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Placebo responses and central neuropathic pain: from meta- to pooled analysis of clinical trial data



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Defined as a reduction in pain without a biologically active therapeutic, the placebo response includes the placebo effect (i.e., psychobiological factors that cause a reduction in rating) in addition to other contributing factors, such as natural and expected fluctuations in pain [4]. To improve the design of future clinical trials, recent work has identified factors that predict placebo responses [3,5,8,10,11,13,15,17]. This has been done for several chronic pain conditions, and has uncovered a number of important relationships. For example, it is well established that people with higher pain ratings are also more likely to report greater reductions in pain [7,9].

The fundamental assumption of this area of research is that if placebo responses can be predicted, we can better design studies to maximize the detection of significant and clinically meaningful treatment effects. This is supported by the fact that “successful” clinical trials (i.e., those shown to significantly reduce pain) tend to have the smallest placebo responses [1].

In our recent study published in Pain, we focussed on understanding the placebo response among individuals with central neuropathic pain [6]. Central neuropathic pain arises due to damage in the spinal cord or brain (i.e., the central nervous system), and is common after stroke and spinal cord injury, and in patients with multiple sclerosis. Symptoms include continuous burning, as well as so-called “evoked pain” (e.g., feeling of pain to a stimulus that should otherwise not be considered painful). These symptoms are often very severe, negatively affect quality of life, and are very difficult to manage.

To address predictors of placebo responses in people with central neuropathic pain, we performed a meta-analysis. This type of analysis pools together the results from completed clinical trials, in order to produce an aggregate, overall estimate of an effect. To perform this analysis, we extracted pain ratings before and after treatment with placebo, as well as the number of male and females in the study, the average age of the group administered placebo, and characteristics of their pain. In total, 39 clinical trials involving individuals with neuropathic pain due to stroke, spinal cord injury, and multiple sclerosis were reviewed. Overall, we found significant reduction in pain due to placebo. Upon closer inspection, smaller placebo responses were seen for studies with a longer average duration of pain. In general, we think this observation fits with what is known about placebo responses: when individuals come to expect less benefit, placebo responses decrease [12,14]. In the case of central neuropathic pain, long durations may reflect, to some degree, that other medications have failed, and the individual now only expects a minimal benefit.

We also explored if damage in the spinal cord could interfere with placebo responses. We were interested in specifically addressing the role of the spinal cord because: 1) previous studies in healthy people have demonstrated an important role for the spinal cord in generating placebo, and 2) the research in our laboratory is focused on issues related to spinal cord injury (www.icord.org). Our hypothesis was that people with more severe damage in the spinal cord would have smaller placebo responses, owing to the disruption of central nervous tissue in the spinal cord. However, the severity of spinal cord injury was not an important factor: studies that included the most severe injuries demonstrated comparable placebo responses to studies incorporating less severe injuries. Therefore, based on the results of our meta-analysis, damage in the spinal cord does not change how a person responds to placebo treatment.

In theory, including only individuals with longstanding pain in clinical trials could serve as a strategy to yield lower placebo responses in randomized controlled trials. In turn, this could increase the likelihood of measuring a statistically significant treatment effect in the active treatment group. However, such a conclusion should be met with caution. First, a major concern is that patients with longstanding pain may also be the least likely to respond to an active treatment. Therefore, lowering placebo responses may inadvertently make it more difficult to assess treatment effects. Second, limiting inclusion into clinical trials to individuals with small placebo responses has dangerous implications in terms of the generalizability. The difficulty of generalizing trial outcomes increases as more specific and accurate criteria emerge to predict placebo responders. Eventually, treatments may only be tested and therefore proven effective in a very small cohort of patients.

Perhaps most importantly, there is the issue of the “ecological fallacy”. Meta-analyses operate on the assumption that group data reflect what is happening at the individual subject level. However, individual level relationships can be overlooked. This means, for example, that factors that did not predict placebo responses (e.g., injury severity), may actually be important to consider. The only way around the ecological fallacy is to consider raw clinical trial data. To date, surprisingly few analyses of raw placebo data from clinical trials has been performed [2,15,16]. The next step in our research will attempt to address the ecological fallacy by accessing completed clinical trials. We hope to include as many clinical trials involving individuals with central neuropathic pain as possible, both from industry sponsored and academic studies. A focus of this work will continue to investigate the potential role of the spinal cord in individuals with spinal cord damage, which we hope will yield new insights into the underlying physiology of placebo.

About the authors

John Kramer

John KramerDr. Kramer is an Assistant Professor in the School of Kinesiology at the University of British Columbia and Principal Investigator at ICORD (International Collaboration on Repair Discoveries).  Dr. Kramer has worked in the field of neuroscience, primarily in the area of spinal cord injury (SCI). The Kramer lab is chiefly focused on understanding mechanisms involved in central neuropathic pain after SCI, and the impact on neurological recovery. Dr. Kramer is a Michael Smith Foundation for Health Research and Rick Hansen Institute Scholar. Research in his lab is currently funded by support from Wings for Life and NSERC (National Science and Engineering Research Council of Canada).

Jacquelyn Cragg

cragg_jacquelynDr. Cragg is a Post-doctoral Fellow at the Harvard T.H. Chan School of Public Health and the University of British Columbia. Dr. Cragg is an experienced epidemiologist who specializes in neurological disorders such as spinal cord injury, Parkinson’s disease, ALS, and migraine. She is the ALS Canada Tim E Noël Postdoctoral Fellow, and also supported by the Michael Smith Foundation for Health Research.

Freda Warner

Freda WarnerMs. Warner is a PhD student in the School of Kinesiology at the University of British Columbia, and works in the lab of Dr. Kramer. After completing a Master’s degree in Public Health, she joined the Kramer lab to apply epidemiological techniques in the field of spinal cord injury, with an aim of understanding the effects of pain and pain management on neurological outcomes following spinal cord injury.


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Commissioning Editors: Lorimer Moseley, Carolyn Berryman, Neil O’Connell 

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