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Record W4392846948 · doi:10.17219/dmp/175686

Decrypting the putative interrelation between sleep bruxism, masticatory muscle pain and sleep breathing disorders: Nosology and the role of hypoxia

2024· article· en· W4392846948 on OpenAlexaff
Mieszko Więckiewicz, Gilles Lavigne, Helena Martynowicz

Bibliographic record

VenueDental and Medical Problems · 2024
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsSleep BruxismMasticatory forceSleep (system call)Hypoxia (environmental)NosologyMedicinePsychologyPhysical medicine and rehabilitationPsychiatryElectromyographyOrthodontics

Abstract

fetched live from OpenAlex

This commentary on sleep medicine explores whether the potential relationship between sleep bruxism (SB), masticatory muscle pain (MMP) and sleep breathing disorders (SBDs) contributes to improving the management of co-occurring conditions.The paper is divided into 2 sections: (1) reviewing the debate on SB nosology; and (2) based on the publications from the Martynowicz & Wieckiewicz research group, exploring the role of intermittent hypoxia as a putative mechanism endotype that may link such co-occurrence among individuals for whom characteristics are not yet clear. Disentangling the nosology of sleep bruxism is essential before associating it with other conditions and investigating mechanismsAccording to the consensus from a group of clinical scientists presented in a work-in-progress report, sleep bruxism (SB) is defined as "masticatory muscle activity during sleep that is characterized as rhythmic (phasic) or nonrhythmic (tonic), and is not a movement disorder or a sleep disorder in otherwise healthy individuals".1 Sleep bruxism is currently considered an oro-motor behavior, with central interaction between the cerebral and cardiorespiratory autonomic systems.The specificity of the genetic contribution remains to be confirmed. 2ince it has become accepted that SB is not a parafunction or a disease, it remains a matter of debate whether it fits into the classical scheme of a disorder in otherwise healthy individuals.[1][2][3] Difficulty with clarifying whether SB is a behavior or a disorder is evident in a series of landmark commentaries; it is due to the gray area between a behavior without consequences and the point at which it becomes harmful.4 Therefore, standardization is required so that firm, evidence-based conclusions could be generalized to clinical practice.5 This is further corroborated by a recent theoretical analysis that does not support classifying SB as a disorder.6,7 The American Academy of Sleep Medicine (AASM) Cite as Więckiewicz M, Lavigne G, Martynowicz H. Decrypting the putative interrelation between sleep bruxism, masticatory muscle pain and sleep breathing disorders: Nosology and the role of hypoxia [published online as ahead of print on

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0020.005
Open science0.0030.002
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0020.001

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 head0.267
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2024
Admission routes1
Has abstractyes

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