Resorbable Implants for Mandibular Fracture Fixation: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Mandibular fractures in adults commonly require rigid fixation to ensure proper occlusion while minimizing infection risks. Numerous centers have assessed the efficacy of resorbable materials as a potential alternative to metallic plates. The purpose of the current systematic review and meta-analysis is to shed light on overall outcomes for resorbable implants and to compare these results to those for metallic counterparts. Methods: A systematic review of clinical studies reporting outcomes for resorbable plates for mandible fractures was carried out. The reported outcomes were hardware failure/exposure, infection, wound dehiscence, reoperation, malocclusion, and nonunion. The results were pooled descriptively and stratified according to fracture and implant type. A subset meta-analysis of prospective studies comparing metallic and resorbable implants was also carried out. Results: Eighteen studies were included for a total of 455 patients managed with resorbable implants (mean follow-up, 8.95 months) with an overall complication rate of 19.8 % (n = 90/455). Infection (n = 31/455, 6.8%) and wound dehiscence (n = 28/455, 6.2%) were the most common complications. Nonunion occurred in 1.1% (n = 5/455) of patients. Seven studies were included in a meta-analysis, and the rates of adverse events in the resorbable and metallic groups were 18.0% (n = 32/178) and 18.3% (n = 33/180), respectively, with no statistically significant difference between both cohorts (95% CI 0.58, 1.82, P = 0.93). Conclusions: This study suggests that there are no statistical differences in outcomes for patients with mandible fractures managed with resorbable or metallic implants. In the absence of meta-analyses or large randomized controlled trials, the current study provides surgeons with an evidence-based reference to guide decision-making.
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.029 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".