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The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments.

Publication ,  Journal Article
Arizmendi, C; Zhu, Y; Khan, M; Gable, J; Reeve, BB; King-Kallimanis, B; Bell, J
Published in: Qual Life Res
October 2024

PURPOSE: The Functional Assessment of Cancer Therapy item (FACT-GP5) has the potential to provide an understanding of global treatment tolerability from the patient perspective. Longitudinal evaluations of the FACT-GP5 and challenges posed by data missing-not-at-random (MNAR) have not been explored. Robustness of the FACT-GP5 to missing data assumptions and the responsiveness of the FACT-GP5 to key side-effects are evaluated. METHODS: In a randomized, double-blind study (NCT00065325), postmenopausal women (n = 618) with hormone receptor-positive (HR+), advanced breast cancer received either fulvestrant or exemestane and completed FACT measures monthly for seven months. Cumulative link mixed models (CLMM) were fit to evaluate: (1) the trajectory of the FACT-GP5 and (2) the responsiveness of the FACT-GP5 to CTCAE grade, Eastern Cooperative Oncology Group (ECOG) Performance Status scale, and key side-effects from the FACT. Sensitivity analyses of the missing-at-random (MAR) assumption were conducted. RESULTS: Odds of reporting worse side-effect bother increased over time. There were positive within-person relationships between level of side-effect bother (FACT-GP5) and severity of other FACT items, as well as ECOG performance status and Common Terminology Criteria for Adverse Events (CTCAE) grade. The number of missing FACT-GP5 assessments impacted the trajectory of the FACT-GP5 but did not impact the relationships between the FACT-GP5 and other items (except for nausea [FACT-GP2]). CONCLUSIONS: Results support the responsiveness of the FACT-GP5. Generally speaking, the responsiveness of the FACT-GP5 is robust to missing assessments. Missingness should be considered, however, when evaluating change over time of the FACT-GP5. TRIAL REGISTRATION: NCT00065325. TRIAL REGISTRATION YEAR: 2003.

Duke Scholars

Published In

Qual Life Res

DOI

EISSN

1573-2649

Publication Date

October 2024

Volume

33

Issue

10

Start / End Page

2869 / 2880

Location

Netherlands

Related Subject Headings

  • Surveys and Questionnaires
  • Quality of Life
  • Postmenopause
  • Middle Aged
  • Humans
  • Health Policy & Services
  • Fulvestrant
  • Female
  • Double-Blind Method
  • Breast Neoplasms
 

Citation

APA
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ICMJE
MLA
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Arizmendi, C., Zhu, Y., Khan, M., Gable, J., Reeve, B. B., King-Kallimanis, B., & Bell, J. (2024). The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments. Qual Life Res, 33(10), 2869–2880. https://doi.org/10.1007/s11136-024-03740-x
Arizmendi, Cara, Yanyan Zhu, Maryam Khan, Jonathon Gable, Bryce B. Reeve, Bellinda King-Kallimanis, and Jill Bell. “The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments.Qual Life Res 33, no. 10 (October 2024): 2869–80. https://doi.org/10.1007/s11136-024-03740-x.
Arizmendi C, Zhu Y, Khan M, Gable J, Reeve BB, King-Kallimanis B, et al. The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments. Qual Life Res. 2024 Oct;33(10):2869–80.
Arizmendi, Cara, et al. “The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments.Qual Life Res, vol. 33, no. 10, Oct. 2024, pp. 2869–80. Pubmed, doi:10.1007/s11136-024-03740-x.
Arizmendi C, Zhu Y, Khan M, Gable J, Reeve BB, King-Kallimanis B, Bell J. The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments. Qual Life Res. 2024 Oct;33(10):2869–2880.
Journal cover image

Published In

Qual Life Res

DOI

EISSN

1573-2649

Publication Date

October 2024

Volume

33

Issue

10

Start / End Page

2869 / 2880

Location

Netherlands

Related Subject Headings

  • Surveys and Questionnaires
  • Quality of Life
  • Postmenopause
  • Middle Aged
  • Humans
  • Health Policy & Services
  • Fulvestrant
  • Female
  • Double-Blind Method
  • Breast Neoplasms