1. Methods for external control groups for single arm trials or long‐term uncontrolled extensions to randomized clinical trials
- Author
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John D. Seeger, Nancy C. Santanello, Wei Zhou, Almut G. Winterstein, Michelle R. Iannacone, Barry J. Gertz, Nancy A Dreyer, Kourtney Davis, and Jesse A. Berlin
- Subjects
medicine.medical_specialty ,pharmacoepidemiology ,real world data (RWD) ,Epidemiology ,Population ,Context (language use) ,single‐arm RCT ,external control ,030226 pharmacology & pharmacy ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Randomized controlled trial ,Bias ,law ,Medicine ,Humans ,Pharmacology (medical) ,long‐term extension (LTE) ,030212 general & internal medicine ,Information bias ,education ,Randomized Controlled Trials as Topic ,education.field_of_study ,business.industry ,Pharmacoepidemiology ,Control Groups ,Clinical trial ,Identification (information) ,Inclusion and exclusion criteria ,business ,Research Article - Abstract
Purpose Clinical trials compare outcomes among patients receiving study treatment with comparators drawn from the same source. These internal controls are missing in single arm trials and from long‐term extensions (LTE) of trials including only the treatment arm. An external control group derived from a different setting is then required to assess safety or effectiveness. Methods We present examples of external control groups that demonstrate some of the issues that arise and make recommendations to address them through careful assessment of the data source fitness for use, design, and analysis steps. Results Inclusion and exclusion criteria and context that produce a trial population may result in trial patients with different clinical characteristics than are present in an external comparison group. If these differences affect the risk of outcomes, then a comparison of outcome occurrence will be confounded. Further, patients who continue into LTE may differ from those initially entering the trial due to treatment effects. Application of appropriate methods is needed to make valid inferences when such treatment or selection effects are present. Outcome measures in a trial may be ascertained and defined differently from what can be obtained in an external comparison group. Differences in sensitivity and specificity for identification or measurement of study outcomes leads to information bias that can also invalidate inferences. Conclusion This review concentrates on threats to the valid use of external control groups both in the scenarios of single arm trials and LTE of randomized controlled trials, along with methodological approaches to mitigate them.
- Published
- 2020