Confusing Placebo Effect with Natural History in Epilepsy: A Big Data Approach.

ANNALS OF NEUROLOGY(2015)

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摘要
For unknown reasons, placebos reduce seizures in clinical trials in many patients. It is also unclear why some drugs showing statistical superiority to placebo in one trial may fail to do so in another. Using , a patient-centered database of 684,825 seizures, we simulated placebo and drug trials. These simulations were employed to clarify the sources of placebo effects in epilepsy, and to identify methods of diminishing placebo effects. Simulation 1 included 9 trials with a 6-week baseline and 6-week test period, starting at time 0, 3, 6...24 months. Here, placebo reduced seizures regardless of study start time. Regression-to-the-mean persisted only for 3 to 6 months. Simulation 2 comprised a 6-week baseline and then 2 years of follow-up. Seizure frequencies continued to improve throughout follow-up. Although the group improved, individuals switched from improvement to worsening and back. Simulation 3 involved a placebo-controlled drug trial, to explore methods of placebo response reduction. An efficacious drug failed to demonstrate a significant effect compared with placebo (p=0.12), although modifications either in study start time (p=0.025) or baseline population reduction (p=0.0028) allowed the drug to achieve a statistically significant effect compared with placebo. In epilepsy clinical trials, some seizure reduction traditionally attributed to placebo effect may reflect the natural course of the disease itself. Understanding these dynamics will allow future investigations into optimal clinical trial design and may lead to identification of more effective therapies. Ann Neurol 2015;78:329-336
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关键词
placebo effect,epilepsy,big data,natural history
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