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Record W2145090890 · doi:10.6000/1927-5129.2014.10.26

Reduction of Pain and Depression in Occlusal Splint-Based Treatment for TMD is Accompanied with Increase in Urinary Serotonin

2014· article· en· W2145090890 on OpenAlexvenueno aff
Madalena Nunes, Jorge Oliveira, Rodrigo Brito

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDepression (economics)SerotoninSplint (medicine)Orofacial painUrinary systemDentistryAnesthesiaPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The aim of this study was to assess the parallel effects of an occlusal splint-based intervention for TMD on urinary serotonin levels, depression and pain. Previous RCT studies have shown that occlusal splint-based treatment reduce pain and depression, but have not measured serotonin. 15 patients (four males and 11 females) completed an intervention protocol with a silicone dental splint for 60 days. Patients were assessed before and after treatment for urinary serotonin levels, TMD-related pain and depression symptoms (self-reports). Results showed a significant increase in urinary serotonin levels between the two assessments along with a reduction in pain and depression. Overall results suggest that the positive effects of occlusal-based treatment on physical and mental health could be related to increases in serotonin levels.

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)0.000
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 score0.071
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 head0.035
GPT teacher head0.353
Teacher spread0.317 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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