Immediately Loaded Platform‐Switched Implants in the Anterior Mandible with Fixed Prostheses: A Randomized, Split‐Mouth, Masked Prospective Trial
Bibliographic record
Abstract
BACKGROUND: Platform-switched implants have been demonstrated to maintain marginal bone-level stability after immediate loading. The present study evaluated crestal bone loss and soft tissue stability around ANKYLOS plus® implants (A-implants) and Certain® PREVAIL(TM) (B-implants). MATERIALS AND METHODS: Patients were identified to receive three A- or three B-implants on each side of their mandibles, with randomization. All implants were loaded immediately after their insertion and splinted with a cemented provisional prosthesis. Final prostheses were delivered 3 months after implantation. Peri-implant crestal bone loss, gingival recession, and other soft tissue changes were evaluated throughout a 2-year follow-up. RESULTS: A total of one hundred seven implants were placed in 18 patients. Two of the group A-implants and one group B-implant failed. At the final 24-month assessment, bone loss of at least 2 mm (mesially or distally) was recorded at 5 of the 44 surviving A-implants (11%) and 33 of the 47 B-implants (70%), a success rate of 88.63% for the A- and 29.78% for the B-implants. CONCLUSIONS: Significant changes in the level of the crestal bone loss around immediately loaded platform-switched dental implants seem to be related to the platform shape and size, as well as the implant-abutment connection, when abutments are not removed.
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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 | 0.003 | 0.002 |
| 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 | 0.003 | 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".