Soft tissue esthetics around immediately provisionalized delayed implants with and without connective tissue graft: A randomized clinical trial pilot study
Bibliographic record
Abstract
OBJECTIVE: Evaluate the peri-implant soft tissue esthetics following a single, immediately provisionalized, delayed implant with/-out subepithelial connective tissue graft (SCTG). MATERIAL AND METHODS: The eligible patients were randomized into two groups. Immediate provisionalization was performed with (test group: SCTGG) or without SCTG (control group: NGG). The soft tissue esthetics was assessed by Pink Esthetic Score (PES) and Mucosal Scarring Index (MSI), at 6 and 12 months, following final implant restoration. RESULTS: The SCTGG, compared to NGG, yielded a 0.2 increased PES at 12 months (95% confidence interval (CI): -1, 1.4) and a 0.2 decreased MSI score (95% CI -0.9, 0.5) with no statistically significant differences in PES and MSI between both groups (p > 0.05). CONCLUSION: Soft tissue grafting around immediately provisionalized delayed implants could exhibit comparable results to immediate provisionalization alone in terms of peri-implant soft tissue esthetics using PES and MSI (ClinicalTrials.gov Identifier: NCT03770975).
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".