MétaCan
Menu
Back to cohort
Record W2092036190 · doi:10.1002/mds.20345

Topiramate reduces levodopa‐induced dyskinesia in the MPTP‐lesioned marmoset model of Parkinson's disease

2004· article· en· W2092036190 on OpenAlexaff
Monty Silverdale, Sarah Leigh Nicholson, Alan R. Crossman, Jonathan M. Brotchie

Bibliographic record

VenueMovement Disorders · 2004
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsDyskinesiaLevodopaTopiramateParkinson's diseaseMedicinePsychologyMarmosetAMPA receptorNeurosciencePharmacologyEpilepsyDiseaseInternal medicineGlutamate receptorReceptorBiology

Abstract

fetched live from OpenAlex

Overactive AMPA receptor-mediated transmission may be involved in the pathogenesis of levodopa-induced dyskinesia. The mechanism of action of the anticonvulsant drug topiramate involves attenuation of AMPA receptor-mediated transmission. In this study, the potential antidyskinetic action of topiramate was examined in the MPTP-lesioned marmoset model of Parkinson's disease and levodopa-induced dyskinesia. Topiramate significantly reduced levodopa-induced dyskinesia, without affecting the antiparkinsonian action of levodopa. Topiramate represents an exciting potential novel therapeutic approach to levodopa-induced dyskinesia in patients with Parkinson's disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.268
Teacher spread0.242 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations61
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueMovement DisordersSame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207