Immediate Implants with Immediate Loading vs. Conventional Loading: 1‐Year Randomized Clinical Trial
Bibliographic record
Abstract
PURPOSE: This 1-year randomized clinical trial compared the bone regeneration and success rates between immediate and conventional loading of dental implants placed immediately after extraction in patients with a past history of periodontal disease. METHODS: Sixty patients who chose an immediate implant treatment option to replace a hopeless tooth were included in this study. PATIENTS: Patients were randomly assigned to receive immediate implants with either immediate loading (group A) or conventional loading after 3 months (group B). At baseline, both groups received a mucoperiosteal flap, extraction, implant placement, allograft bone, and a membrane. Group A received a provisional crown. In group B, a cover screw was placed and primary closure was achieved. The patients were evaluated at 3, 6, and 12 months postoperatively. RESULTS: The 1-year implant survival rate was 95% for the whole study group: 96.6% for group A, and 93.3% for group B. The bone level increased significantly in both groups (group A: 0.99 ± 0.22 mm; group B: 0.75 ± 0.17 mm), and the difference was not statistically significant (p > 0.5). At the 1-year postoperative visit, the mucogingival junction (MGJ) was found to be displaced coronally in 65% of implant sites in group B compared with 15% sites in group A. CONCLUSIONS: Both the immediate and delayed loading of immediately placed implants showed similar outcome with regards to treatment success rates and stability of radiographic bone level. Submerging an immediately placed implant and primary soft tissue closure did not show significant outcome advantages over the transmucosal approach.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".