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Record W4412178337 · doi:10.1002/mds.30259

Disease‐Modifying Trials in Treated Parkinson's Disease: “Stable Treated” Does Not Equate with Biological Stability

2025· review· en· W4412178337 on OpenAlexaff
M. Maral Mouradian, A. Jon Stoessl, Anthony E. Lang

Bibliographic record

VenueMovement Disorders · 2025
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health NetworkUniversity of British Columbia
Fundersnot available
KeywordsDiseaseParkinson's diseaseDegenerative diseaseMedicineClinical trialNeurosciencePhysical medicine and rehabilitationPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Traditionally, clinical trials of putative disease-modifying therapies in Parkinson's disease have enrolled untreated patients at the earliest clinical stages of their disease. Due to a number of challenges inherent with this approach, there has been a recent move to a different study design, enrolling patients who are already taking "stable" anti-parkinson medication. However, typically, the symptomatic treatment regimen has not been defined uniformly with respect to drugs and dosages utilized or duration of therapy. More importantly, this approach fails to consider or account for the major pharmacodynamic changes induced in the parkinsonian brain by varying dopaminergic therapies (particularly levodopa) and the impact of these on both clinical and neuroimaging outcome measures. In this review, we highlight what is known about the changes induced by dopaminergic therapy and the challenges these will present in the interpretation of outcomes of studies using this trial design. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.344
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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