Mini‐Invasive Osteotome Sinus Floor Elevation in Partially Edentulous Atrophic Maxilla Using Reduced Length Dental Implants: Interim Results of a Prospective Study
Bibliographic record
Abstract
PURPOSE: The purpose of this prospective study was to investigate the clinical success of a treatment protocol for the rehabilitation of edentulous posterior maxilla consisting of the positioning of short implants in combination with transcrestal sinus lifting, with the adjunct of pure (leukocyte-free) platelet-rich plasma, in order to reducing the risk of membrane perforation and other surgical complications. MATERIALS AND METHODS: A total of 25 patients (65 implants) were treated. Pure platelet-rich plasma was used in the sinus membrane lifting procedure. Implants of 8.5 mm length or shorter were splinted through the prosthetic rehabilitation with one or more implants longer than 10 mm. RESULTS: After a follow-up period ranging from 12 to 19 months (mean 14.4 months) after prosthetic loading, 23 patients (60 implants) were evaluated. Overall implant success and survival rates were 100% at 1 year follow-up visit. All prosthetic rehabilitations were successful and in function. After 1 year of loading, peri-implant bone loss averaged 0.34 ± 0.21 mm for 8.5 mm or shorter implants (n = 25) and 0.36 ± 0.30 mm for longer implants (n = 35) (overall mean 0.35 ± 0.25 mm) without significant difference between the two groups (p = 0.23). CONCLUSIONS: The proposed treatment protocol is a viable option for the rehabilitation of edentulous posterior atrophic maxilla.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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".