Simultaneous Implant Placement and Sinus Lift Using Leukocyte-Platelet Rich Fibrin: A Retrospective 40-Month Study
Bibliographic record
Abstract
ABSTRACT: The aim of this study was to report the 40-month clinical radiographical outcomes of maxillary sinus floor augmentation using leukocyte-platelet rich fibrin (L-PRF) as a single graft in combination with immediately placed implants. Twenty partially edentulous individuals with missing teeth in the region associated to maxillary sinus were included in this retrospective study. A lateral sinus floor elevation was performed considering a complete wear of the bone wall of the maxillary sinus and immediately placing the implant and filled the maxillary sinus with L-PRF clots as a single graft. After 5 months, all the implants received single screwed implant-supported prostheses. Subsequent evaluation was every 4 months assessing the success rate and biological complications. Two maxillary sinus membrane were perforated and covered with L-PRF clots. The mean bone height gain was 62.6%, observing a 100% of success and that in all the cases achieved at least the implant height. In conclusion, the use of platelet-rich fibrin clot as a single graft biomaterial during the maxillary sinus lift procedure combined with immediate implant placement may be a reliable clinical alternative, even to repair the sinus membrane.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".