Statistical design of Path to Prevention platform trial in early neuronal alpha-synuclein disease

The Path to Prevention (P2P) platform trial is a first-in-class, phase 2A, randomized, double-blind, placebo-controlled learning study. Its design expedites the assessment of investigational therapies for the treatment of early-stage Neuronal a-Synuclein Disease (NSD), a biological disease continuum that encompasses and often precedes clinically manifest Parkinson's Disease. P2P is embedded within the Parkinson's Precision Medicine Initiative (PPMI), a robust observational longitudinal cohort study on Parkinson's disease progression and a trial-facilitating enrollment framework. A regimen, comprised of an active investigational therapy and a matched placebo control, evaluates a therapeutic candidate within the P2P perpetual platform framework. Multiple regimens can be enrolled, enabling efficient testing of multiple therapeutics. A two-stage randomization scheme determines regimen sample size with 125 participants assigned to a regimen's active therapy and a variable number to placebo control. The treated follow up period is a minimum of 96 weeks and a maximum of 144 weeks, with the last randomized participant followed for 96 weeks. As a pioneering interventional trial in early-stage NSD, P2P endpoint selection was critically informed by modeling and analysis of available PPMI data. In P2P, regimens will be evaluated for efficacy using two primary endpoints: 1) a biomarker outcome of Dopamine Transporter Single-Photon Emission Computed Tomography (DAT SPECT) imaging measured by the bilateral putamen Specific Binding Ratio (SBR) and 2) a clinical outcome measured by the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part III score. Each endpoint will be assessed separately using a longitudinal Bayesian mixed effects model, which compares the active treatment group to the shared placebo control group. The model uses regimen-specific controls at full weight and dynamically discounts controls from other regimens. Additionally, placebo control estimates are supplemented by non-randomized control data from the PPMI cohort. Clinical trial simulations, informed by longitudinal data from 275 P2P-eligible PPMI study participants (Age 60-81, 35% Female, 65% Male), were conducted to evaluate the design. Each regimen is well-powered to detect a 40% slowing in progression for both the clinical and biomarker primary endpoints when comparing active treatment to randomized control data. Supplementing the control estimation with non-randomized, P2P-eligible registry participant data increases power in the explored scenarios up to 4% for each endpoint. The embedded P2P platform trial is a powerful learning study that leverages statistical efficiencies from the platform trial design and established PPMI infrastructure and is poised to advance treatment development in early-stage NSD.

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Journal
medRxiv
Published
2026-11-06
DOI
https://doi.org/10.64898/2026.11.04.26367306
Primary Topic
Statistical Methods in Clinical Trials
Type
preprint

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preprint

Statistical design of Path to Prevention platform trial in early neuronal alpha-synuclein disease

Michael C. Brumm, Catherine Kopil, Nicola Pavese, Barbara A. Wendelberger et al.
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medRxiv
Statistical Methods in Clinical Trials
preprint

Statistical design of Path to Prevention platform trial in early neuronal alpha-synuclein disease

Michael C. Brumm, Catherine Kopil, Nicola Pavese, Barbara A. Wendelberger, Amy M. Crawford, Seung Ho Choi, Thomas Francis Tropea, Karl D. Kieburtz, Ruth B. Schneider, Frederic S. Goldstein, Tatiana Foroud, Danielle Larson, Dixie J. Ecklund, Tanya Simuni, Andrew D. Siderowf, Caroline M. Tanner, Sohini Chowdhury, David-Erick Lafontant, Craig E Stanley, Maggie McGuire Kuhl, Kimberly Fabrizio, Cora Allen‐Savietta, Christopher S. Coffey, Nijee Luthra, Cornelia Kamp, Kenneth Marek, Tawny Willson
preprint en

Abstract

The Path to Prevention (P2P) platform trial is a first-in-class, phase 2A, randomized, double-blind, placebo-controlled learning study. Its design expedites the assessment of investigational therapies for the treatment of early-stage Neuronal a-Synuclein Disease (NSD), a biological disease continuum that encompasses and often precedes clinically manifest Parkinson's Disease. P2P is embedded within the Parkinson's Precision Medicine Initiative (PPMI), a robust observational longitudinal cohort study on Parkinson's disease progression and a trial-facilitating enrollment framework. A regimen, comprised of an active investigational therapy and a matched placebo control, evaluates a therapeutic candidate within the P2P perpetual platform framework. Multiple regimens can be enrolled, enabling efficient testing of multiple therapeutics. A two-stage randomization scheme determines regimen sample size with 125 participants assigned to a regimen's active therapy and a variable number to placebo control. The treated follow up period is a minimum of 96 weeks and a maximum of 144 weeks, with the last randomized participant followed for 96 weeks. As a pioneering interventional trial in early-stage NSD, P2P endpoint selection was critically informed by modeling and analysis of available PPMI data. In P2P, regimens will be evaluated for efficacy using two primary endpoints: 1) a biomarker outcome of Dopamine Transporter Single-Photon Emission Computed Tomography (DAT SPECT) imaging measured by the bilateral putamen Specific Binding Ratio (SBR) and 2) a clinical outcome measured by the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part III score. Each endpoint will be assessed separately using a longitudinal Bayesian mixed effects model, which compares the active treatment group to the shared placebo control group. The model uses regimen-specific controls at full weight and dynamically discounts controls from other regimens. Additionally, placebo control estimates are supplemented by non-randomized control data from the PPMI cohort. Clinical trial simulations, informed by longitudinal data from 275 P2P-eligible PPMI study participants (Age 60-81, 35% Female, 65% Male), were conducted to evaluate the design. Each regimen is well-powered to detect a 40% slowing in progression for both the clinical and biomarker primary endpoints when comparing active treatment to randomized control data. Supplementing the control estimation with non-randomized, P2P-eligible registry participant data increases power in the explored scenarios up to 4% for each endpoint. The embedded P2P platform trial is a powerful learning study that leverages statistical efficiencies from the platform trial design and established PPMI infrastructure and is poised to advance treatment development in early-stage NSD.

medRxiv
Northwestern University (US), University of Iowa (US), University of California, San Francisco (US), Michael J. Fox Foundation (US), University of Rochester Medical Center (US), Institute for Neurodegenerative Disorders (US), Indiana University Indianapolis (US), Indiana University School of Medicine (US), Berry Consultants, LLC (United States) (US), University of Rochester (US), University of Pennsylvania (US), Newcastle University (GB)
Michael J. Fox Foundation for Parkinson's Research, Bristol-Myers Squibb, Eli Lilly and Company, Sanofi, Patient-Centered Outcomes Research Institute, Regeneron Pharmaceuticals, Ionis Pharmaceuticals, ACADIA Pharmaceuticals, Voyager Therapeutics, Weston Family Foundation, H. Lundbeck A/S, National Institutes of Health, Genentech
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Statistical Methods in Clinical Trials
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