Short Implants with Oxidized Surface in Posterior Areas of Atrophic Jaws: 3‐ to 5‐Year Results of a Multicenter Study
Bibliographic record
Abstract
BACKGROUND: The loss of one or more teeth has always been a reason for bone resorption and it can lead to a condition of "alveolar atrophy" that could make implant rehabilitation difficult. PURPOSE: The aim of this prospective study was to observe crestal bone loss and implant success of short implants with oxidized surfaces in patients with partially edentulous jaws after a 3- to 5-year follow-up. MATERIALS AND METHODS: Forty-six patients with single or partial edentulism were treated consecutively from 2006 to 2008 using 107 short implants with oxidized surfaces, which were restored with a single crown or a partial fixed denture. Clinical and radiographic examinations were scheduled after functional loading of implants according to a well-established protocol generally applied to determine implant success rates and crestal bone levels. Statistical analysis was used to determine significant differences or correlations between variables (p = .05). RESULTS: After a 3- to 5-year follow-up, 44 patients with 102 implants were still followed up according to previously established study protocol, because two patients with five implants dropped out. Ninety-eight out of 102 implants are still functioning: four implants have been lost, with a survival rate of 96.1%. Moreover, a total of seven implants failed to meet the success criteria, resulting in a success rate of 93.1%. The mean bone loss was 0.9 ± 0.6 mm. CONCLUSIONS: Many authors had recently demonstrated the predictability of short implants in different clinical conditions after a short-term follow-up. After 3 to 5 years of functional loading, short implants used to restore posterior teeth seems to be a viable solution in order to simplify and shorten the treatment of patients with partial edentulous jaws. Long-term follow-up is recommended to definitively establish the predictability and efficiency of this kind of implant-supported rehabilitation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".