Use of a modified maxillary relaxation-type occlusal splint in muscular-articular dysfunction of the temporomandibular joint
Bibliographic record
Abstract
Background. Mechanical irritation of the oral cavity activates the mouth-opening reflex (mandibular depression). Uncoordinated muscle contraction during teeth clenching exerts traction on the articular disc, causing its displacement. Objective: to modify a maxillary relaxation-type occlusal splint for treating muscular-articular dysfunction of the temporomandibular joint. Materials and methods. Out of 325 examined individuals, 85 patients with muscular-articular dysfunction of the temporomandibular joint (63 women, 74 %; 22 men, 26 %; mean age of 36.2 ± 10.8 years) were randomly selected. They were divided into three groups according to the DC/TMD diagnostic criteria. The functional state of the masticatory muscles before and after treatment was assessed by electromyography. Results. The occlusal splint modified by us promotes relaxation of the masticatory muscles and a change in the stereotypical muscular guidance of the mandible into habitual occlusion, eliminating the influence of occlusion on condylar position and movement. Consequently, the condyles assume a new position independent of occlusal relationship. During jaw closure, the mandible shifts mesially without dental contact, providing physiological rest for the mandible, masticatory muscle relaxation, and suppression of the periodontomuscular reflex arc. Conclusions. Quantitative electromyography analysis showed that treatment with the modified occlusal splint improves muscle balance, restores coordination between working and balancing sides, and reduces pain in patients with muscular-articular dysfunction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".