A 5 to 7‐year case series on single angulated implants installed following papilla‐sparing flap elevation
Bibliographic record
Abstract
BACKGROUND: Bony concavities at the buccal aspect may cause a distortion between the implant axis and ideal prosthetic axis. Angulated implants can overcome this problem, yet long-term data are lacking. In addition, papilla-sparing incisions have been proposed to reduce tissue loss, yet aesthetic outcomes have not been published. PURPOSE: To evaluate the 5 to 7-year outcome of single angulated implants installed following papilla-sparing flap elevation. MATERIALS AND METHODS: Patients who had been consecutively treated with a single angulated implant (Co-axis®, Southern Implants, Irene, South Africa) in the anterior maxilla were re-examined after 5 to 7 years. Available data at 1 year (T1) were compared to those obtained at 5 to 7 years (T2). RESULTS: Twenty out of 22 treated patients (11 females, 9 males, mean age of 52) with 22 implants attended the 5 to 7-year reassessment. All implants survived and stable clinical conditions could be reached with mean marginal bone loss of 1.28 mm at T2. Papilla-sparing flap elevation resulted in Pink Esthetic Score of 9.83 at T1 and 8.23 at T2 (p = 0.072). Mucosal Scarring Index was 4.61 at T1 and 3.50 at T2 (p = 0.165). The overall appearance of scarring significantly improved over time (p = 0.032), yet 59% of the cases still demonstrated scarring at T2.c CONCLUSIONS: Within the limitations of the study, angulated implants (Co-axis®, Southern Implants) reached stable clinical conditions. Papilla-sparing incisions may not be recommended in aesthetically demanding patients due to high risk of scarring.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".