Long‐term stability of autologous bone graft of intraoral origin after lateral sinus floor elevation with simultaneous implant placement
Bibliographic record
Abstract
BACKGROUND: Lateral approach to maxillary sinus floor elevation (LSFE) with autologous bone grafts and simultaneous implant insertion is a widespread technique for prosthetic rehabilitation of the atrophic maxilla. PURPOSE: To analyze implant survival and autologous bone graft resorption after LSFE, in patients with at least 5 years follow-up. MATERIALS AND METHODS: Thirty-three patients (mean age 56 years, range 46-68 years) who had undergone LSFE with intraoral autologous bone graft from mandibular ramus and simultaneous implant insertion were included. A minimum of 5 years of follow-up was required. The total peri-implant bone height was measured at mesial and distal aspects of the implants immediately after surgery (T0) and after a period ranging from 5 to 11.5 years after surgery (mean 7.65 ± 1.80 years) (T1) on digital panoramic and periapical radiographs. Wilcoxon matched-pairs signed rank test was used to compare bone graft height at T0 and T1. The influence of patient-, surgery-, and implant-related factors on the outcomes was investigated. RESULTS: Of the 58 implants placed, no one was lost. All prostheses were in function, and no biological or mechanical complications occurred. The residual ridge height at the involved sites averaged 6.48 ± 1.72 mm. The mean bone height at grafted regions was 12.05 ± 2.47 mm at T0 and 12.13 ± 2.39 mm at T1 (not statistically significant). Marginal bone level change at T1 averaged -1.22 ± 1.60 mm. None of the evaluated factors significantly affected the results. CONCLUSION: Autologous bone grafts from intraoral donor sites display excellent volume stability over time that may contribute to optimal outcomes of the procedure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".