Clinical outcomes of implants placed in ridge‐preserved versus nonpreserved sites: A 4‐year randomized clinical trial
Bibliographic record
Abstract
BACKGROUND: Consistent bone changes occur after tooth removal, often compromising the success of implants placed within the socket left to natural healing The long-term effect of ridge preservation on implant outcomes is still unclear. PURPOSE: The aim of the study was to assess success and survival rates of implants placed in extraction sockets, with spontaneous healing, or grafted with cortical porcine bone, or collagenated corticocancellous porcine bone. MATERIALS AND METHODS: Ninety patients in need for a single premolar/molar tooth extraction and an implant treatment were selected for the present study. Patients were randomly distributed among 3 groups: sites that healed naturally (ctrl), or sites that received ridge preservation with either cortical (cort) or collagenated corticocancellous porcine bone (coll). Three months after, all the experimental sites were reentered to insert implants. Marginal bone levels were recorded; soft tissues were analyzed and summarized with the Pink Esthetic Score (PES). Forty-two patients out of 90 (initial cohort study) completed the entire follow-up of 4 years. RESULTS: Cumulative survival and success rates for all implants were 100% at a 4-year evaluation. Mean marginal bone loss (MBL) was 1.14 ± 0.23 mm in the cort group, 1.13 ± 0.29 mm in the coll group, and 1.92 ± 0.07 mm in the ctrl group. There were no significant differences between the 2 grafting materials but MBL was significantly greater in the nongrafted sites (P value < .001). The PES resulted significantly better (9.42 ± 0.75) for the cort group than for the coll group (8.53 ± 1.18) and ctrl group (6.07 ± 1.89) at 4-year evaluation. CONCLUSIONS: Ridge preservation was more effective than natural healing in preserving marginal bone and in achieving better esthetic outcomes around implants 4 years after placement. The cortical porcine bone showed better clinical outcomes than collagenated corticocancellous porcine bone.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.003 | 0.003 |
| 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".