Incorporation of real-world data to a clinical trial: use of external controls.
Tae-Eun KimSang In ParkKwang-Hee ShinPublished in: Translational and clinical pharmacology (2022)
As real-world data (RWD) becomes more available and the methodology for handling RWD evolves, the use of RWD in drug development and drug approval is drawing interest. One of the ways RWD can be applied to a clinical trial is using an external control, a cohort of patients established separately serving as a control group for the clinical trial's treatment group. Although external controls have the possibility of bias as a result of differences in baseline characteristics between the external control and experimental groups, selecting an appropriate data source and ensuring comparability through proper handling of the data can increase the utility of external controls, raising the efficiency of drug development. This article discusses several topics relevant to using external controls in clinical trials, including the definition of external control, the selection of data sources, the strategy ensuring comparability, current regulatory circumstances, and future directions.
Keyphrases
- clinical trial
- electronic health record
- big data
- phase ii
- open label
- end stage renal disease
- study protocol
- chronic kidney disease
- transcription factor
- emergency department
- data analysis
- phase iii
- machine learning
- newly diagnosed
- prognostic factors
- drinking water
- artificial intelligence
- deep learning
- placebo controlled