The Effects of Alveolar Ridge Preservation: A Meta‐Analysis
Bibliographic record
Abstract
PURPOSE: The aim of this article was to analyze the horizontal, vertical, and histological effects of alveolar ridge preservation (ARP) versus the ones of unassisted socket healing, in the format of an up-to-date review and meta-analysis. MATERIALS AND METHODS: An extensive electronic search in the electronic databases of the National Library of Medicine was conducted for articles published up to June 2014 to identify literature presenting data on the topic of ARP. Only randomized controlled trials, controlled clinical trials, and prospective trials were included for meta-analysis. RESULTS: After screening 903 abstracts from the electronic database, we included 64 studies in qualitative and 18 in quantitative synthesis. Quality assessment characterized a medium risk of bias for the included literature. The meta-analysis showed a mean difference between test and control groups of approximately 1.31 to 1.54 mm in bucco-oral bone width and 0.91 to 1.12 mm in bone height. Additionally, the intergroup difference in percentage of vital bone was assessed to be inconclusive across the included studies. Implants could be inserted into the determined position without further augmentation in 90.1% of the experimental sites, while this was the case in only 79.2% of the control sockets. CONCLUSIONS: Resorption of the alveolar ridge cannot be totally stopped by ARP, while it still can be prevented compared with unassisted healing. No reliable predictions on the histological effects could be made due to limited data. Further on, no recommendation for a specific technique of ARP could be made. In conclusion, there is still need for ongoing research on the topic, even though the lower percentage of implant sites that needed additional augmentation in test sockets seemed to bring a patient benefit.
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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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.052 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".