Cutoff criteria for the placebo response: a cluster and machine learning analysis of placebo analgesia.
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In this paper, the authors used data from an experimental study on placebo analgesia to suggest a statistical procedure to separate placebo responders from nonresponders and suggest cutoff values for when responses to placebo treatment are large enough to be separated from reported symptom changes in a no-treatment condition.Abstract:
Computations of placebo effects are essential in randomized controlled trials (RCTs) for separating the specific effects of treatments from unspecific effects associated with the therapeutic intervention. Thus, the identification of placebo responders is important for testing the efficacy of treatments and drugs. The present study uses data from an experimental study on placebo analgesia to suggest a statistical procedure to separate placebo responders from nonresponders and suggests cutoff values for when responses to placebo treatment are large enough to be separated from reported symptom changes in a no-treatment condition. Unsupervised cluster analysis was used to classify responders and nonresponders, and logistic regression implemented in machine learning was used to obtain cutoff values for placebo analgesic responses. The results showed that placebo responders can be statistically separated from nonresponders by cluster analysis and machine learning classification, and this procedure is potentially useful in other fields for the identification of responders to a treatment.read more
Citations
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The underappreciated placebo effects and responses in randomized controlled trials on neck pain: a systematic review with meta-analysis.
Tengyue Hu,Youlin Long,Leting Wei,Yu Rong Zheng,Yingmu Tong,Mei Yuan,Chang-Lu Liu,Xinyi Wang,Yifei Lin,Qiong Guo,Jin-kai Huang,Liangshuo Du +11 more
TL;DR: In this paper , the authors quantify placebo effects and responses in randomized controlled trials (RCTs) on neck pain and explore how they would influence the treatment of neck pain, finding that 38.0% of the pain score reduction in patients treated with active interventions was caused by placebo.
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