MétaCan
Menu
Back to cohort
Record W4406146090 · doi:10.1080/19424396.2024.2447093

Pharmacotherapeutics of Musculoskeletal Orofacial Pain

2025· article· en· W4406146090 on OpenAlexaff
Brian E. Cairns, Sujay A. J. Mehta

Bibliographic record

VenueJournal of the California Dental Association · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOrofacial painMedicineMusculoskeletal painDentistryMEDLINEPhysical therapy

Abstract

fetched live from OpenAlex

Background Musculoskeletal orofacial pain is an umbrella term for pain in the masticatory muscles, temporomandibular joint and their associated tissues. Diagnostic criteria divide these into myalgias, disc displacement, and arthralgias.Types of Studies Reviewed A PubMed search was conducted to identify primary studies, reviews, and meta-analyses that assessed the effectiveness of specific analgesic treatment for “temporomandibular disorders”.Results Few randomized clinical trials of analgesic drugs used to treat musculoskeletal orofacial pain have been undertaken. Current pharmacotherapy for pain management is largely based on clinical experience. It is recommended that analgesic therapy be initiated with a topical non-steroidal inflammatory before moving to oral analgesic or skeletal muscle relaxant therapy.Practical Implications Conservative step-wise analgesic therapy in combination with education and other treatment modalities, such as cognitive behavioral therapy, should be considered in the management of patients with chronic musculoskeletal orofacial pain.Continuing Education Credit Available: A CDA Continuing Education quiz is online for this article: https://www.cdapresents360.com/learn/catalog/view/20The practice worksheet is available online: https://doi.org/10.1080/19424396.2025.2464480

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)0.001
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 score0.277
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.284
Teacher spread0.279 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the California Dental AssociationSame topicPain Mechanisms and TreatmentsFrench-language works237,207