Literature DB >> 26921852

Response to placebo in clinical epilepsy trials--Old ideas and new insights.

Daniel M Goldenholz1, Shira R Goldenholz2.   

Abstract

Randomized placebo-controlled trials are a mainstay of modern clinical epilepsy research; the success or failure of innovative therapies depends on proving superiority to a placebo. Consequently, understanding what drives response to placebo (including the "placebo effect") may facilitate evaluation of new therapies. In this review, part one will explore observations about placebos specific to epilepsy, including the relatively higher placebo response in children, apparent increase in placebo response over the past several decades, geographic variation in placebo effect, relationship to baseline epilepsy characteristics, influence of nocebo on clinical trials, the possible increase in (SUDEP) in placebo arms of trials, and patterns that placebo responses appear to follow in individual patients. Part two will discuss the principal causes of placebo responses, including regression to the mean, anticipation, classical conditioning, the Hawthorne effect, expectations from symbols, and the natural history of disease. Included in part two will be a brief overview of recent advances using simulations from large datasets that have afforded new insights into causes of epilepsy-related placebo responses. In part three, new developments in study design will be explored, including sequential parallel comparison, two-way enriched design, time to pre-randomization, delayed start, and cohort reduction techniques. Published by Elsevier B.V.

Entities:  

Keywords:  Clinical trial.; Epilepsy; Placebo effect

Mesh:

Year:  2016        PMID: 26921852      PMCID: PMC4828269          DOI: 10.1016/j.eplepsyres.2016.02.002

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  61 in total

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Review 2.  Rates and predictors of long-term seizure freedom after frontal lobe epilepsy surgery: a systematic review and meta-analysis.

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Journal:  J Neurosurg       Date:  2012-02-03       Impact factor: 5.115

3.  Results of treatment changes in patients with apparently drug-resistant chronic epilepsy.

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Authors:  Sylvain Rheims; Emilio Perucca; Michel Cucherat; Philippe Ryvlin
Journal:  Epilepsia       Date:  2011-01-26       Impact factor: 5.864

7.  Placebo Effects in Medicine.

Authors:  Ted J Kaptchuk; Franklin G Miller
Journal:  N Engl J Med       Date:  2015-07-02       Impact factor: 91.245

Review 8.  Characterization of the thalamic-subthalamic circuit involved in the placebo response through single-neuron recording in Parkinson patients.

Authors:  Elisa Frisaldi; Elisa Carlino; Michele Lanotte; Leonardo Lopiano; Fabrizio Benedetti
Journal:  Cortex       Date:  2013-12-24       Impact factor: 4.027

9.  When is a postoperative seizure equivalent to "epilepsy recurrence" after epilepsy surgery?

Authors:  Lara Jehi; Rani Sarkis; William Bingaman; Prakash Kotagal; Imad Najm
Journal:  Epilepsia       Date:  2010-04-02       Impact factor: 5.864

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Authors:  Dieter Schmidt; Knut Stavem
Journal:  Epilepsia       Date:  2009-02-23       Impact factor: 5.864

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  16 in total

1.  Take Two Deep Breaths and Call Me in the Morning.

Authors:  M Scott Perry
Journal:  Epilepsy Curr       Date:  2018 Jul-Aug       Impact factor: 7.500

2.  Cannabidiol and Epilepsy: Sifting, Winnowing and Buzz.

Authors:  Barry E Gidal
Journal:  Epilepsy Curr       Date:  2016 Jul-Aug       Impact factor: 7.500

3.  Does accounting for seizure frequency variability increase clinical trial power?

Authors:  Daniel M Goldenholz; Shira R Goldenholz; Robert Moss; Jacqueline French; Daniel Lowenstein; Ruben Kuzniecky; Sheryl Haut; Sabrina Cristofaro; Kamil Detyniecki; John Hixson; Philippa Karoly; Mark Cook; Alex Strashny; William H Theodore; Carl Pieper
Journal:  Epilepsy Res       Date:  2017-07-25       Impact factor: 3.045

4.  A big data approach to the development of mixed-effects models for seizure count data.

Authors:  Joseph J Tharayil; Sharon Chiang; Robert Moss; John M Stern; William H Theodore; Daniel M Goldenholz
Journal:  Epilepsia       Date:  2017-03-30       Impact factor: 5.864

Review 5.  Dogs as a Natural Animal Model of Epilepsy.

Authors:  Wolfgang Löscher
Journal:  Front Vet Sci       Date:  2022-06-22

6.  Natural variability in seizure frequency: Implications for trials and placebo.

Authors:  Juan Romero; Phil Larimer; Bernard Chang; Shira R Goldenholz; Daniel M Goldenholz
Journal:  Epilepsy Res       Date:  2020-03-06       Impact factor: 3.045

7.  A multi-dataset time-reversal approach to clinical trial placebo response and the relationship to natural variability in epilepsy.

Authors:  Daniel M Goldenholz; Alex Strashny; Mark Cook; Robert Moss; William H Theodore
Journal:  Seizure       Date:  2017-10-23       Impact factor: 3.184

8.  Monte Carlo simulations of randomized clinical trials in epilepsy.

Authors:  Daniel M Goldenholz; Joseph Tharayil; Robert Moss; Evan Myers; William H Theodore
Journal:  Ann Clin Transl Neurol       Date:  2017-05-24       Impact factor: 4.511

9.  Simulating Clinical Trials With and Without Intracranial EEG Data.

Authors:  Daniel M Goldenholz; Joseph J Tharayil; Rubin Kuzniecky; Philippa Karoly; William H Theodore; Mark J Cook
Journal:  Epilepsia Open       Date:  2017-01-18

Review 10.  Incorporating Natural Products, Pharmaceutical Drugs, Self-Care and Digital/Mobile Health Technologies into Molecular-Behavioral Combination Therapies for Chronic Diseases.

Authors:  Grzegorz Bulaj; Margaret M Ahern; Alexis Kuhn; Zachary S Judkins; Randy C Bowen; Yizhe Chen
Journal:  Curr Clin Pharmacol       Date:  2016
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