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Record W3034423826 · doi:10.1111/jsr.13127

The urge to move: From restless legs syndrome to impulse control disorders in Parkinson’s disease

2020· article· en· W3034423826 on OpenAlexaff
Ana Marquès, Michela Figorilli, Céline Lambert, Tiphaine Vidal, Jacques Montplaisir, Franck Durif, Maria Livia Fantini

Bibliographic record

VenueJournal of Sleep Research · 2020
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRestless legs syndromeParkinson's diseaseMedicineRopiniroleDiseasePopulationImpulse controlImpulse control disorderDopamine agonistPhysical therapyPhysical medicine and rehabilitationPediatricsLevodopaInternal medicineDopaminePsychiatryNeurologyDopaminergic

Abstract

fetched live from OpenAlex

Impulse control disorders (ICDs) in Parkinson's disease (PD) are defined as a failure to resist an "urge" to behave in a way that may be debilitating for oneself or others. The suggested immobilization test (SIT) has been developed to assess the "urge" to move and support the diagnosis of restless legs syndrome (RLS) in the general population and in PD. A clinical association between RLS and ICDs has been shown in PD and in the general population. We hypothesized that there could be a semiological overlap between RLS and ICDs, and conducted SIT in PD patients with and without ICDs. Fifty PD patients with (n = 17) and without (n = 33) current ICDs were included. SIT, videopolysomnography, demographical treatment, and motor, psycho-behavioural and sleep characteristics, including RLS, were recorded. PD patients with ICDs reported increased subjective discomfort during SIT (SD-SIT) compared to those without ICDs (p = .024). Multivariable analysis confirmed ICDs as an independent factor associated with increased SD-SIT in PD, regardless of the presence of RLS, PD severity and dopamine agonist treatment dose. The discomfort measured by SIT might not only reflect the "urge" to move in RLS but also the ICDs in PD, suggesting that ICDs and RLS in PD could share a common phenomenology.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.175
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.050
GPT teacher head0.379
Teacher spread0.329 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

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