Simplified Treatment of the Atrophic Posterior Maxilla via Immediate/Early Function and Tilted Implants: A Prospective 1‐Year Clinical Study
Bibliographic record
Abstract
BACKGROUND: Posterior maxillae are often difficult to treat owing to the sinus antrum. Placing implants in remaining bone regions in the atrophic maxilla, without performing sinus grafting, is a challenge. Immediate function adds to this challenge. PURPOSE: The purpose of this study was to suggest and evaluate a simplified treatment concept for the rehabilitation of the atrophic maxilla using tilted implants subjected to immediate/early function. MATERIALS AND METHODS: Eighteen patients were included in the study. Sixty implants were placed to support 19 fixed partial or full-arch prostheses. Immediate/early function was applied. The patients were followed for a minimum of 1 year after prosthesis connection. Stability measurements and radiographic evaluation of the change of the marginal bone level were performed. RESULTS: One axial and one tilted implant failed in one patient, giving a cumulative survival rate of 96.7%. No failure of provisional prostheses occurred. The mean marginal bone resorption recorded after 1 year was low (0.82 mm for axial implants and 0.34 mm for tilted implants). CONCLUSION: The results of the present study suggest that tilted implants placed in immediate function may be a viable treatment approach for the rehabilitation of the atrophied maxilla. Simplified treatment procedures, reduced surgical invasion, shorter treatment time, and reduced costs constitute some of the benefits for the patient and the clinician.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".