ARE SITE DIFFERENCES DRIVING OUTCOMES? THE CENTRAL ROLE OF EXPECTATIONS IN OA RCTS.

June 24, 2025

Purpose Disparities among sites are frequently observed in the results of Randomized Controlled Trials (RCTs).  As a result, adjusting for site effects is a common strategy in RCT analyses to account for these disparities. However, such adjustments introduce additional parameters into the analysis, which can be especially detrimental in Osteoarthritis (OA ), with an average number

Type: Scientific Poster

Date: April 24, 2025

Conference: OARSI 2025

From Chronic to Acute Pain: Evaluating the baseline prognostic covariates in Severe Acute Lower Back Pain

May 15, 2025

The FDA’s 2023 guidance on baseline covariate adjustment highlights the importance of incorporating prognostic covariates into randomized clinical trials (RCTs) efficacy analyses. Adjusting for such covariates can reduce variability in treatment effect estimates, leading to narrower confidence intervals and more powerful hypothesis testing. In line with this guidance, Placebell baseline prognostic covariates were developed for

Type: Scientific Poster

Authors: Samuel Branders, Arthur Ooghe, Jérôme Paul, Dmitri Lissin, Dominique Demolle, Alvaro Pereira

Date: May 1, 2025

Conference: United States Association for the Study of Pain 2025

Predicting drop-out in early-stage Type 1 Diabetes clinical trials to improve retention through Personalized Engagement Strategies

March 27, 2025

Background: Patient non-adherence and drop-out increase the time and cost of clinical trials. A tool that predicts, at baseline, which patients are at risk of dropping out could enhance trial management through personalized engagement strategies. Understanding patient profiles and behaviors is essential for this. Our goal was to develop a machine learning-based model to predict

Type: Scientific Poster

Authors: A. Ooghe, J. Van Rampelbergh, S. Branders, N. Xaborov, J. Paul, D. Demolle, A. Pereira

Date: March 19, 2025

Conference: Advanced Technologies & Treatments for Diabetes 2025

Improving Precision of Clinical Trials Results in T1 Diabetes with Transferrable Prognostic Models

March 27, 2025

Background: In randomized controlled trials (RCTs), assay sensitivity issues can affect both statistical power and the confidence in treatment efficacy estimates. This sensitivity problem is often linked to the role of contextual effects in patient response. While statistical adjustments for prognostic variables can address this, it is impractical to account for all possible covariates. Machine

Type: Scientific Poster

Authors: A. Ooghe, J. Van Rampelbergh, S. Branders, N. Xaborov, J. Paul, D. Demolle, A. Pereira

Date: March 19, 2025

Conference: Advanced Technologies & Treatments for Diabetes 2025

Predicting Patient Drop-Out in Clinical Trials: A First Step Toward Personalized Engagement Strategies

October 30, 2024

Objective: Patient non-adherence and drop-out significantly extend the duration and cost of clinical trials. A predictive tool identifying patients likely to drop out could enhance clinical trial management through targeted and personalized engagement strategies. We aimed to develop such a tool using predictive modeling on data from two studies on schizophrenia and dry eye.  Design:

Type: Scientific Poster

Authors: Samuel Branders, PhD Arthur Ooghe Alvaro Pereira, PhD Dominique Demolle, PhD

Date: November 11, 2024

Conference: CNS Summit

Prediction of the response to repetitive transcranial magnetic stimulation of the motor cortex in peripheral neuropathic pain and validation of a new algorithm

September 25, 2024

Abstract: Motor cortex repetitive transcranial magnetic stimulation (M1-rTMS) induces analgesic effects in neuropathic pain, but not all patients are good responders, and no clinical predictors of the response have been identified. The present study aimed to develop and validate a simple and easy-to-use predictive algorithm for the individual response to M1-rTMS in peripheral neuropathic pain

Type: Scientific Publication

Authors: Attal Nadine; Branders Samuel; Pereira Alvaro; Bouhassira Didier

Date: June 21, 2024

Conference: The Journal of the International Association for the Study of Pain