Single crown restorations supported by 6‐mm implants in the resorbed posterior mandible: A 10‐year prospective case series
Bibliographic record
Abstract
PURPOSE: To assess marginal bone level changes, implant and restoration survival, condition of the peri-implant mucosa, and the patient's satisfaction with the single restoration supported by a 6-mm long implant in the posterior mandible after 10 years in function. MATERIALS AND METHODS: Twenty-one consecutive patients missing premolars or molars in the posterior mandible, with a bone volume consisting of a width of at least 6 mm and an estimated height of 8 mm between the top of the ridge and alveolar nerve, were included. Each patient received one or more 6-mm implants. After 3 months, the implants were restored with custom-made titanium abutments and cemented zirconia-based porcelain crowns. The clinical examination and radiograph data were assessed at restoration placement and after 12, 60, and 120 months. The patients answered a questionnaire to score their satisfaction before treatment and after 12, 60, and 120 months with the restoration in function. RESULTS: A total of 31 implants were placed. Implant survival was 100%. The 10-year mean marginal bone loss was 0.18 mm (SE: 0.08). The plaque, calculus, gingiva, and bleeding indices scores were low as was the mean pocket probing depth. The patients' satisfaction was high. CONCLUSION: The 10-year follow-up data of this limited case series study reveal that 6-mm dental implants inserted in the resorbed posterior mandible provide a solid basis for single tooth restorations.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".