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Repetitive and impulsive behaviors in treated Parkinson disease

2006· letter· en· W2100617839 on OpenAlexaff
Kevin J. Black, Joseph H. Friedman

Bibliographic record

VenueNeurology · 2006
Typeletter
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsParkinson's diseaseMedicinePhysical medicine and rehabilitationPsychologyDiseaseNeuroscienceInternal medicine

Abstract

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There are few disorders in which the interface between neurology and psychiatry has been more interesting, challenging, and illuminating, providing a greater portal into the physiology of behavior, than Parkinson disease (PD). Depression has been a major focus, but needs much more study. Dementia has attracted increasing attention, especially with the recognition of dementia with Lewy bodies as a common disorder. Anxiety, apathy, sleep disorders, fatigue, and personality also deserve more attention. In this issue, two articles1,2 add important clinical information on yet another fascinating set of disorders, only recently recognized: repetitive behavior syndromes. These are, primarily, pathologic gambling, shopping, and hypersexuality, and are related to the drug treatment of the motor symptoms of PD, specifically treatment with dopamine agonists.1,2 Repetitive behavior disorders with the drug treatment of PD have been recognized since 1994,3 with a report describing punding, a peculiar stereotyped behavior characterized by an intense fascination with a repetitive activity.4 Punding activities have been as varied as sorting collections, grooming, hoarding, repeatedly calculating sums, reading can labels in supermarkets, and reciting empty monologues. While initially considered rare, punding occurred in 17% of patients with PD taking high doses of dopaminergic drugs.5 Although hypersexuality was identified in the early days of l-dopa,6 …

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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.

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

Citations30
Published2006
Admission routes1
Has abstractyes

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