Abstract
Use of Real-World Data (RWD) has gained the interest of different stakeholders in cancer care. The aim of this study was to identify and describe the use of RWD/RWE during the pre-authorization phase of products authorized by the EMA in 2018 and 2019 (n = 111), with the focus on oncology medicines (n = 24). Information was extracted from the European Public Assessment Report (EPAR) summaries and recorded for 5 stages (11 categories) of the drug development lifecycle (discovery, early development, clinical development, registration/market launch, lifecycle management). Specific chapters of full EPAR were reviewed to substantiate the findings on RWD/RWE use in clinical trial design, efficacy, safety, and effectiveness evaluation. RWD/RWE is present in all stages of the oncology drug development; 100.0 % in discovery, 37.5 % early development, 58.3 % in clinical development, 62.5 % in registration decision and 100.0 % in post-authorization lifecycle management. Examples showed that trial design supported by RWD/RWE included use of open label/single arm studies; efficacy was about using either comparison of results to historical controls, supplying survey data obtained outside the clinical trial or utilizing expert panel advice; safety about including literature findings in evidence; and effectiveness on comparison of trial results of the given product to historical data or existing standard of care. The findings of this study provide specific insights into how RWD/RWE is used in development of cancer therapeutics, how it contributes to regulatory decision making and can guide further policy developments in this field.
| Original language | English |
|---|---|
| Article number | 100424 |
| Journal | Journal of Cancer Policy |
| Volume | 36 |
| DOIs | |
| Publication status | Published - Jun 2023 |
Keywords
- Cancer therapy
- Carcinoma
- European Medicines Agency (EMA)
- Hemato-oncology
- Oncology
- Oncology medicine
- Rare disease
- Real-World Data (RWD)
- Real-world evidence (RWE)
- Regulatory decision making
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