Clinical evaluation of the buccal aspect around immediate implant using dual zone therapeutic concept versus buccal gap fill to bone level: A randomized controlled clinical trial
Bibliographic record
Abstract
OBJECTIVE: Soft tissue esthetics for immediate implant is considered challenging when restoring a tooth in an esthetic zone. This study aimed to evaluate the buccal aspect after immediate implant using the dual-zone therapeutic concept compared to grafting the buccal gap to the bone crest. MATERIALS AND METHODS: Twenty-four patients were randomly assigned into either immediate implant with the dual-zone therapeutic concept (DZ, test group) or with bone grafting till buccal bone crest with immediate temporization (BCG, control group). Pink esthetic score (PES), buccal bone loss (BBL), mid-facial recession (MFR), soft tissue thickness (STT), keratinized tissue width (KTW), post-operative swelling (POS), and patient satisfaction (PS) were evaluated for 1 year. RESULTS: At 12 months the PES in the test group was 11.36 ± 1.69, and 10.80 ± 1.55 in the control group, with no statistically significant difference (p = 0.45). MFR in the DZ and BCG groups was 0.27 ± 0.34 and 0.45 ± 0.44 after 12 months with no statistical significance difference (p = 0.195). The STT assessment showed a statistically significant increase in both groups, however the intergroup comparison was statistically not significant (p = 0.23). The mean KTW in the DZ and BCG groups was 4.55 ± 1.08 and 4.20 ± 0.82 mm, respectively with no statistical significance (p = 0.42). There was no statistical significant difference in patient satisfaction between the two groups except in question number 10 concerning the post-operative swelling which was higher in the DZ group (p = 0.009). CONCLUSIONS: Both treatment modalities are considered reliable methods to achieve good soft tissue esthetics. However, both treatment modalities were not effective in preventing facial bone resorption despite the use of bone graft.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".