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Patient-Reported Outcomes After Treatment Discontinuation: Commercial Clinical Trial Data From Four Cancer Types
Bellinda L King-Kallimanis1, Nirosha Mahendraratnam Lederer1, Janice Kim2
1Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD, USA.
Objectives:
How frequently patient-reported outcome (PRO) data are collected in commercial cancer clinical trials after treatment discontinuation and the quality of that data are poorly understood. We reviewed treatment discontinuation follow-up PRO data collection to learn about trials collecting these data and understand data quality. The review included 4 cancer types representing potential for long- (prostate cancer), medium-/long- (breast cancer), and short-term (pancreatic cancer and hepatocellular carcinoma) follow-up owing to disease trajectory.
Methods:
We reviewed registration trials in US Food and Drug Administration databases between January 2010 and January 2019. Protocols were reviewed to determine whether PROs were collected and, if so, whether these included the follow-up phase. Clinical study reports were reviewed when follow-up PROs were collected to determine completion rates. Results were summarized using descriptive analyses.
Results:
Of the 46 trials containing PRO data, 46% had at least 1 follow-up PRO assessment. Follow-up schedules of assessment were wide ranging; the first assessment occurred between 30 days and 6 months after stopping treatment with follow-up for as long as 3 years. PRO completion rates were reported in 57% of 21 trials; at the first follow-up assessment, completion rates for the treatment arm ranged from 38% to 91% and from 41% to 100% in the control arm.
Conclusions:
The quality of the follow-up PRO data, based on completion rates, was variable, as was the duration of follow-up. A clear research objective should be developed for follow-up PRO data, accounting for patient burden. If PRO data are collected, monitoring should be implemented to improve completion because poor completion limits data use in the benefit-risk assessment.
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