Corticotomy-assisted orthodontic treatment
Bibliographic record
Abstract
OBJECTIVES: To systematically review the literature to assess the quality of evidence related to corticotomy-assisted orthodontic treatment (CAOT) as adjunctive treatment in orthodontics. METHODS: The study was conducted in the Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia between 2013 and 2014. Various electronic databases were searched and abstracts were retrieved. Defined inclusion criteria were then applied to the obtained original articles for further evaluation by 2 examiners independently. The criteria of selection included human, or animal studies, which assessed some aspects of CAOT and/or the biological principles behind it. Case reports and series were excluded. The quality of the studies was evaluated by the methodological score for clinical trials developed. RESULTS: Fourteen articles were retrieved initially, but only 12 articles were finally selected for the study. The CAOT was found to accelerate tooth movement by 2-2.5 folds when compared with conventional orthodontic tooth movement. The CAOT was found safe on periodontal health and exhibits no or little risk of root resorption. A localized turnover of alveolar spongiosa and the absence of a hyalinized zone was the acceptable biological explanation of CAOT. There is no evidence to support that CAOT enhances the movement of ankylosed teeth, closing old extraction sites, post-orthodontic stability, or transverse expansion. CONCLUSIONS: Corticotomy-assisted orthodontic treatment should be considered with caution. Long term randomized clinical trials are still needed.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".