Full Mouth Rehabilitation By Toronto Bridge With Five-Year Follow-Up
Bibliographic record
Abstract
Toronto Bridge, includes all cases of full-arch rehabilitation with reconstruction of hard and soft tissues. This technique uses a bar on which individual crown units are cemented. This case report presents the 5-year follow -up of an edentulous patient rehabilitated with Toronto Bridge supported by 4 implants in the mandible and 4 implants in the maxilla A 55-year-old edentate woman referred to the clinic complaining about the loss of teeth, esthetic, phonetic, and functions.. After clinical and radiographic evaluation, 4 mandibular implants and 4 maxillary implants, including 2 zygomatic implants were placed. Hybrid full arch prostheses were delivered as a final prosthesis. The patient was called to the clinic for the controls every 6 months within five years. İn most cases of edentulism, anatomical limitations combined with severe resorption, do not permit conventional implant treatment. Such cases have alternative treatments such as bone grafts, while others utilize the maxillary sinus lift procedures in the posterior part of the maxilla. Disadvantages of these alternatives include the need for several surgeries and longer healing times. Another alternative is tilted implant placement in the posteriour area. İn the maxilla, zygomatic implants can also be used to decrease the number of surgeries. İn this study, because of the Class III occlusion, holes of the screws would lead to aesthetic problems. This was solved with a Toronto bridge implant supported hybrid prosthes. The application of the Toronto Bridge design resulted in the increased comfort and life quality of patient. After completion of a 5-year follow-up period, the clinical and radiologic findings were satisfactory.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".