Literature DB >> 27755279

Open-label placebo treatment in chronic low back pain: a randomized controlled trial.

Cláudia Carvalho1, Joaquim Machado Caetano2, Lidia Cunha3, Paula Rebouta3, Ted J Kaptchuk4, Irving Kirsch4.   

Abstract

This randomized controlled trial was performed to investigate whether placebo effects in chronic low back pain could be harnessed ethically by adding open-label placebo (OLP) treatment to treatment as usual (TAU) for 3 weeks. Pain severity was assessed on three 0- to 10-point Numeric Rating Scales, scoring maximum pain, minimum pain, and usual pain, and a composite, primary outcome, total pain score. Our other primary outcome was back-related dysfunction, assessed on the Roland-Morris Disability Questionnaire. In an exploratory follow-up, participants on TAU received placebo pills for 3 additional weeks. We randomized 97 adults reporting persistent low back pain for more than 3 months' duration and diagnosed by a board-certified pain specialist. Eighty-three adults completed the trial. Compared to TAU, OLP elicited greater pain reduction on each of the three 0- to 10-point Numeric Rating Scales and on the 0- to 10-point composite pain scale (P < 0.001), with moderate to large effect sizes. Pain reduction on the composite Numeric Rating Scales was 1.5 (95% confidence interval: 1.0-2.0) in the OLP group and 0.2 (-0.3 to 0.8) in the TAU group. Open-label placebo treatment also reduced disability compared to TAU (P < 0.001), with a large effect size. Improvement in disability scores was 2.9 (1.7-4.0) in the OLP group and 0.0 (-1.1 to 1.2) in the TAU group. After being switched to OLP, the TAU group showed significant reductions in both pain (1.5, 0.8-2.3) and disability (3.4, 2.2-4.5). Our findings suggest that OLP pills presented in a positive context may be helpful in chronic low back pain.

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Year:  2016        PMID: 27755279      PMCID: PMC5113234          DOI: 10.1097/j.pain.0000000000000700

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   7.926


1. Introduction

Low back pain (LBP) causes more disability than any other medical condition worldwide.[2,31] It is the most common occupational disorder globally[30] and, in the United States, is ranked third among all diseases by disability-adjusted life-years.[24] Researchers and clinicians have identified a pressing need for innovative treatments and management tools.[11] Recent studies have demonstrated that some commonly prescribed front-line therapies for LBP are actually not superior to placebo controls in double-blind randomized clinical trials (RCTs)[22,33] or are of only marginal increased efficacy.[26] In themselves, placebo responses in trials for LBP can be large and clinically significant.[5,10] Undoubtedly, some of these improvements are due to normal waxing and waning of symptoms and regression to the mean.[27] Recent evidence suggests that beyond such spontaneous improvement, a significant percentage of these responses are due to placebo effects: ie, the psychosocial effects of the therapeutic encounter, including its interactions, rituals, and symbols.[18] Administrating fake pills to harness placebo effects poses an ethical conundrum for physicians in clinical practice due to the widespread belief that deception is necessary for placebo pills to work (eg, pretending sugar pills are drugs or, more commonly, giving genuine medications that have no known effect on the condition).[29] However, 4 studies have directly tested the effect of an open-label placebo (OLP) prescription, and all indicated that patients reported benefits after taking pills presented honestly as placebos. Three were small pilot studies.[19,25,28] The fourth was a controlled trial in irritable bowel syndrome and showed significant, clinically meaningful benefits over no-treatment controls.[17] The received wisdom is that clinical administration of a placebo requires deception (or double-blind conditions) to be effective. How is it that a placebo treatment is able to produce effects even when the participants know that the pill is inert? One possibility is that the positive rationale with which the placebo was presented was convincing enough to allow participants to suspend their disbelief.[21] Participation in the study and then in the follow-up for TAU participants implies a belief or hope that the treatment might be helpful. Engendering hope when participants feel hopeless about their condition can be therapeutic.[8] Although placebo analgesia has been associated with expectancy,[21] it is possible that pill-taking, including bodily sensations such as twisting bottle tops and swallowing, can produce associations of placebo analgesia independent of conscious expectancies.[1] Consistent with that hypothesis, recent evidence suggests that nonconscious processes actively contribute to placebo responses.[15,16] It is also possible that spontaneous fluctuations in pain might be interpreted as evidence that the placebo is working, thereby strengthening expectations of relief and setting in motion a benign cycle between expectancy and change.[20] The goal of this study was to investigate whether adding OLP to treatment as usual (TAU) could benefit patients with chronic low back pain (cLBP) compared to TAU that controlled for additional spontaneous improvement, regression to the mean and the patient-provider relationships.

2. Methods

2.1. Study design

Between November 2013 and December 2015, we conducted a 3-week RCT comparing current treatment plus OLP to current treatment alone (TAU), in an outpatient pain unit of a general public hospital in Lisbon, Portugal. As a retention device, we offered participants in the TAU group the opportunity to take placebo pills for 3 weeks at the conclusion of the main study. We followed these participants as an exploratory secondary outcome. Written informed consent was obtained from each participant before participation in the study. The Comissão de Ética do Centro Hospitalar de Lisboa Ocidental (Western Lisbon Hospital Centre's Ethics Committee) approved the design and informed consent.

2.2. Study population

Participants were recruited from advertisements for “a novel mind–body clinical study of chronic low back pain” in flyers, posters, Facebook posts, magazine advertising, and referrals from health care professionals. Participants were included if they were ≥18 years old and had persistent lower back pain for more than 3 months' duration. Diagnosis was confirmed by a nurse practitioner (P.R.) and a board-certified pain specialist (L.C.). Participants were excluded if they were medicated with opioids in the prior 6 months or had a history of refusing to take oral medication. Because the study was a proof-of-concept, we thought that inclusion of these subpopulations might render our goal more difficult. To reduce potential heterogeneity from different causes of pain, we excluded patients with cancer, fractures, infections, prior lower back surgery, and disk degeneration due to ageing or trauma. We also excluded conditions that make the treatment difficult (eg, paralysis, psychosis) and other conditions that might confound treatment effects or interpretation of results (eg, severe fibromyalgia, rheumatoid arthritis, concurrent care from other providers). Any surgery within the past 30 days, pregnancy, breastfeeding, concurrent legal issues, and participation in another clinical study were also excluding factors. Participants were allowed to continue their cLBP medications (eg, paracetamol, nonsteroidal anti-inflammatory drugs [NSAIDs], etc) as long as they agreed to not change their medication routine or dosage during the trial, nor make any major life-style changes (eg, starting a new diet or changing their exercise pattern) during the study.

2.3. Intervention

The principal investigator (PI) (C.C.) screened telephone and e-mail inquiries and told potential enrollees that participants would be enrolled in a clinical trial to test a novel mind–body treatment approach for cLBP. During screening, the PI checked for inclusion and exclusion criteria, after which the first face-to-face appointment at the pain unit was scheduled. Before randomization, all participants first met a registered nurse practitioner (P.R.) for a medical history examination and then with a board-certified pain specialist (L.C.). Participants were then informed by the PI that if they agreed to participate in the study they would be randomized to take placebo pills (OLP) or to a treatment-as-usual (TAU) group for 3 weeks and that the latter would be offered the opportunity to take the placebo pills after the first 3 weeks. We offered this opportunity to the TAU group so that they would not be disappointed in not receiving the intervention and perhaps produce nocebo effects. The PI explained that the placebo pill was an inactive substance, like a flour pill, that contained no active medication in it. After informed consent, all participants were asked if they had heard of the “placebo effect” and explained in an approximately 15-minute a priori script, adopted from an earlier OLP study,[18] the following “4 discussion points”: (1) the placebo effect can be powerful, (2) the body automatically can respond to taking placebo pills like Pavlov dogs who salivated when they heard a bell, (3) a positive attitude can be helpful but is not necessary, and (4) taking the pills faithfully for the 21 days is critical. All participants were also shown a video clip (1 minute 25 seconds) of a television news report, in which participants in an OLP trial of irritable bowel syndrome were interviewed (excerpted from: http://www.nbcnews.com/video/nightly-news/40787382#40787382). After these interactions, a sequentially numbered, opaque, sealed randomization envelope that contained treatment assignment was opened. Up to this point, the participant–provider interaction—including delivering the positive rationale and the explanation of the importance of both groups—was the same for all participants. Participants randomized to the OLP group were given a typical prescribed medicine bottle of placebo pills with a label clearly marked “placebo pills” and “take 2 pills twice a day.” The placebo pills were Swedish Orange gelatin capsules filled with microcrystalline cellulose, a common inert excipient for pharmaceuticals (Bial, Porto, Portugal). Participants in TAU were reminded of the importance of the control group and of the opportunity to receive placebo pills after the first 3 weeks. The midpoint (day 11) visit was brief (approximately 10-15 minutes) and included an assessment administered by the registered nurse, who was blind to treatment assignment. This was followed by a brief conversation with the PI, who reminded participants receiving placebo pills about the 4 discussion points and reminded participants in the TAU arm that they could start the placebo pills at the end of the 3 weeks and thanked them for helping make a successful study. All interactions were in a context of a warm supportive participant–provider relationship.

2.4. Randomization

Randomization was prepared in advance by a research assistant using a computerized program (“Research Randomizer”) and then inserted in a numbered, opaque, sealed envelope. Randomization was revealed to the PI and the participant during the first visit, after discussion of the 4 points. A registered nurse (P.R.) blinded to treatment assignment conducted all assessments.

2.5. Outcome assessments

During baseline interviews, we obtained data on participant demographics, including age, gender, years of education, employment status, current pain medication, and complementary medicine usage (Table 1). Outcomes were measured at baseline and after 11 and 21 days using paper and pencil questionnaires. Participants on the TAU arm who agreed to participate in a 3-week OLP follow-up responded again to the questionnaires 21 days later. There was no midterm visit during the 3-week open-label follow-up.
Table 1

Baseline characteristics of eligible participants.

Baseline characteristics of eligible participants. Following validated procedures in research on cLBP, our a priori primary outcomes were a change from baseline at 3 weeks in lower back pain intensity during the prior week and dysfunction related to lower back pain. Pain intensity was assessed by asking participants to rate their pain using 3 standard Numeric Rating Scales, ranging from 0 (“no pain”) to 10 (“worst pain imaginable”), scoring maximum pain, minimum pain, and usual pain. The mean of the 3 measures was our primary pain outcome. Our other primary outcome was back-related dysfunction, which was measured using the validated Portuguese adaptation of the Roland–Morris Disability Questionnaire.[23] The Roland–Morris Disability Questionnaire includes 24 yes or no statements about difficulties in daily activities, such as difficulties in getting dressed and climbing stairs. The overall score is a sum of positive responses, ranging from 0 to 24, with a higher score signifying more disability. Our secondary measure was bothersomeness, assessed by asking participants to rate how bothersome their pain has been during the past week on a scale of 0 (“not at all bothersome”) to 10 (“extremely bothersome”).[6] Given the novel nature of the study, after outcome data were gathered at the completion of the 3-week trial, participants were interviewed briefly by the PI and asked the following questions. Participants in the placebo arm were asked: (1) What do you think about the idea of taking placebo pills? (2) Did you expect the placebo to work or were you skeptical? (3) What did you think was in the placebo pills? (4) Any further comments/what have you learned with your participation in this study? Participants in the TAU group were asked: (1) Were you disappointed to be in the treatment-as-usual group? (2) What did you like most and least about the study? (3) Any further comments?

2.6. Statistical analysis

This trial was designed prospectively to assess and compare differences between OLP + TAU treatment and TAU. We calculated that we need 96 participants to provide 90% power to detect a 1-point difference between group changes in the pain scores. We used analysis of covariance (ANCOVA) to test these differences on all outcomes, with pretreatment scores as the covariates. The effect of an independent variable in an ANCOVA with pretreatment scores as the covariate is the same, regardless of whether posttreatment scores or change scores are the dependent variable. For ease of interpretation, we present adjusted mean change scores rather than adjusted mean posttreatment scores. To adjust for dropouts, we used a last value carried forward approach, which implicitly assumes no change from baseline for participants who dropped out. Changes in pain, disability, and bothersomeness during the 3-week follow-up period among participants in the TAU group were analyzed via paired sample t tests.

3. Results

We enrolled participants from November 2013 and December 2015. Figure 1 shows details. A total of 239 people completed telephone and/or e-mail screening, 118 of whom were not eligible or refused to participate, leaving 121 people who attended the enrolment visit. During this visit, 24 people were deemed ineligible or refused to participate. We randomized the remaining 97 participants to OLP or TAU. Seven participants in each group (OLP/TAU) were later found to be ineligible (opioid use 4/3, inability to take medications orally 2/1, changed medications 1/2, pain related to trauma 0/1) and were excluded from the analysis, leaving a sample of 83 participants. Three participants in the OLP group and 4 in the TAU group discontinued at midpoint. We replaced missing data from dropouts using the last observation carried forward method. At baseline, the 2 groups were well balanced with regard to demographics, medication, usual pain, maximum pain, disability, and bothersomeness of the pain (Table 1). Despite proper randomization, the TAU group reported lower baseline minimum pain scores than the OLP group (difference on the 10-point scale 1.25, 95% confidence interval: 0.41-2.10). There were no other significant differences between the 2 groups at baseline. Our data analysis plan included the use of analysis of covariance, which adjusts for baseline differences between individuals and thus provides a statistical control for group differences when randomization does not succeed in producing completely balanced groups on baseline measures.
Figure 1.

Flow of participants through study.

Flow of participants through study.

3.1. Outcomes at 3 weeks

Table 2 and Figure 2 show the mean change in outcomes at the end of the 3-week treatment period, adjusted for baseline scores. The 3 pain scores were significantly correlated at baseline and the 3-week endpoint and composite pain scores showed adequate reliability (Cronbach alpha = 0.70 and 0.91 at baseline and endpoint, respectively). Thus, the composite score provides the most reliable measure of pain severity and pain reduction. The ANCOVA on the composite score revealed that compared to TAU, OLP elicited greater pain reduction on the composite pain measure (P < 0.001). Open-label placebo also reduced disability compared to TAU (P < 0.001), with a large effect size. Differences on bothersomeness were not significant (P = 0.195). The ANCOVA also revealed that compared to TAU, OLP elicited significantly greater pain reduction on each of the 3 pain rating scales (P = 0.008, 0.018, and 0.040 for minimum, usual, and maximum pain, respectively). Effect sizes ranged from medium (g = 0.46) to large (g = 0.76).
Table 2

Adjusted mean (SD) improvement and percent changes on outcome measures at 3-week endpoint, with effect sizes and analysis of covariance summary statistics.

Figure 2.

Outcomes by treatment group at 21-day endpoint. (A) Mean adjusted change scores on the composite pain measure. (B) Mean adjusted change scores on the 24-item Roland–Morris Disability Questionnaire. Error bars represent standard errors of the mean.

Adjusted mean (SD) improvement and percent changes on outcome measures at 3-week endpoint, with effect sizes and analysis of covariance summary statistics. Outcomes by treatment group at 21-day endpoint. (A) Mean adjusted change scores on the composite pain measure. (B) Mean adjusted change scores on the 24-item Roland–Morris Disability Questionnaire. Error bars represent standard errors of the mean. A reduction in pain of 27.9% has been found to correspond to clinical ratings of “much improved” and a 30% reduction has been recommended as an indication clinical significance.[7,9] There was a clinically significant 30% reduction in both usual and maximum pain in the placebo group compared to reductions of 9% and 16% in usual and maximum pain, respectively, in the continued usual treatment group. Open-label placebo reduced minimum pain by 16% compared to an increase in pain of 25% with TAU. There was also a 29% reduction in pain-related disability in placebo group compared to 0.02% in the TAU arm. With 7 dropouts in a total of 83 participants, there is a concern as to whether the use of LOCF might have impacted the results. To address this concern, we conducted a completer analysis. The results of the completer analysis were consistent with those of the LOCF analysis for all variables (minimum pain, P = 0.004; usual pain, P = 0.018; maximum pain, P = 0.017; composite pain, P = 0.001; disability, P = 0.001; and bothersomeness, P = 0.140). Adverse events were almost nonexistent. At midpoint, 1 OLP participant reported feeling the discomfort she had previously felt on NSAIDs during the first 2 days, but it then disappeared. It is unclear what she meant. At endpoint, 1 participant reported a rash and 1 participant reported an increase in pain when she forgot to take the pills for a couple of days, but said the pain disappeared as soon as she resumed taking pills. The detailed results of the qualitative checkout questionnaire will be reported elsewhere. Important findings include that participants understood they were taking placebos. Of the 33 OLP participants who responded to the question on the contents of the pills, 30 reported that “it was not an active substance” (eg, “sugar,” “flour,” nothing in it,” or “what you said it would be”). Three participants reported that the pills were “pain killers” (eg, “it worked so well that it has to contain something”). In response to the question, whether the participants initially thought the treatment would work or were skeptical, of the 30 participants in the OLP, 21 said “skeptical” or “a little,” 9 said they believed it would work. In the TAU arm, most respondents were not disappointed about assignment “because I knew I will have it later.”

3.2. Outcomes of TAU participants who took placebo pills after the main study

At their last treatment session, participants in the TAU group were invited to participate in a follow-up continuation, during which they would receive OLP. Of the 38 TAU participants who completed the main study, 7 declined follow-up OLP, leaving 31 participants entering the follow-up phase. Two of these participants discontinued after entering the follow-up phase. We replaced missing data from these 2 dropouts using the last observation carried forward method. One participant neglected to rate minimum pain at the end of the follow-up. Thus, analyses of minimum pain and composite pain intensity included 30 participants. Table 3 reports the mean change in outcomes from the end of the 3-week treatment period to the end of the 3-week follow-up. After being given OLP for 3 weeks, participants in TAU who had entered the follow-up showed significant pain relief on all outcome measures (P ≤ 0.001 for each), with moderate to large effect sizes. Pain reductions ranged from 1.3 to 1.7 on a 0 to 10 scale. Percent pain reduction ranged from 29% for maximum pain to 46% for minimum pain. Back pain–related disability decreased by 40% and pain bothersomeness decreased by 34%.
Table 3

Mean (SD) improvement, percent change, and paired sample t test statistics in the TAU group after 3-week treatment with OLP during the follow-up period.

Mean (SD) improvement, percent change, and paired sample t test statistics in the TAU group after 3-week treatment with OLP during the follow-up period.

4. Discussion

The study is the first to demonstrate potential clinically significant benefits of OLP treatment in cLBP. We found that adding OLP to TAU resulted in significantly greater reductions in cLBP and pain-related disability than TAU alone (Table 2). The amount of additional pain reduction produced by OLP was approximately 30% of baseline pain and disability ratings. Almost 90% of the participants in this trial were taking pain medication, primarily NSAIDs, before and during the trial. Although NSAIDs are reported to reduce LBP more than double-blind placebo, the difference amounts to less than 1 point on a 0 to 10 pain scale.[26] In this study, OLP enhanced pain reduction by 1.49 points on a 0 to 10 scale compared to a 0.24 point change with continued standard treatment without the added placebo. This was an added benefit beyond the effect of continued NSAID and/or other ongoing treatment. These data suggest that patients with cLBP could benefit from the addition OLP to their current treatment regimen. Our study supports earlier studies that suggest a benefit for OLP treatment.[17,19,25,28] Our findings support the Institute of Medicine position that “placebo conceivably be a form of treatment of pain, especially in light of the shortcoming of other modalities or benefits they bring in their right.”[14] Our data suggest that OLP can be a safe and effective adjunct to treatment for cLBP. Only 6 participants who attended an enrollment visit refused participation. Only 3 participants in the open-label group discontinued treatment, and only 2 participants in the TAU group discontinued after beginning OLP treatment during the follow-up. In contrast, 17 participants requested prescriptions for placebo at the end of their participation in the study.

4.1. Limitations

This RCT has several limitations. Most importantly, our sample size was relatively small and the trial duration was too short to obtain estimates of long-term effects. Replication with a larger sample size and a longer follow-up is required before our “proof-of-principle” study allows for any clinical recommendations. Importantly, it is worth noting that large survey[13] and focus group research[3] indicates that participants are amenable to accepting OLP treatments if honestly described and endorsed as a possible benefit by their physicians. Furthermore, given that OLP treatment involves transparency and informed consent, the ethics of open-label is unproblematic.[4] Our outcome measures were subjective rather than objective. Self-appraised outcomes raise the issue of report bias (eg, wishing to please the experimenter),[12] and this might be exacerbated in a nonblind design. However, self-reported pain and disability are the standard outcomes assessed in clinical trials of cLBP. We deliberately chose cLBP for this study just because evidence suggests that placebo effects are clinically critical and significant in conditions based on subjective self-assessment.[18] Furthermore, despite not having objective markers of changes in any pathophysiology, our results are supported by more than 40 neuroimaging studies of pain conditions that suggests that placebo analgesia is, in fact, correlated with objective changes in quantifiable and specific areas of the brain and relevant neurotransmitters.[32] The results of this trial might not be generalizable to all patients with cLBP. As is typical in clinical trials, exclusion criteria limit generalizability. In addition, advertisement of a “novel mind–body clinical study” may have appealed to individuals who have concerns about conventional medicine and/or are drawn to complementary and alternative approaches. We note, however, that 87% of the participants were taking conventional pain medications during the week before the entering the trial, whereas only 14% were using complementary treatments. Also, this form of self-selection bias is present in all clinical trials in which drugs, psychotherapy, or any other form of treatment is advertised.

5. Conclusions

Our data suggest that harnessing placebo effects without deception is possible in the context of a plausible rationale. More research on this possibility is warranted in cLBP and other conditions defined by self-appraisal.

Conflict of interest statement

The authors have no conflicts of interest to declare. The Foundation for the Science of the Therapeutic Encounter (F-STE) supported C. Carvalho with a postdoctoral grant. Bial (Porto, Portugal) provided placebo pills. T. J. Kaptchuk and I. Kirsch were supported by National Center for Complementary and Integrative Health, U.S. National Institutes of Health Grant 2K24 AT004095; T. J. Kaptchuk also received funding from R01 AT008573, R61AT009306, R01AT005280, and PO1 AT006663. I. Kirsch received a grant from F-STE. T. J. Kaptchuk and I. Kirsch contributed equally.
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Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Richard Gosselin; Rebecca Grainger; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jixiang Ma; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  104 in total

1.  Primary care providers' use of and attitudes towards placebos: An exploratory focus group study with US physicians.

Authors:  Michael H Bernstein; Cosima Locher; Sif Stewart-Ferrer; Sarah Buergler; Catherine M DesRoches; Michelle L Dossett; Franklin G Miller; Deborah Grose; Charlotte R Blease
Journal:  Br J Health Psychol       Date:  2020-05-30

2.  The Placebo Effect in Pain Therapies.

Authors:  Luana Colloca
Journal:  Annu Rev Pharmacol Toxicol       Date:  2018-09-14       Impact factor: 13.820

3.  Electromagnetic transduction therapy in non-specific low back pain: A prospective randomised controlled trial.

Authors:  André Krath; Tim Klüter; Martin Stukenberg; Paula Zielhardt; Hans Gollwitzer; Norbert Harrasser; Jörg Hausdorf; Martin Ringeisen; Ludger Gerdesmeyer
Journal:  J Orthop       Date:  2017-06-29

Review 4.  Role of placebo effects in pain and neuropsychiatric disorders.

Authors:  Annabelle M Belcher; Sergi Ferré; Pedro E Martinez; Luana Colloca
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-06-14       Impact factor: 5.067

5.  Open label placebo: can honestly prescribed placebos evoke meaningful therapeutic benefits?

Authors:  Ted J Kaptchuk; Franklin G Miller
Journal:  BMJ       Date:  2018-10-02

6.  Prior Therapeutic Experiences, Not Expectation Ratings, Predict Placebo Effects: An Experimental Study in Chronic Pain and Healthy Participants.

Authors:  Luana Colloca; Titilola Akintola; Nathaniel R Haycock; Maxie Blasini; Sharon Thomas; Jane Phillips; Nicole Corsi; Lieven A Schenk; Yang Wang
Journal:  Psychother Psychosom       Date:  2020-06-03       Impact factor: 17.659

7.  Systems pharmacogenomics - gene, disease, drug and placebo interactions: a case study in COMT.

Authors:  Kathryn T Hall; Joseph Loscalzo; Ted J Kaptchuk
Journal:  Pharmacogenomics       Date:  2019-05       Impact factor: 2.533

Review 8.  The Role of Patient-Practitioner Relationships in Placebo and Nocebo Phenomena.

Authors:  Maxie Blasini; Nathalie Peiris; Thelma Wright; Luana Colloca
Journal:  Int Rev Neurobiol       Date:  2018-08-09       Impact factor: 3.230

Review 9.  Pain Modulation: From Conditioned Pain Modulation to Placebo and Nocebo Effects in Experimental and Clinical Pain.

Authors:  Janie Damien; Luana Colloca; Carmen-Édith Bellei-Rodriguez; Serge Marchand
Journal:  Int Rev Neurobiol       Date:  2018-08-14       Impact factor: 3.230

Review 10.  Clinical Use of Placebo Effects in Patients With Pain Disorders.

Authors:  Regine Klinger; Julia Stuhlreyer; Marie Schwartz; Julia Schmitz; Luana Colloca
Journal:  Int Rev Neurobiol       Date:  2018-08-06       Impact factor: 3.230

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