Placebo effects and neuromodulation for depression: a meta-analysis and evaluation of shared mechanisms

Author(s):  
Matthew J. Burke ◽  
Sara M. Romanella ◽  
Lucia Mencarelli ◽  
Rachel Greben ◽  
Michael D. Fox ◽  
...  
2015 ◽  
Vol 135 (5) ◽  
pp. 1234-1243 ◽  
Author(s):  
Antoinette I.M. van Laarhoven ◽  
Ineke M. van der Sman-Mauriks ◽  
A. Rogier T. Donders ◽  
Mathilde C. Pronk ◽  
Peter C.M. van de Kerkhof ◽  
...  

2018 ◽  
Vol 29 (2) ◽  
pp. 223-232 ◽  
Author(s):  
Thusharika D. Dissanayaka ◽  
Maryam Zoghi ◽  
Michael Farrell ◽  
Gary F. Egan ◽  
Shapour Jaberzadeh

AbstractSham stimulation is used in randomized controlled trials (RCTs) to assess the efficacy of active stimulation and placebo effects. It should mimic the characteristics of active stimulation to achieve blinding integrity. The present study was a systematic review and meta-analysis of the published literature to identify the effects of sham transcranial electrical stimulation (tES) – including anodal and cathodal transcranial direct current stimulation (a-tDCS, c-tDCS), transcranial alternating current stimulation (tACS), transcranial random noise stimulation (tRNS) and transcranial pulsed current stimulation (tPCS) – on corticospinal excitability (CSE), compared to baseline in healthy individuals. Electronic databases – PubMed, CINAHL, Scopus, Science Direct and MEDLINE (Ovid) – were searched for RCTs of tES from 1990 to March 2017. Thirty RCTs were identified. Using a random-effects model, meta-analysis of a-tDCS, c-tDCS, tACS, tRNS and tPCS studies showed statistically non-significant pre-post effects of sham interventions on CSE. This review found evidence for statically non-significant effects of sham tES on CSE.


Author(s):  
Biya Tang ◽  
Kirsten Barnes ◽  
Andrew Geers ◽  
Evan Livesey ◽  
Ben Colagiuri

Abstract Background Choice has been proposed as a method of enhancing placebo effects. However, there have been no attempts to systematically evaluate the magnitude, reliability, and moderators of the influence of choice on the placebo effect. Purpose To estimate the effect size of choice on the placebo effect and identify any moderators of this effect. Methods Web of Science, PsycINFO, EMBASE, and PubMed were systematically searched from inception to May 2021 for studies comparing placebo treatment with any form of choice over its administration (e.g., type, timing) to placebo treatment without choice, on any health-related outcome. Random-effects meta-analysis was then used to estimate the effect size associated with the influence of choice on the placebo effect. Meta-regression was subsequently employed to determine the moderating effect of factors such as type of choice, frequency of choice, and size of the placebo effect without choice. Results Fifteen independent studies (N = 1,506) assessing a range of conditions, including pain, discomfort, sleep difficulty, and anxiety, met inclusion criteria. Meta-analysis revealed that choice did significantly enhance the placebo effect (Hedges’ g = 0.298). Size of the placebo effect without choice was the only reliable moderator of this effect, whereby a greater effect of choice was associated with smaller placebo effects without choice. Conclusions Treatment choice can effectively facilitate the placebo effect, but this effect appears more pronounced in contexts where the placebo effect without choice is weaker. Because most evidence to date is experimental, translational studies are needed to test whether providing choice in clinical scenarios where placebo effects are weaker may help boost the placebo effect and thereby improve patient outcomes.


SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A127-A127
Author(s):  
W Khader ◽  
E Culnan ◽  
K Morales ◽  
J Kloss ◽  
C Baglioni ◽  
...  

2014 ◽  
Vol 989-994 ◽  
pp. 1692-1694
Author(s):  
Zu Yi Chen ◽  
Tai Xiang Zhao

In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and itsapplication in policymaking. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, interactive visual decision tree (IVDT) process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users’ understanding of the algorithm, and give them greater satisfaction with the task.


2021 ◽  
Author(s):  
Patrick J. Owen ◽  
Tobias Saueressig ◽  
Daniel L. Belavy ◽  
Christian A. Than ◽  
Jake Ball ◽  
...  

2018 ◽  
Vol 20 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Michael P. Hengartner ◽  
Martin Plöderl

Antidepressant drugs are the mainstay of depression treatment in both primary and specialized mental health care. However, academic psychiatry holds false beliefs about antidepressants and we expose two of them in this essay. First, recent attitude surveys conducted among psychiatrists and general practitioners have revealed that physicians attribute antidepressants’ effects mostly to the drugs’ pharmacologic action and less so to placebo effects. Second, academic psychiatry maintains that physical dependence to antidepressant drugs does not exist and that “discontinuation symptoms” upon stopping maintenance pharmacotherapy are benign and affect only a small minority of antidepressant users. As we review in this essay, these beliefs are at odds with the scientific literature. The largest and most comprehensive meta-analysis of antidepressant trials conducted to date indicates that 88% of the drugs’ treatment outcome is accounted for by placebo effect. Furthermore, physical dependence appears to be a serious issue, as severe and persistent withdrawal reactions affect up to 50% of antidepressant users according to several studies. Correcting false beliefs prevailing in academic psychiatry is needed and has important implications for psychiatric training, continuing medical education, and practice.


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