Transcrestal Sinus Lift Using Platelet Concentrates in Association to Short Implant Placement: A Retrospective Study of Augmented Bone Height Remodeling
Bibliographic record
Abstract
BACKGROUND: No evidence has been reported yet about dimensional changes in maxillary sinuses grafted with autologous platelet concentrate. PURPOSE: This study aimed to analyze the augmented height alterations around short implants (length ≤ 8.5 mm) placed after transcrestal sinus lift surgery in association with plasma rich in growth factors. MATERIALS AND METHODS: A retrospective design was used. Patients with atrophic posterior maxilla were treated by inserting short implants in combination with transalveolar maxillary sinus floor augmentation. Radiographic bone level alterations over time were assessed on panoramic radiographs. RESULTS: Transalveolar sinus augmentation was performed to place 41 implants in 26 patients with a residual bone height of 4.7 ± 1.3 mm. The alveolar bone height was increased by 3.7 ± 1.7 mm and 4.2 ± 2.0 mm after 12 ± 3 months and 35 ± 11 months of surgery, respectively, whereas the apical augmented height (beyond the implant) apex was stable around 34 implants during the follow-up. It was increasing around seven implants that were not covered by the endo-sinus augmented height at the 1-year follow-up. CONCLUSIONS: Transalveolar sinus floor augmentation in association with plasma rich in growth factors and short implants resulted in a stable augmented height gain after 3 years follow-up. Atrophic posterior maxilla could be treated by transalveolar sinus lift in association with plasma rich in growth factors and the placement of short 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".