KNOWLEDGE / Publication / POST
August 7, 2016
Abstract:

Scientific Poster Publication made on March 2016 at the American Pain Society Conference, Austin (USA).

In analgesia randomized clinical trials (RCTs), the magnitude of the placebo response tends to increase with the year of trial completion, including in neuropathic pain trials. This placebo response phenomenon has a negative influence when testing the statistically significant superiority of active compounds compared to placebo.

In chronic pain, meta-analyses have already highlighted several clinical and demographic parameters influencing placebo response in RCTs, such as pain intensity, age, sex, pain duration and study design as well as the geographical location. On the other hand, mechanistic trials investigating properties of analgesic placebo had explored psychological predictors of placebo response. Unfortunately, those correlations between psychological traits and placebo response were mainly studied in healthy volunteers.

The main objective of this pilot study was to investigate the relationship between patient’s characteristics and the placebo response. Forty-one patients with peripheral neuropathic pain (PNP) were enrolled and were blindly given a placebo in addition to their regular analgesic treatment during 4 weeks. The individual patient’s characteristics were collected: medical and disease history, pain evaluation and personality traits using validated scales. The placebo response was determined with the average pain score (APS, 11 numeric scale ranging from 0 (no pain) to 10 (pain as bad as you can imagine) daily collected all along the study.

The mean APS at baseline was 5.3. In 12 patients, the APS score decreased by more than 20%, these patients were considered as placebo responders. Univariate as well as multivariate analysis found characteristics significantly correlated with the placebo response. Interestingly, those characteristics include demography, clinical history and psychological traits. Moreover, their combination in a multivariate predictive model was able to identify individual patient as placebo responders, with 80% accuracy. This make a step toward the characterization and the prediction of the placebo response, a major confounding factor, in RTCs.

Type:
Scientific Poster
Authors:
Alvaro Pereira, PHD; Christian Dualé, MD PHD; Frédéric Clermont, PHD, Pierre Gramme, MS; Samuel Branders, PHD; Chantal Gossuin, PHARMD; Dominique Demolle, PHD
Date:
March 1, 2016
Conference:
American Pain Society Conference
File:

Authors

Senior Project Leader

Related content

Publication

Correcting For The Individual Patient Regression To The Mean Effect

Often, the primary endpoint of RCTs is defined as a change from baseline of a continuous outcome. In…

Type: Scientific Poster
Authors: Samuel Branders, PhD; Guillaume Bernard, PhD; Alvaro Pereira, PhD
Conference: American Society for Clinical Pharmacology and Therapeutics
Read More
Publication

Do Environmental Parameters Influence The Prediction Of The Placebo Response?

This proof-of-concept study on peripheral neuropathic pain patients investigates the potential influence of the investigator on the placebo…

Read More
Publication

Bayesian Modeling Of The Placebo Response In Neuropathic Pain

In analgesia randomized clinical trials (RCTs), the magnitude and the variability of the placebo response have a negative…

Type: Scientific Poster
Authors: Samuel Branders, PhD; Alvaro Pereira, PhD; Frederic Clermont, PhD; Chantal Gossuin; Dominique Demolle, PhD
Conference: Promoting Statistical Insight Conference
Read More

Understand patient differences in your next clinical trial

Increase clinical trial success rates and get new therapies to patients faster. Tell us about your clinical trial below and we'll be in touch.

"*" indicates required fields

This field is for validation purposes and should be left unchanged.