A long‐term prospective cohort study on immediately restored single tooth implants inserted in extraction sockets and healed ridges: CBCT analyses, soft tissue alterations, aesthetic ratings, and patient‐reported outcomes
Bibliographic record
Abstract
BACKGROUND: Although many studies have been published on single implants, long-term data remain scarce. PURPOSE: To evaluate immediately restored single implants after at least 8 years of follow-up in terms of buccal bone, soft tissue alterations, aesthetic ratings, and patient-reported outcomes. MATERIALS AND METHODS: This prospective cohort study included patients who were consecutively treated with an immediately restored single implant installed in an extraction socket (IIT) or a healed ridge (CIT) in the anterior maxilla. Biomaterials were never used. CBCTs were taken at study termination, soft tissue alterations, and Pink Esthetic Score were evaluated between 1 year and study termination using standardized clinical images. Patient satisfaction was also registered. RESULTS: About 11/16 initially treated patients in the IIT cohort (10 men, 6 women; mean age 45) and 18/23 initially treated patients in the CIT cohort (12 men, 11 women; mean age 40) could be evaluated after more than 8 years. A buccal bone wall less than 2 mm was found at all implant sites. A thin buccal bone wall less than 1 mm was found at 42% of the implant sites. In the CIT cohort, 8 patients had a missing buccal bone in the crestal area, although bone was present at the time of surgery. Alveolar process deficiency significantly deteriorated (P ≤ .046), whereas vertical soft tissue levels and PES remained stable over time in both cohorts. Patients expressed high overall satisfaction. CONCLUSIONS: Substantial dimensional changes may be expected at the buccal aspect of single implants inserted in the premaxilla. As a result, contour augmentation procedures at the time of implant placement should be considered to counteract these bone alterations, even when implants are fully embedded in bone upon insertion.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".