Subperiosteal Papilla Augmentation With a Non–Animal‐Derived Hyaluronic Acid Overlay Technique
Bibliographic record
Abstract
INTRODUCTION: Loss of the interdental papilla, leading to the formation of black triangular spaces just below the contact area of adjacent teeth, is one of the most challenging periodontal conditions to treat and often requires an interdisciplinary approach by the periodontist, restorative dentist, and orthodontist. Although these "black triangles" may appear quite small from a clinician's standpoint, they can have a significant impact on oral health satisfaction for patients. This case series illustrates a novel minimally invasive approach to restore interdental papilla deficiencies. CASE PRESENTATION: Four interdental papilla defects were treated in three females. No patients were lost to follow-up over 6 months. The surgery consisted of a horizontal incision placed apical to the area of papillary loss in the alveolar mucosa just beyond the mucogingival junction. An interdental subperiosteal tissue space was then created by tunneling toward and under the dental papilla. Once adequate release was achieved, dermal filler was administered into and underneath the deficient papilla. The papillary margins were then sealed with cyanoacrylate and additional dermal filler was injected as needed to achieve ideal papillary fill. Six months after treatment there was an improvement in patient-satisfaction regarding papilla fill demonstrated by a mean increase in visual analogue scale (VAS) measurements of 62.46%. Mean papilla fill was 1.75 mm. CONCLUSION: This surgical technique demonstrates the restoration of deficient interdental papillae between teeth and implants, and perhaps as importantly, a considerable improvement in patient-based outcomes quantified through VASs.
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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 | 0.000 |
| 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 | 0.000 |
| 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".