ratios (ORs) and 95% credible interval (CrI). RESULTS: Each additional G1 and G2 AEs experienced during a treatment cycle increased the odds of increased self-reported patient side-effect bother by 13% (95% CrI, 1.06 to 1.21) and 35% (95% CrI, 1.19 to 1.54), respectively. Furthermore, only AEs defined as symptomatic were associated with increased side-effect bother, with asymptomatic AEs showing no association regardless of grade. Count of G2 AEs increased the odds of treatment discontinuation by 59% (95% CrI, 1.32 to 1.95), with symptomatic G2 AEs showing a stronger association (OR, 1.75; 95% CrI, 1.28 to 2.39) relative to asymptomatic G2 AEs (OR, 1.45; 95% CrI, 1.12 to 1.89). CONCLUSION: Low- and moderate-grade AEs are related to increased odds of increased patient side-effect bother and treatment discontinuation, with symptomatic AEs demonstrating greater magnitude of association than asymptomatic. Our findings suggest that limiting AE capture to grade 3+ misses important contributors to treatment side-effect bother and discontinuation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Clin Oncol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Clin Oncol Año: 2024 Tipo del documento: Article
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