Long‐term evaluation of osteotome sinus floor elevation and simultaneous placement of implants without bone grafts: 10‐Year radiographic and clinical follow‐up
Bibliographic record
Abstract
BACKGROUND: Insertion of an implant in the edentulous posterior maxilla is a challenging procedure because of poor bone quality and increased pneumatization of the maxillary sinus after tooth extraction. To increase the amount of bone, several surgical bone grafting techniques have been used-with considerable morbidity for patients. Osteotome sinus floor elevation (OSFE) is a less invasive technique. The clinical and radiographic outcome of 53 implants placed with this technique without bone graft has been reported previously. PURPOSE: Here we report the clinical and radiographic findings after 10 years of implant load bearing. MATERIAL AND METHODS: In a retrospective study, 34 Astra implants in 25 patients were subjected to 10-year follow-up radiologically and clinically. Each patient received 1 or 2 conical Astra implants. The level of the marginal bone and the height of the residual peri-implant alveolar bone (RPAB) for each implant were measured from digital intra-oral radiographs. RESULTS: Two implants in edentulous patients were lost at the 1-year follow-up, and 1 more at the 3-year examination. There was no loss between 3-year and 10-year follow-up. At 10-year follow-up 36 implants were included. Implants used in single-tooth replacements and in partially edentulous cases had a 100% survival rate. The mean marginal bone loss was 0.6 ± 0.8 mm. The bone height at the time of implant insertion ranged from 1.8 to 6.9 mm, with a mean value of 4.3 ± 1.0 mm. At 10-year follow-up the mean gain in bone at the implant sites for all implants was 2.6 ± 1.2 mm. CONCLUSIONS: The OSFE technique is a reliable method for rehabilitation of patients with atrophied posterior maxilla. However, the success of this method is associated with the amount of the residual bone. In the present study, this surgical approach without bone graft showed reliable long-term results with Astra implants.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".