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Record W4384498704 · doi:10.1002/mdc3.13842

Is <scp>REM</scp> Sleep Behavior Disorder Changing? Secular Changes Versus Referral Patterns

2023· article· en· W4384498704 on OpenAlexafffundabout
Stephen Joza, Álex Iranzo, Ambra Stefani, Amélie Pelletier, Mónica Serradell, Amaia Muñoz‐Lopetegi, Abubaker Ibrahim, Evi Holzknecht, Jacques Montplaisir, Gerard Mayà, Joan Santamaría, Carles Gaig, Melanie Bergmann, Elisabeth Brandauer, Birgit Högl, Jean‐François Gagnon, Ronald B. Postuma

Bibliographic record

VenueMovement Disorders Clinical Practice · 2023
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité du Québec à MontréalHôpital du Sacré-Cœur de MontréalMcGill UniversityCanadian Sleep & Circadian NetworkMontreal Neurological Institute and Hospital
FundersNational Institutes of HealthCanadian Institutes of Health ResearchParkinson CanadaAustrian Science FundBiogenEli Lilly and CompanyEisaiMichael J. Fox Foundation for Parkinson's Research
KeywordsReferralMedicinePediatricsREM sleep behavior disorderRapid eye movement sleepHazard ratioDiseasePsychiatryInternal medicineFamily medicineParkinson's diseaseConfidence intervalElectroencephalography

Abstract

fetched live from OpenAlex

Background: Since 2014, there has been increasing public outreach effort regarding isolated/idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) in Montreal. Objective: To assess if, over time, milder iRBD cases are presenting earlier. Methods: ) and by referral type ("self-referral" vs. "conventional-referral") in three large centers. Results: In Montreal, among 209 subjects followed prospectively, shorter time to phenoconversion was observed in the earlier epoch (5-year phenoconversion = 42% earlier vs. 23% later); diagnosis before 2014 had a 1.8-fold phenoconversion hazard. However, no difference was observed in 248 subjects from Barcelona and 166 from Innsbruck. Analysis of Montreal data found that increased survival in the later epoch was driven by an increasing number of self-referrals, who phenoconverted at 1/3 the rate of physician-referred subjects. Conclusions: Increased patient awareness of iRBD results in earlier presentation to clinical attention, with a longer time to phenoconversion.

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)0.002
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.148
GPT teacher head0.434
Teacher spread0.286 · 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 designNot applicable
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

Citations4
Published2023
Admission routes3
Has abstractyes

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