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Publicly Available Published by De Gruyter June 30, 2020

Can insights from placebo and nocebo mechanisms studies improve the randomized controlled trial?

  • Lene Vase EMAIL logo

Abstract

Background and aims

The randomized controlled trial (RCT) is currently facing several challenges, one of these being that the placebo response appears to be increasing in RCTs, thereby making it difficult to demonstrate an effect of potentially new treatments over placebo. This problem has primarily been approached by predicting the magnitude of the placebo response via stable factors, such as demographic variables, and/or by developing complex designs aimed at reducing the placebo response in the hope that it will improve the test of the active treatment. Yet, the success of this approach has so far been limited.

Methods

A new approach toward improving the RCT is put forward based on placebo and nocebo mechanism studies, i.e. studies that investigate the mechanisms underlying placebo analgesia and nocebo hyperalgesia. In a series of meta-analyses the magnitude of placebo and nocebo effects were determined. Experimental studies across nociplastic and neuropathic pain conditions and across pharmacological and acupuncture treatments investigated psychological and neurobiological mechanisms underlying these effects. The obtained results were used to make approximations of expectations to see if that could predict the placebo response in RCTs and function as a new way of tapping into the placebo component of treatment effects.

Results

The magnitude of placebo and nocebo effects is large and highly variable. Placebo effects exist across chronic pain conditions with varying degrees of known etiology as well as across pharmacological and non-pharmacological treatments. Patients’ perception of the treatment, the verbal suggestions given for pain relief, and the patients’ expectations toward pain relief contribute to the magnitude of the placebo effect and to pain relief following placebo interventions. Also, unintentional unblinding and patients’ perception of a treatment markedly influence the treatment outcome. By making approximations of expectations toward treatment effects it was possible to predict the magnitude of the placebo response in RCTs.

Conclusions and implications

The new approach of tapping into or directly asking patients about their perception and expectations toward a treatment, along with the account of the natural history of pain, has the potential to improve the information that can be obtained from RCTs. Thus, by interfacing insights from placebo and nocebo mechanism studies, it may be possible to enhance the information that can be obtained from RCTs and to account for a large part of the variability in the placebo component of the overall treatment effect. This approach has the potential to improve the scientific evaluation of treatments, as well as to illustrate how the effect of treatments can be optimized in clinical practice, which is the crux of evidence-based medicine.

1 Publications included in the corresponding doctoral dissertation

  1. Vase L, Riley JL 3rd, Price DD. A comparison of placebo effects in clinical analgesic trials versus studies of placebo analgesia. Pain 2002;99:443–52. PubMed PMID: 12406519.

  2. Vase L, Petersen GL, Riley JL 3rd, Price DD. Factors contributing to large analgesic effects in placebo mechanism studies conducted between 2002 and 2007. Pain 2009;14536–44. doi:10.1016/j.pain.2009.04.008. Epub 2009 Jun 25. PubMed PMID: 19559529.

  3. Petersen GL, Finnerup NB, Colloca L, Amanzio M, Price DD, Jensen TS, Vase L. The magnitude of nocebo effects in pain: a meta-analysis. Pain 2014;155:1426–34. doi:10.1016/j.pain.2014.04.016. Epub 2014 Apr 26. PubMed PMID: 24780622.

  4. Vase L, Robinson ME, Verne GN, Price DD. The contributions of suggestion, desire, and expectation to placebo effects in irritable bowel syndrome patients. An empirical investigation. Pain 2003;105:17–25. PubMed PMID: 14499416.

  5. Vase L, Nørskov KN, Petersen GL, Price DD. Patients’ direct experiences as central elements of placebo analgesia. Philos Trans R Soc Lond B Biol Sci 2011;366:1913–21. doi:10.1098/rstb.2010.0402. PubMed PMID: 21576149.

  6. Petersen GL, Finnerup NB, Grosen K, Pilegaard HK, Tracey I, Benedetti F, Price DD, Jensen TS, Vase L. Expectations and positive emotional feelings accompany reductions in ongoing and evoked neuropathic pain following placebo interventions. Pain 2014;155:2687–98. doi:10.1016/j.pain.2014.09.036. Epub 2014 Oct 2. PubMed PMID: 25281929.

  7. Vase L, Baram S, Takakura N, Yajima H, Takayama M, Kaptchuk TJ, Schou S, Jensen TS, Zachariae R, Svensson P. Specifying the nonspecific components of acupuncture analgesia. Pain 2013;154:1659–67. doi:10.1016/j.pain.2013.05.008. Epub 2013 May 23. PubMed PMID: 23707680.

  8. Vase L, Baram S, Takakura N, Takayama M, Yajima H, Kawase A, Schuster L, Kaptchuk TJ, Schou S, Jensen TS, Zachariae R, Svensson P. Can acupuncture treatment be double-blinded? An evaluation of double-blind acupuncture treatment of postoperative pain. PLoS One 2015;10:e0119612. doi:10.1371/journal.pone.0119612. PubMed PMID: 25747157.

  9. Vase L, Vollert J, Finnerup NB, Miao X, Atkinson G, Marshall S, Nemeth R, Lange B, Liss C, Price DD, Maier C, Jensen TS, Segerdahl M. Predictors of the placebo analgesia response in randomized controlled trials of chronic pain: a meta-analysis of the individual data from nine industrially sponsored trials. Pain 2015;156:1795–802. doi:10.1097/j.pain.0000000000000217. PubMed PMID: 25955965.

The doctoral dissertation was defended on the 23rd of March, 2018.

2 Introduction

Placebo is Latin for “I shall please” [1], [2], [3]. Traditionally, placebos have been seen as treatments that were given in order to comfort or please patients rather than for efficacy [1], [2], [4], [5]. In modern medicine, placebos are typically conceptualized as inactive sham treatments such as sugar pills and saline injections that are used as controls for the active treatment under investigation in randomized controlled trials (RCTs) [1], [6], [7]. Recently, however, placebo has emerged as an independent research field [6], [7], [8], [9], [10], [11], [12], [13], termed the study of placebo mechanisms [1], [9], [14], [15], [16]. This line of research investigates how patients’ experience and perception of receiving a treatment contribute to the overall efficacy of the treatment [6], [15], [17], [18]. Hence, in medical science at least two different ways of conceptualizing and investigating placebo effects exist as illustrated in RTCs and placebo mechanism studies.

During the last decade, pharmaceutical companies and academia have reported an increasing placebo response in RCTs of analgesics and antidepressants with time [19], [20], [21], [22]. The increasing placebo response is assumed to contribute to the growing problem of showing an advantage of the active medication over placebo, thereby potentially hampering the development of new drugs [21], [23], [24], [25]. For example, over 90% of potential new drugs for treatment of neuropathic and cancer pain were discontinued during the last decade because of their failure rate [17], [26]. The underlying reason for the increase in placebo response is largely unknown, but several attempts are currently made to overcome this problem [17], [24], [27]. These approaches generally aim at identifying high placebo responders [24], [27] and/or developing test designs that eliminate high placebo responders [24], [28]. The underlying assumption appears to be that if high placebo responders are removed from the trials, it may be easier to assess the effect of the active drug [24], [27]. Yet, so far the success of these approaches has been limited [17], [29]. Based on the knowledge of placebo and nocebo (“I shall harm”) mechanism studies, it is not surprising that such approaches have had limited success. Placebo and nocebo effects are highly variable and relate to patients’ perception of the treatment [15], [16], [17]. Hence, simple one-dimensional stable factors, such as ethnicity and socioeconomic status, may not be the best predictors of placebo responses [18], [30]. Also, placebo factors, such as expectancy, contribute to the efficacy of both placebo and active treatments [17], [31], [32], [33], so by eliminating high placebo responders, the effect of the active treatment may also be reduced [17], [34].

Hence, although the use of placebo controls in RCTs and the investigation of placebo mechanisms have been two relatively separate fields of research, there is a renewed interest in understanding if findings from placebo and nocebo mechanism studies may help improve the understanding of the outcomes of RCTs [17], [29], [35], [36], [37]. In this article, which is a short version of a doctoral dissertation, this topic will be investigated in relation to pain.

3 Methods

The methods that will be used to investigate placebo and nocebo effects are as follows:

3.1 Methods

3.1.1 Meta-analyses

The magnitude and the variability of placebo and nocebo effects will be established via meta-analyses. In short, a meta-analysis is a quantitative statistical analysis of several separate but similar experiments or studies. The effect size and variance for each study are calculated, and the weighted mean of these effect sizes is compared in order to estimate the magnitude of the phenomenon under study, here the placebo or the nocebo effect [38]. In the meta-analyses included in the present dissertation, the effect sizes will primarily be calculated and reported according to Cohen’s d, where a value of 0.2 is considered a small mean effect size, a value of 0.5 a medium mean effect size, and a value of 0.8 a large mean effect size [39] (Studies I–III). Some of these effect sizes will be weighted according to the number of participants in each of the individual studies either via d̅ (Study II) or Hedges’g (Study III) [40], [41], which is a variation of Cohen’s d that corrects for biases due to small sample sizes. These approaches give a weighted effect size with a weighting corresponding to that of a fixed-effect analysis. In a random effect model (Study IX), the average placebo effect is reported together with a confidence interval that also accounts for the heterogeneity between studies [38].

3.1.2 Experimental method

Placebo and nocebo effects are investigated in designs where an inactive placebo/nocebo treatment is tested against no treatment to calculate the placebo/nocebo effect (Studies IV,V,VII, VIII). Yet, as placebo and nocebo effects are related to the context and to patients’ perception of the treatment (cf. definitions below), it is also possible to investigate placebo and nocebo effects in studies in which no inactive treatments are given. This is done via the so-called open versus hidden design, where active treatments (e.g. lidocaine for pain reduction and capsaicin for pain increase) are given either in full view of the patient (open) or without the patient’s knowledge (hidden) and compared to a no-treatment condition [6], [31], [42], [43]. The difference between the open and the hidden administration of the agent represents the placebo component of the treatment, whereas the difference between the hidden administration and the no-treatment represents the efficacy of the pharmacological agent (Study VI).

Psychophysical tests in which a standardized and well-characterized exogenous stimulus is applied to the patient so that he/she can rate the perceived intensity of the sensation will be used ([44], Studies IV,VI). Evoked pain will be induced and based on standardized written statements, patients will be instructed how to rate their perception of pain on visual analog scales or numeric rating scales [44], [45], [46]. The visual analog scales will, for example, be anchored by “no pain sensation” at the left and “the most intense sensation imaginable” on the right, and the patient will be asked to mark the point on the line that corresponds to the perceived pain sensation [45]. The visual analog scales will be used to rate both pain intensity and pain unpleasantness as well as a range of psychological factors such as expectancy, desire, and anxiety, and the verbal anchors will be adapted accordingly [45], [46], [47].

3.1.3 Experiential method

In order to get a better understanding of patients’ perception of the treatment, the experiential method will be used (Studies V and VI). The experiential method combines basic phenomenology with psychometric methods [44], [46], [48]. Patients are trained to relive a brief episode of the treatment session and/or to notice brief episodes of direct experience, such as the experience of the description of the treatment agent or the emotional feelings in relation hereto, and to report these experiences without interpretation and explanation. These experiential reports are qualitatively sampled to determine the common elements within the experience and to characterize the interrelationships among them. The patients are also asked to rate the reports using psychometric methods (e.g. visual analog scales) to investigate whether the reports of the direct experience are in agreement with the quantitative experimental data [46], [49].

3.2 Definitions

At present, no single definition encapsulates the conceptualization of placebo effects, yet researchers seem to agree that placebo analgesia effects are related to “the meaning in the origins or treatment of illness” [50], p. 472], “the context” [6], p. 36] and more specifically “the patient’s perception of the therapeutic intervention” [15], [16], p. 451, 51]. Thus it seems to be a predominantly conscious process, although this understanding has been questioned [52], [53], [54]. In the present dissertation, the following definitions will be used:

3.2.1 The placebo phenomenon

The placebo phenomenon is related to the patients’ or the experimental subjects’ “perception or direct experience of a treatment, i.e. seeing, smelling and hearing verbal information about the treatment as well as actively integrating this sensory information with memories of previous experiences and current expectations” [51], [55], p. 122].

3.2.2 Placebo agent

“All external aspects of the therapeutic intervention that can be perceived by the patient or experimental subject” [56], p. 207]. Please note that this includes sham treatments like sugar pills, but it is not limited to the physical agents [6]], [15].

3.2.3 The placebo analgesia effect

“The measured difference in pain across an untreated and a placebo-treated group or across an untreated and placebo-treated condition within the same group (as in crossover studies)” [6]], [15], [56], p. 207, 57], [58].

3.2.4 The placebo analgesia response

“A reduction in pain in an individual that results from his or her perception of the therapeutic intervention” [56], p. 207]. The experience of receiving a treatment is assumed to be different within an individual across natural history and placebo administration conditions [37].

Recently, however, the placebo response has also been defined according to a treatment response, which is “the change that one observes following the administration of the treatment” [58], p. 102]. Hence, the placebo analgesia response is seen as the change in pain following the administration of an inert placebo agent [58]. This terminology is introduced to differentiate between the well-controlled placebo effects, where the placebo treatment is compared to a no-treatment group/condition, as it is typically done in placebo mechanism studies, and the uncontrolled placebo responses observed following a placebo treatment as typically investigated in RCTs [58]. For the sake of clarity, this distinction and terminology will be used in the present dissertation, although the former definition of the placebo response has been used in some of the studies that are part of the dissertation.

3.2.5 The nocebo phenomenon

This phenomenon was first named by Kennedy [59]. It was originally introduced to describe the negative effects of a placebo treatment [60] and may still be used in this manner [61], [62]. Yet, today it is primarily conceptualized as an independent phenomenon that mirrors the placebo effect [6]], [63]. Accordingly, the nocebo effect is seen as the effect that follows the administration of an inert treatment along with behavioral procedures and/or verbal suggestions that tend to worsen symptoms [64]. Like placebo effects, nocebo effects are differentiated from the natural history of pain [6]], [17]. The definitions of the nocebo phenomenon, agent, effect, and response mirror the definitions listed under placebo.

3.2.6 Pain

“An unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage” [65].

3.2.7 Nociplastic pain

“Pain that arises from altered nociception despite no clear evidence of actual or threatened tissue damage causing the activation of peripheral nociceptors or evidence for disease or lesion of the somatosensory system causing the pain” [66].

3.2.8 Neuropathic pain

”Pain caused by a lesion or disease of the somatosensory nervous system” [67].

3.3 Aim of studies

The aim of the present doctoral dissertation was to investigate if knowledge of placebo and nocebo mechanisms could help improve the information that can be obtained from RCTs. The main questions addressed were:

  1. What are the average magnitude and the variability of placebo and nocebo effects in relation to pain?

  2. Do placebo and nocebo effects exist in chronic pain conditions with varying degree of known etiology (i.e. nociplastic and neuropathic pain), and is it possible to identify central factors that contribute to the variability of these effects?

  3. Do placebo effects exist in relation to non-pharmacological treatments like acupuncture, and to which extent are these effects and the overall treatment outcome influenced by the success of blinding and the perception of treatment allocation?

  4. Based on these studies, is it possible to develop new ways of predicting the placebo response in RCTs as well as to propose alternative and/or additional ways of accounting for the placebo component of medical treatments?

4 Results

4.1 The magnitude of placebo and nocebo effects

4.1.1 Is the placebo powerless?

In 2001, Hrobjartsson and Gøtzsche published a meta-analysis entitled “Is the Placebo Powerless?”, which involved 114 randomized clinical trials covering 40 different diseases, one of them being pain [68]. All trials included a no-treatment condition in order to allow for a calculation of the placebo effect. Across most of the conditions, no placebo effects were found, but in the 27 studies involving continuous outcome measures of pain, a significant effect of placebo was found as indicated by a pooled standardized mean difference of −0.27 (95% CI: −0.40 to −0.15). Since pain is a subjective experience, and therefore subjectively reported, the authors suggested that the significant placebo analgesia effect was caused by response bias. This meta-analysis roused attention and was by some interpreted as if placebo effects were non-existent [69], [70]. Yet, the meta-analysis and the conclusions were subsequently questioned and debated, for example, the number and the quality of the included studies [71], the interpretation of the data [72], [73], and especially the conceptualization of placebo effects [74], [75], [76], [77], [78]. Hróbjartsson and Gøtzsche conceptualized placebo as “an intervention labeled as such” [68], p. 1595], primarily including inactive agents such as sugar pills, saline injections, and turned off vibrators. Interestingly, the doctor-patient relationship and the patients’ expectations were not seen as part of the placebo effect [68], p. 1599].

4.1.2 Does the design of the study influence the magnitude of the placebo analgesia effect?

In 2002, Vase and colleagues conducted two meta-analyses of placebo analgesia effects published in one article (Study I) to test whether the design/purpose of the study influenced the magnitude of placebo analgesia. In these meta-analyses, all studies also included placebo-treated and no-treatment groups/conditions. The first meta-analysis included 23 double-blind RCTs, and, in line with the findings by Hrobjartsson and Gøtzsche, a small but significant placebo analgesia effect was found as indicated by an effect size of 0.15 (range: −0.95 to +0.57, Cohen’s d). In contrast, the second meta-analysis included 14 placebo mechanism studies and found a large and significant placebo analgesia effect of 0.95 (range: −0.64 to +2.29, Cohen’s d). Noteworthily, the magnitude of placebo analgesia effects was significantly different in the two types of meta-analyses, showing that the magnitude of the placebo analgesia effect is markedly larger in studies that investigate placebo mechanisms than in studies in which placebo is used as a control condition.

The results of the two meta-analyses have been debated and recalculated [79], [80], [81], [82], [83], but the finding that magnitudes of placebo analgesia effects are high in placebo mechanism studies has remained consistent [16], [81], [82]. When the mean effect size in the placebo mechanism studies was weighted according to the number of participants [79], the effect size was 1.14 (Cohen’s d) [81], and when the magnitude was recalculated based on the ambiguities stated by Hrobjartsson and Gøtzsche [80], the effect size was 0.97 (Cohen’s d) [82]; i.e. both above a Cohen’s d value of 0.8, which is considered a large effect [39].

4.1.3 Updated meta-analyses

Both Hróbjartsson and Gøtzsche and Vase and colleagues have conducted new and updated meta-analyses as new studies have become available ([83], [84]; Study II). In 2004 and 2010, Hrobjartsson and Gøtzsche updated their meta-analyses with a total of 44 and 66 clinical trials, respectively, with continuous measures of pain, leading to small but significant pooled standardized mean differences of −0.25 (95% CI: −0.35 to −0.16) and −0.28 (95% CI: −0.36 to −0.19), respectively. In 2009, Vase and colleagues conducted a new meta-analysis of 24 placebo mechanism studies, which yielded a large average magnitude of the placebo analgesia effect as indicated by an effect size of 1.00 (range: 0.12–2.51, Cohen’s d) and an effect size of 0.81 d̅, when the average effect size was weighted by the number of subjects in each study (Study II). Hence, the meta-analyses consistently show that the magnitude of the placebo analgesia effect is low in clinical trials and large in placebo mechanism studies. In addition, a recent meta-analysis of placebo mechanism studies has shown an average effect size of 1.29, Hedges’ g (95% CI: 1.07–1.51), thereby corroborating that the magnitude of the placebo analgesia effect is large in placebo mechanism studies [85].

4.1.4 Meta-analysis of nocebo hyperalgesic effects

With the emergence of well-controlled nocebo studies and reviews hereof [63], [86], [87], [88], [89], [90], it has become possible to conduct a meta-analysis of nocebo mechanism studies to test whether the magnitudes of nocebo and placebo effects are comparable (Study III). Ten studies involving a nocebo and a no-treatment condition were included, yielding a lowest effect size of 0.62 (0.24–1.01, Hedges’ g) and a highest effect size of 1.03 (0.63–1.43, Hedges’ g), so the magnitude of the nocebo hyperalgesia effect appears to be moderate to large, which is roughly similar to the magnitude of placebo analgesia effects. These effect sizes were also highly variable.

4.1.5 Discussion of the magnitude of placebo analgesia and nocebo hyperalgesia

The meta-analyses by Hrobjartsson and Gøtzsche [68], [83], [84], and, Vase and colleagues (Studies I and II) indicate that when placebo is used as a control condition in clinical trials, the average magnitude of placebo analgesia effects is low, whereas it is high in placebo mechanism studies. This finding is not surprising. Clinical trials aim at controlling for placebo effects, not at optimizing placebo effects. For example, participants are typically told via the informed consent that they may receive “either an active pain medication or an inactive placebo agent”, which may lead patients to have uncertain expectations about treatment effects. On the other hand, placebo mechanism studies often focus on the interaction with the healthcare provider, and participants are typically given explicit verbal suggestions to the effect that “this agent has been shown to powerfully reduce pain in some patients”, thereby optimizing patients’ potential for developing expectations of low pain levels. Experimental studies have supported this interpretation of the data (see below).

The magnitude of nocebo effects is moderate to large in nocebo mechanism studies (Study III) and overall the magnitude and the variability of placebo and nocebo effects are roughly similar (Studies I–III). In addition, the magnitude of both placebo and the nocebo effects appears to be largest when the effects are induced via a combination of verbal suggestions and conditioning (Studies I and III).

A predominant finding of the meta-analyses ([68], [80], [83], [84]; Studies I–III) is that the magnitude of placebo and nocebo effects is highly variable (see ranges of effect sizes above). Therefore, instead of debating the exact magnitude of placebo or nocebo effects, it may be more valuable to investigate the factors that contribute to the observed variability. Although the meta-analyses have highlighted some of the factors (e.g. that verbal suggestions combined with conditioning are associated with larger placebo and nocebo effects (Studies I and III) and that long-duration stimuli are associated with large placebo analgesia effects (Study II)), experimental studies are needed to further understand this relationship. Importantly, the meta-analyses indicate that it is relevant to test this, not only in nociceptive but also in hyperalgesic pain states (Study II).

4.2 Placebo and nocebo effects in chronic pain conditions

4.2.1 Experimental studies of nociplastic pain

In 2003, Verne and colleagues conducted a clinical trial with the aim of testing whether lidocaine was a valid treatment for patients suffering from irritable bowel syndrome (IBS) [91]. Ten IBS patients were exposed to rectal balloon distention under rectal lidocaine, rectal placebo, and no treatment in a crossover fashion, and in the two treatment conditions the patients were told that they would receive either an active or a placebo treatment. In this study, there was a significant effect of lidocaine over placebo and a significant effect of placebo over no treatment [91].

At the same time, Vase and colleagues conducted the first placebo and nocebo mechanism study in chronic pain patients with the aim of understanding the psychological mechanisms of placebo and nocebo effects (Study IV). Thirteen IBS patients were exposed to no treatment, rectal placebo, rectal lidocaine, and rectal nocebo in a crossover fashion while receiving verbal suggestions for pain reduction (rectal placebo and lidocaine conditions) or pain increase (rectal nocebo condition) and reporting expected pain levels and desire for pain relief. A large placebo effect was found, as indicated by a significant difference between the placebo and no-treatment conditions, and it increased over the 50-min interval of the study (average Cohen’s d=1.79). The pain levels were higher in the rectal nocebo condition than in the no-treatment condition, but there was no significant nocebo hyperalgesia effect. Also, there was no significant effect of lidocaine. Expected pain levels and desire for pain relief accounted for 77% of the variance in pain levels following placebo administration, and, 81% of the variance in pain intensity levels following lidocaine administration (Study IV).

These results show that large placebo effects can be obtained in a chronic pain population. They corroborate the findings of the meta-analyses reviewed above, in so far as the magnitude of the placebo effect was low in the RCT [91], whereas it was high in the placebo mechanism study (Study IV). These experimental studies further substantiate the meta-analyses by showing that verbal suggestions given for pain relief are likely to contribute to the difference in the magnitudes of placebo effects across the two types of studies. The finding that explicit verbal suggestions for pain relief are related to large magnitudes of placebo effects has been confirmed by subsequent experimental studies [15], [32], [33], [49], [52], [92], [93], [94], [95], [96], [97], [98], [99], [100].

Subsequent placebo mechanism studies have also demonstrated significant placebo effects in chronic nociplastic pain conditions like IBS [95], [96], [97], [100], [101]. For example, Kaptchuk and colleagues conducted a study of placebo acupuncture, in which 262 IBS patients were tested under the following conditions: no treatment (waiting list), placebo acupuncture with limited interaction with the healthcare provider, and placebo acupuncture with augmented interaction with the healthcare provider. Both placebo conditions yielded significant placebo effects in relation to no treatment, and the augmented placebo condition yielded a larger effect than the limited placebo condition [97]. Hence, today it is well established that large placebo effects exist in chronic nociplastic pain.

4.2.2 Qualitative studies of nociplastic pain

In order to further understand how patients’ perception of a treatment and of the verbal suggestions given for pain relief influences the treatment, 25 IBS patients were interviewed about their direct experience of receiving a treatment immediately after a placebo treatment or a lidocaine treatment (Study V). All of the patients perceived the treatment as an active treatment, and most of them mentioned the relationship with the doctor, whom they generally described as likeable, as central to their perception of the treatment. The doctor gave the same verbal suggestions to all patients, but the patients perceived this description of the agent differently. The majority of the patients went along with the suggestions and generated positive expectations of treatment efficacy, whereas a minority of the patients did not use the verbal suggestions to guide their expectations of treatment efficacy but were waiting to see if the treatment worked. The placebo effects increased during the session, and at the beginning of the treatment, many patients reported listening to the doctor’s verbal suggestions and matching them with their bodily sensations, whereas toward the end of the treatment they were focused on things outside their body. The majority of the patients felt calm throughout the treatment.

Although the interview data corroborate previous quantitative findings [33], they are to some extent at variance with the results of one of the few other quantitative studies of placebo analgesia effects [102]. This interview was conducted as part of the placebo acupuncture study of IBS patients outlined above [97]. Both this and our qualitative study found that the relationship with the healthcare provider is central. However, patients in the acupuncture study were concerned with whether they were receiving placebo or active treatment and they did not spontaneously report expectations of relief but of hope. There are several factors that may explain the partially different findings between the two qualitative studies; a central one being that the acupuncture study was conducted as an RCT, which may have drawn patients’ attention to the possibility of receiving an inactive treatment. Also, the patients did not know the acupuncturist beforehand, so expectations, which were not directly measured in the study, may have been lower in this study as compared to Study V. Yet, it should be noted that hope is known to be a combination of expectations and desires as it has been defined as a wish or a desire accompanied by an expectation of its fulfilment [103].

4.2.3 Placebo and nocebo effects in chronic neuropathic pain

Petersen and colleagues conducted the first combined placebo and nocebo mechanism study in chronic neuropathic pain patients (Study VI). Eighteen patients who had developed chronic neuropathic pain following thoracotomy were exposed to placebo and nocebo manipulation by an open versus a hidden application of lidocaine and capsaicin, respectively, compared to no treatment. The open administrations were accompanied by verbal suggestions for pain decrease and increase, respectively. Expected pain levels and emotional feelings were obtained, and the patients were exposed to quantitative sensory testing. For the first time, large and significant placebo effects were seen on spontaneous ongoing pain (Cohen’s d=1.01). There were also large placebo effects on evoked types of pain (Cohen’s d=0.89–2.01), which corroborates the findings of a previous study [99], but there was no significant nocebo effect. Expected pain levels significantly predicted the variance in spontaneous pain (53%) and evoked pain (24–35%), and patients had high levels of positive emotions and low levels of negative emotions during the open administration of lidocaine. Expected pain levels did not contribute to the nocebo effect, and during the open administration of capsaicin patients reported medium levels of both positive and negative emotional feelings.

4.2.4 Discussion of central mechanisms of placebo and nocebo effects in chronic pain

4.2.4.1 Large placebo effects in chronic pain conditions

The studies show that placebo effects exist in chronic pain, not only in nociplastic pain but also in neuropathic pain. Subsequent studies have also demonstrated placebo effects in other types of chronic pain such as low back pain [104], [105]. The reviewed studies suggest that placebo effects are larger in clinically relevant pain (rectal distention of IBS patients and ongoing neuropathic pain) than in experimentally induced pain (cutaneous heat pain and evoked pain), which is in agreement with a study finding markedly larger placebo effects on ongoing chronic low back pain as compared to experimentally induced cold pressor pain [104]. Yet, a recent meta-analysis did not find a significant difference between the magnitude of placebo effects in patients’ clinical pain as compared to patients’ experimental pain [85]. The difference in findings between the meta-analysis that tested placebo effects in clinical pain versus experimentally induced pain across patients and studies as compared to the two experimental studies that tested placebo effects in clinical pain versus experimentally induced pain within the same patients could at least partly be due to the high heterogeneity across the methodologies used in the studies included in the meta-analysis. Still, the meta-analysis found that a significantly higher number of the studies that tested placebo effects in patients showed a clinically significant reduction in pain as compared to studies involving healthy volunteers [85].

Expected pain levels and positive emotional feelings contributed to the pain relief following placebo manipulations across the chronic pain conditions. Yet, the studies did not find significant nocebo effects in chronic pain conditions. The findings in the studies outlined above have several implications.

4.2.4.2 Verbal suggestions influence the magnitude of placebo and active treatments

The verbal suggestions given for pain relief in placebo mechanism studies appear to be so effective that they may increase the magnitude of placebo analgesia to the level of active pain medication like lidocaine ([56]], [91]; Study IV). Subsequent studies have shown that verbal suggestions may increase the efficacy of both the placebo and the active agent [32], [106], [107], and that placebo medication presented as active medication is as effective as active medication presented as placebo medication [32]. Thus, verbal suggestions for pain relief may influence the placebo effect, the drug effect, and the relationship between the two, and hence assay sensitivity. Yet, the exact nature of this interaction still warrants further investigation.

In line with these findings, expectancy did not only contribute to the pain-relieving effect following placebo administration but also to the pain-relieving effect following lidocaine administration (Study IV). This indicates that a large part of the variability in pain ratings in the lidocaine condition is mediated by placebo factors. This result is in agreement with a study by Amanzio and colleagues [31] that shows that part of the response variability to analgesic treatment is mediated by placebo factors in both experimental and clinical pain.

4.2.4.3 Expectations and emotional feelings may contribute to pain relief

Expected pain levels accounted for large amounts of the variance following placebo manipulation in the chronic pain conditions, which is in agreement with other studies on chronic low back pain [104]. Also, expected pain levels accounted for larger amounts of the variance in spontaneous ongoing pain compared with evoked pain (Study IV). Yet, a study of chronic low back pain patients that directly tested if expected pain levels could explain the larger placebo effect in spontaneous ongoing pain compared with experimentally evoked pain did not support this hypothesis [104]. Furthermore, across studies of healthy volunteers and chronic pain patients, it looks as if expected pain levels account for larger amounts of the variance following placebo manipulation in chronic pain patients, but so far this has not been systematically investigated.

The desire for pain relief as well as high levels of positive emotional feelings and low levels of negative emotional feelings contributed to the pain relief following a placebo manipulation in nociplastic and neuropathic pain, respectively. Studies on healthy volunteers assessing emotional feelings using standardized questionnaires such as the Positive and Negative Affect Scale (PANAS) have also found that low levels of negative emotions are associated with placebo analgesia, whereas high levels of positive emotions are not significantly related with placebo analgesia [99], [108]. One explanation of the seemingly contradictory results may be that during the open administration of treatment, patients do not experience the positive emotional feelings predefined in the PANAS, but instead positive emotional feelings that are captured by open reports of their immediate experience. This underscores the importance of directly asking the patients about their experience and it illustrates that, at least in relation to chronic pain patients, expectations are not neutral but embedded in emotional feelings.

4.2.4.4 What do we know about the underlying neurophysiology?

The placebo effects seen in studies of IBS and neuropathic pain patients may be anti-hyperalgesic effects (Studies IV and VI). For example, in Study VI, placebo effects were found on three measures that are likely to be associated with hyperalgesia and central sensitization: (1) maximum wind-up-like pain intensity, (2) area of secondary hyperalgesia, and (3) ongoing clinical pain. Previous studies have suggested that wind-up-like pain and secondary hyperalgesia are related to central sensitization and help maintain ongoing clinical pain [109], [110], [111], [112], [113]. Taken together, these results add to the increasing evidence that at least some forms of placebo analgesia reflect anti-hyperalgesic mechanisms. In agreement with studies of healthy volunteers, brain-imaging studies have shown that placebo effects in chronic IBS patients are associated with decreased activity in pain-related regions such as the thalamus, somatosensory cortices, insula, and anterior cingulate cortex [100]. However, in contrast to the results in healthy volunteers, the few studies that have investigated potential neurotransmitter systems involved in placebo analgesia effect in chronic pain patients have not found any indication that the endogenous opioid or dopaminergic systems are involved [33], [114], [115]. Yet, since anti-hyperalgesic effects appear to be involved in placebo effects in chronic pain conditions such as IBS and neuropathic pain, it would be interesting to test if these apparently non-opioid-mediated placebo effects can be blocked by the cannabinoid antagonist rimonabant, as seen in healthy volunteers [116]. At present, however, regulations against human use of rimonabant hinder such research.

4.2.4.5 Do nocebo effects not exist in chronic pain?

Nocebo effects were not obtained in chronic nociplastic or neuropathic pain (Studies IV and VI). There was, however, a tendency toward a nocebo effect in nociplastic pain (Study IV), but not in neuropathic pain (Study VI), although in the latter study, attempts were made to enhance the chance of obtaining a nocebo effect (e.g. by always placing the nocebo condition first). This is surprising as studies involving healthy volunteers have suggested that it is easier to obtain nocebo effects than placebo effects [117]. Yet, the findings of the studies are in agreement with the only other study that, to my knowledge, has administered inactive agents along with verbal suggestions for pain increase with the attempt of inducing nocebo hyperalgesic effects in chronic pain patients [118]. This study involved chronic low back pain patients and was also performed in a clinical setting. Hence, it can be speculated that the clinical setting is too comforting or the intervention not aversive enough to develop markedly negative expectations and emotional feelings, and hence nocebo effects. This interpretation is, at least in part, supported by the findings that although patients had expectations of higher pain levels as well as negative emotional feelings during the open administration of capsaicin, they still had moderate levels of positive emotional feelings, similar to the placebo condition, and no indications of excessively negative expectations and emotional feelings in relation to pain as seen in pain catastrophizing (Study VI). Future studies may therefore benefit from procedures that are perceived as more aversive and intrusive to the patients’ ongoing clinical pain. Although nocebo effects were not found in the outlined studies, adverse events are frequently reported in the placebo arm of RCTs [61], [62], [119], [120], [121], most likely due to the verbal suggestions given for adverse events in the informed consent [61], thereby indicating that a negative outcome is likely in chronic pain patients, and they are likely to be influenced by negative suggestions.

In summary, placebo effects appear to exist across chronic pain conditions and they seem to be influenced by the relationship with the healthcare provider, the verbal suggestions given for pain relief, and expectations embedded in emotional feelings.

4.3 Placebo effects in non-pharmacological treatment

Before Vase and colleagues conducted their study (Studies VII and VIII), the efficacy of acupuncture had primarily been tested via methods that left the healthcare provider unblinded [122], [123], [124], [125]. However, Takakura and colleagues had developed active and placebo needles, which appeared to be double-blind in studies of healthy volunteers [126], [127], [128], and in most instances also in studies of experienced acupuncturists [128], [129], [130]. Still, no study involving patients had systematically tested if acupuncture treatment could be double-blinded using penetrating (active) and non-penetrating (placebo) needles. Also, it was unknown how large the magnitude of placebo acupuncture would be under optimized blinding conditions and to what extent the effects would be mediated by expected pain levels as seen in non-pharmacological placebo analgesia studies.

Furthermore, studies of non-pharmacological treatments had started to investigate to what extent patients’ perception of treatment allocation influences the treatment outcome [131], [132]. Yet, in these studies, a no-treatment condition was not included, thereby allowing for a true calculation of the placebo effect. Also, the influence of perceived treatment allocation on expected pain levels and the temporal development of the placebo analgesia effect was not tested.

4.3.1 Placebo acupuncture under optimized blinding conditions

One hundred and one patients received active acupuncture, placebo acupuncture, or no treatment following third molar surgery. The patients rated expected and actual pain levels during the 30-min test, and they indicated perceived treatment allocation as well as their experience of de qi (in short, the experience of heaviness in relation to needle manipulation) (Studies VII and VIII). There was a large placebo effect (Cohen’s d=0.95, average of the placebo effect halfway through and at the end of the study), which increased over time (Cohen’s d=0.12, beginning; d=0.72, halfway; d=1.18, end of study). Expected pain levels contributed to pain levels following placebo administration, and expected pain levels accounted for larger amounts of the variance in the last 15 min (50–70%) compared to the first 15 min of the study (16–34%) (Study VII). Thus, under optimized blinding conditions, the magnitude of placebo acupuncture is roughly comparable to single-blinded, placebo mechanism studies in acupuncture [133]; Cohens’d=1.03, for global improvement, author’s estimate) and roughly similar to the placebo effects in pharmacological studies ([85]; Studies I and II; d=0.95, d=0.82, and g=1.29, Cohen’s d and Hedges g, respectively). Also, expected pain levels contribute to pain relief following both pharmacological and non-pharmacological medical treatments and in both types of treatment, expectations appear to have a self-reinforcing effect ([33], [95]; Study VII). It has been speculated that verbal suggestions for pain relief may lead to expectations of pain relief, which contributes to the actual experience of pain relief, which again further enhances the expectations of pain relief and so forth ([33]; Study VII).

Yet, 61–68% of the patients and 83–81% of the acupuncturists were able to correctly identify whether the active or the placebo treatment was given, thereby indicating that the penetrating and non-penetrating needles were not fully blinded (Study VII). Still, for patients, it should be noted that the distribution was not far from 50/50. The experience of de qi appeared to be the main factor leading to the correct treatment identification and thereby breaking of the blinding. The circumstance that the penetrating needle gives a sensation of the needle and may elicit de qi makes it resemble an active placebo (i.e. eliciting adverse events similar to the active treatment). The degree of blinding in this acupuncture study is in line with the degree of blinding in pharmacological studies involving active placebos [134]. Yet, the employment of active placebos does not seem to solve the problem of unintentional blinding, and therefore it may be helpful to think of new ways of accounting for patients’ perception of the treatment and for the contribution of placebo factors to the overall treatment outcome.

4.3.2 Additional and/or alternative ways of accounting for perceived treatment

A previous study of acupuncture has shown that the perception of treatment allocation (active or placebo) influences pain levels to a higher extent than the actual treatment allocation [131]. Thus, it is relevant to analyze the data not only according to actual treatment allocation but also according to perceived treatment allocation (Study VII).

In the actual treatment allocation, there was a large effect of placebo acupuncture over no treatment, but there was not an effect of active acupuncture over placebo acupuncture. Yet, when analyzing the data according to perceived treatment allocation, there was a significant effect of perceived active acupuncture over perceived placebo acupuncture as well as an effect of perceived placebo acupuncture over no treatment. Thus, the patients’ perception of the treatment greatly influences the treatment outcome, in so far as active acupuncture only had an effect if the patients believed that they were receiving the active treatment. These findings are in accordance with previous acupuncture studies of pain and surgical studies of patients with Parkinson’s disease [131], [132], and they corroborate these findings by showing that the effects remain after the inclusion of a no-treatment condition. Interestingly, the perceived treatment allocation also seemed to influence the temporal development of the pain levels. Patients who believed that they received active acupuncture experienced significantly decreased pain intensity and pain unpleasantness over time, whereas patients who believed that they received placebo acupuncture experienced increased pain unpleasantness over time. This finding is consistent with surgical studies showing that the effect of the perceived treatment allocation may last up to 1 year after the surgical intervention [132]. Thus, in contrast to previous comprehensions of the placebo response as a short-lasting effect [135], recent studies indicate that the placebo response may be long-lasting and potentially increasing over time [136], [137]. Hence, in order to fully understand the results of a study, it may be helpful to directly ask patients about perceived treatment allocation and to take this information into consideration in the data analysis [17], [37], [131], [132]. In this manner, it may be possible to get an impression of the extent to which unblinding and the placebo component of a treatment may influence the outcome of a study.

4.3.3 Discussion of how unblinding and perceived treatment may influence test results

As outlined above, it is difficult to avoid unintentional unblinding in pharmacological and non-pharmacological studies, even under optimized blinding conditions and even when active placebos are used ([133], [138]; Study VIII). Unintentional unblinding is likely to influence the results. As illustrated by the acupuncture studies, patients who believe that they have received active acupuncture experience decreased pain levels over time, whereas patients who believe that they have received placebo acupuncture experience increased pain unpleasantness over time. In this manner, patients’ perception of which treatment they have received may influence the results independently of the active treatment being administered, thereby potentially leading to incorrect conclusions about the effectiveness of the active treatment. Yet, the influence of unintentional unblinding appears to be complex. In both the acupuncture study and in similar pharmacological studies, there was no effect of the active treatment, although the study was not fully blinded. Thus, it is important to carefully investigate this topic further. The outlined studies indicate that it may not be sufficient to optimize blinding and placebo conditions in order to improve the test of treatments; it may be essential to directly ask patients about their perception of the treatment. Just as placebo effects can be investigated without inactive placebo agents simply through manipulation of patients’ perception of the treatment (as seen in the open-hidden design; [6]], [31], [43]), the contribution of placebo factors to the overall treatment outcome may also be accounted for by tapping into patients’ perception of the treatment [17], [37].

5 Discussion

The magnitude of placebo and nocebo effects is large and highly variable and placebo effects exist across chronic pain conditions with varying degree of known etiology as well as across pharmacological and non-pharmacological treatments. Importantly, patients’ perception of the treatment, the relationship with the healthcare provider, the verbal suggestions given for pain relief, and expected pain levels appear to contribute to the effects across the studies. Hence, based on this knowledge, it was possible to make approximations of expectations to predict the magnitude of placebo response in RCTs. Also, it was shown that by directly asking patients about perceived treatment and expectations toward treatment effect, it is possible to assess to which extent blinding has been obtained, and how patients’ perception of the treatment influences the outcome of the study, and thereby the conclusions that can be drawn about the efficacy of the treatment. Therefore, the approach of tapping into or directly asking patients about their perceptions and expectations toward a treatment, along with the account of the natural history of pain, has the potential to improve the information that can be obtained in RCTs.

5.1 Discussion of whether insights from placebo and nocebo mechanism studies can improve RCTs

The placebo mechanism literature illustrates that placebo effects are highly variable and largely influenced by patients’ perceptions of and expectations toward the treatment. The finding that approximations of patients’ expectations predict the magnitude of the placebo response in RCTs illustrates that insights from placebo and nocebo mechanisms studies may improve our understanding of some of the challenges that the RCT is facing. In future trials it would be helpful not only to make approximations of expectations, retrospectively, but to directly ask patients, prospectively, about placebo-related factors. Hence, based on the presented studies it is recommended to ask patients “Which treatment do you believe that you have received? (active, placebo)” and “What do you expect your pain levels to be (VAS)?” as well as to include a no-treatment control condition. This approach is cost-efficient, it is simple to interface with the current RCT procedures, and it is ecologically valid. This proposal is furthermore in agreement with recent recommendations in Lancet Neurology and British Medical Journal [17], [37], highlighting the need to assess patients expectations to a higher extent in clinical trials, potentially randomize patients according to their baseline attitude toward the treatment and test expectations once the treatment is on the market [17].

The outlined approach could help improve the RCT in three of the areas that are currently facing problems: (1) “What is the placebo condition controlling for?” The placebo condition controls for confounding factors related to the active treatment but as no distinction is made between factors related to administration of the inert agent (e.g. healthcare provider-patient relationship, patients’ expectations toward treatment efficacy) or for factors relating to the disease or the design of the study (e.g. spontaneous remission, regression to the mean), it is hard to know if the increase in the placebo response reflects the administration of placebo or changes in the disease [57], [58], (2) “How blind is double- blind?” Although most studies are set-up to be double-blind and guidelines recommend reporting the success of blinding [139], [140], only few trials actually assess to what extent blinding has been obtained [141], [142], [143] although it is well-known that patients and healthcare providers often correctly identify treatment allocation based on adverse events even in studies employing so-called active placebos [134], [144] and (3) “Are the drug response and the placebo response independent?”. Inherent to the RCT is the assumption that the drug effect and the placebo response is additive. However, findings from meta-analyses and experimental studies have questioned this assumption [32], [34].

The outlined approach could help overcome these three obstacles in the following manner. First, by including a no-treatment condition it may be possible to understand to what extent apparent changes in the placebo response are due to the administration of the placebo agent and to what extent they are due to regression to the mean and spontaneous fluctuations in the levels of pain (Studies IV, VI, VII, [6]], [18], [37], [57]). Such a change could improve the understanding of what the placebo condition controls for and thereby potentially advance the discussion of, for example, the apparently increased placebo response in RCTs.

Second, by directly asking patients which treatment they believe they have received, it may be possible to assess if unblinding has occurred and directly test how this may have influenced the results, and thereby the conclusions that can be drawn from the trial (Study VII and VIII, [17], [131], [132], [139]). Such a step would greatly improve the validity of the trial.

Third, by directly asking patients about their expected pain levels and emotional feelings, it may be possible to assess to which extent expected pain levels contribute not only to the pain relief following placebo administration but also to the pain relief following administration of the active treatment ([17], [106], [107]; Studies IV, VI, VII). In fact, if ratings of patients’ perception, expected pain levels, and actual pain levels are obtained before the treatment, it may be possible to accurately predict post-treatment pain levels and then calculate the projected change scores [15], [17], [37], [56]], [147]. By using this approach, it may be possible to deduce the placebo component of active and inert placebo treatments and thereby estimate the effect of the drug more precisely. This could help get a better understanding of the relationship between the placebo response and the drug response, and thereby assay sensitivity. The scales to obtain these measures are well validated. The approach is cost-efficient, it is simple to interface with the current RCT procedures, and it is ecologically valid.

5.2 Concluding remarks and future directions

Thus, the knowledge from the placebo and nocebo mechanism studies presented in this short version of a doctoral thesis constitutes a new approach toward accounting for the placebo component in RCTs. Instead of trying to predict the magnitude of the placebo response via stable factors, it seems useful to tap into the factors that contribute to the variability in the placebo response such as patients’ perceptions and expectations toward the treatment. Also, instead of trying to minimize the placebo component of a treatment, which has proven to be difficult, it is recommended to try to account for the variability of the placebo component and to understand how this may contribute to the effect of the placebo treatment, the active treatment, and the overall outcome of the trial. This approach could constitute an additional and/or alternative way of accounting for the placebo component of a trial, which has the potential to overcome, for example, ethical concerns in relation to placebo tests that involve inactive treatments or procedures. So far, this approach has been tested in retrospective studies of pharmacological medical treatments. In future trials it will be important to conduct prospective studies in relation to pharmacological and non-pharmacological treatments to further test the utility of this approach.

Also, it seems to be in the best interest of evidence-based medicine to begin to report, for example, the success of blinding to a higher extent, as already recommended by guidelines. In addition, it would seem helpful to gain more knowledge of the contribution of placebo factors to non-pharmacological treatments such as acupuncture and surgery in order to balance ethical concerns of not exposing patients to sham treatments with the scientific and ethical concern of only offering treatments, and in the case of surgery often highly invasive procedures, with a documented effect beyond the placebo effect.

Furthermore, the knowledge of how patients’ perceptions and expectations toward treatments contribute to the efficacy of the treatment may not only help improve the scientific basis of treatment, but also help improve clinical practice. As illustrated in the open-hidden design, the overall outcome of a treatment can be optimized by focusing on patients’ perception of the treatment. The hidden administration represents the effect of the pharmacological agent, and the open administration represents that the overall treatment can be optimized by focusing on patients’ perception of the treatment. The more specific knowledge clinicians have as to how patients’ perceptions and expectations influence treatment outcome, the easier it is for clinicians to optimize these factors in an ethically appropriate manner, thereby improving the overall treatment outcome for the benefit of patients.


*Corresponding author: Lene Vase,PhD, DMSc, Department of Psychology and Behavioural Sciences, Aarhus University, Bartholins Allé 11, Building 1350, DK-8000 Aarhus C, Denmark, Phone: +45 87165828, Fax: +45 87150201, Institutional URL: http://psy.au.dk/en/

  1. Author’s statements

  2. Research funding: None declared.

  3. Conflicts of interest: The author declares no competing interest for this work.

  4. Informed consent: Not applicable.

  5. Ethical approval: Not applicable.

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Article note

This review is a short version of Lene Vase’s doctoral dissertation “Can insights from placebo and nocebo mechanism studies improve the randomized controlled trial?” which was defended on the 23rd of March 2018 (see Appendix).


Received: 2019-12-19
Revised: 2020-03-06
Published Online: 2020-06-30
Published in Print: 2020-07-28

©2020 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

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