Use of silastic as interpositional material in the management of unilateral temporomandibular joint ankylosis.
Bibliographic record
Abstract
BACKGROUND: Ankylosis is a very common condition developed mainly after damage to mandibular condyles or temporomandibular joint (TMJ) at a growing age. Different autogenous and alloplastic interpositional materials have been attempted after the resection of the ankylotic bone to achieve desirable results. This condition is relatively common in Pakistan. We treated TMJ ankylosis with alloplastic medical grade silicone "silastic" interpositional arthroplasty. Eight joints accompanied ipsilateral or contralateral coronoidectomy to achieve desirable results. METHOD: All patients were presented at Punjab Dental Hospital Lahore. Sixty-one joints with unilateral TMJ ankylosis were underwent surgery after careful examination and final radiographic confirmation. The preoperative CT scan was also performed in few patients. RESULTS: The postoperative measurements of the interincisal opening with lateral and protrusive jaw movements were criteria for success of surgery. The lateral and protrusive jaw movements were assessed as excellent, good and poor. Less than 25 mm interincisal opening was considered as poor jaw opening. CONCLUSION: The overall success rate was 98.4 % with 84 % desirable interincisal jaw opening. Less than 5% patients were observed with poor jaw opening. The immediate late complications were transient and were included oedema, weakness of a branch of the facial nerve on the operated side. Two implants were infected along with one wire in the first month of surgery and were removed under local anaesthesia without further complication.
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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".