The Effectiveness of Using Autologous Fat in Temporomandibular Joint Ankylosis Treatment with Interposition Arthroplasty Method: A Systematic Literature Review
Bibliographic record
Abstract
Relevance of the problem and aim of the work: Ankylosis of the temporomandibular joint (TMJ) affects physical, psychological, and social well-being and quality of life. One of the most frequently used surgical interventions for the treatment of temporomandibular joint ankylosis is interpositional arthroplasty, particularly in cases where joint preservation is feasible, with different autologous fats: dermis fat, buccal fat pad, and full thickness skin-subcutaneous fat. The aim of the work was to evaluate the efficiency of using different autologous fats in temporomandibular joint ankylosis treatment with interposition arthroplasty method. Materials and Methods: This systematic literature review was conducted according to PRISMA guidelines and registered in the PROSPERO database (CRD420251038325). A comprehensive search was performed in PubMed, the Cochrane Library, and ScienceDirect databases using combinations of keywords: (temporomandibular joint disorders OR temporomandibular joint) AND (adipose tissue or autologous) AND (ankylosis OR arthroplasty). Inclusion criteria were clinical studies conducted on human subjects, written in English, that evaluated the use of autologous fat in interpositional arthroplasty for TMJ ankylosis. The main outcome measures included postoperative maximum mouth opening (MMO), pain intensity, and relative fat volume contraction. Risk of bias was assessed using the Cochrane RoB 2 tool for randomized controlled trials and the Newcastle–Ottawa Scale for cohort studies. Most included studies were of moderate to high quality. Results: A total of 20 publications were selected, including a total of 369 patients. In a qualitative analysis, the best results for maximal opening of mouth (MOM) at 3, 6, 12, and more than 12 months were obtained with dermal fat. After 3 months, the MOM was 40.0 ± 2.7 mm, after 6 months—40.80 ± 4.26 mm, after 12 months—41.9 ± 4.0 mm, after more than 12 months—43.5 mm. The lowest pain intensity was observed using dermal fat taken from the iliac crest region. The rate of volumetric fat shrinkage was greater using buccal fat pad than dermis fat. Conclusions: The most commonly used types of autologous fat in interposition arthroplasty in ankylosis are the following: dermal fat from the abdominal region (iliac crest, subumbilical area, groin), buccal fat pad and full-thickness subcutaneous fat. The best results after the surgical treatment of TMJ ankylosis with interposition arthroplasty are obtained using dermis fat.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".