Use of a Novel In Situ Hardening Biphasic Alloplastic Bone Grafting Material for Guided Bone Regeneration Around Dental Implants: A Prospective Case Series
Bibliographic record
Abstract
Introduction The novel bioresorbable polymer poly (lactide‐co‐glycolic acid) (PLGA) coated biphasic calcium phosphate material (BCP) hardens into a stable and porous hard tissue scaffold when exposed to body fluids. The self‐containable, stable bone graft material might be beneficial for facilitating guided bone regeneration (GBR) around dental implants, especially for a defect with an absence of bony wall(s). The aim of this prospective case series is to evaluate the post‐surgical implant survival and success where the in situ hardening BCP was used for GBR around dental implants. Case Series Ten patients received 13 implants with simultaneous bone augmentation. Dehiscence and/or fenestration type of bony defect was detected in nine surgical sites, and three surgical sites exhibited a suprabony defect. In nine out of the 13 implants, a membrane was used in conjunction with the bone grafting. Patients were evaluated at the day of the surgery as well as 2 weeks, and 1, 3, 6, and 12 months postoperatively. All post‐surgical wounds were uneventfully healed. Radiographic bone levels showed stability over time with an average bone loss/remodeling of 0.19 ± 0.6 mm (range, −0.5‐1.5 mm) from implant placement to the last follow‐up at 12 months. All implants survived after 12 months. Conclusions Implant placement with simultaneous bone grafting using the in situ hardening BCP, was shown to be a viable and safe procedure with stable clinical and radiographic results over the follow‐up period. Further long‐term studies are warranted, however, the combination of the ease of handling and the favorable results are promising.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".