Immediate placement of tapered implants with a moderately rough anodized surface and smooth collar in fresh extraction sockets: A retrospective analysis with 10‐year follow‐up
Bibliographic record
Abstract
BACKGROUND: There is limited long-term data on hard- and soft-tissue outcomes of implants immediately placed in postextraction sockets with immediate or early loading. PURPOSE: To evaluate the clinical outcomes of immediately placed anodized tapered implants in consecutive patients with at least 10 years of follow up. MATERIALS AND METHODS: This retrospective analysis evaluated outcomes of 61 consecutive patients who received 89 tapered implants with an anodized implant body and machined collar. Implants were placed in fresh extraction sites and functionalized using an immediate- or early-loading protocol. Outcome measures included survival, marginal bone level change (ΔMBL), and papilla index. RESULTS: The 10-year cumulative survival rate was 100%. ΔMBL at the 10-year follow up was -0.86 ± 2.10 mm. At 10 years, patients had mesial and distal papilla index scores of 2 or 3 for 95.9% and 87.8% of implants, respectively. CONCLUSIONS: When used for immediate placement and immediate- or early-loading protocols, this implant produced excellent long-term hard- and soft-tissue outcomes.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".