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Record W93713114

Internal derangements of the temporomandibular joint: the role of arthroscopic surgery and arthrocentesis.

2000· article· en· W93713114 on OpenAlexaff
Suzanne Z. Barkin, S Weinberg

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsArthrocentesisMedicineTemporomandibular jointSurgeryEtiologyArthroscopyRange of motionDentistryOsteoarthritisSynovial fluidInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Arthroscopic surgery appears to be a safe, minimally invasive and effective method for treating internal derangements of the temporomandibular joint (TMJ), reducing pain and increasing mandibular range of motion for approximately 80% of patients. Although these results are encouraging, they are largely based on retrospective, uncontrolled and short-term studies. The landmark observation that lysis and lavage in only the upper compartment of the TMJ produce successful clinical results without repositioning the disc has prompted clinicians to question the importance of disc position as a significant factor in the etiology of TMJ pain dysfunction. Although there are prospective, controlled, randomized short-term studies indicating that arthrocentesis and arthroscopic surgery have comparable success rates in the management of acute TMJ closed lock, similar long-term studies are lacking. Until they have been done, the roles of arthroscopic surgery and arthrocentesis in the management of TMJ internal derangements remain unclear.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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

Citations85
Published2000
Admission routes1
Has abstractyes

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