Effect of supplemental vibration on tooth movement and treatment time with clear aligners. A systematic review and meta-analysis
Bibliographic record
Abstract
Aim: The aim of this systematic review and meta-analysis was to evaluate the effect of supplemental vibrational force on tooth movement and treatment duration in patients undergoing treatment with clear aligners. Material and Methods: Electronic searches were carried out without any restriction in PubMed, the Cochrane Library, the Directory of Open Access Journals, LILACS, and Google Scholar. The revised Cochrane risk of bias tool (RoB 2.0) for randomized controlled trials, the Risk of Bias in Nonrandomized Studies of Intervention (ROBINS-I) tool for prospective studies, and the Newcastle-Ottawa Scale for retrospective studies were used. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to assess the quality of evidence. Random effects meta-analysis with standardized mean difference (SMD) was carried out using Review Manager software (Revman 5.4). Results: Ten studies met the inclusion criteria for this systematic review. While some studies reported a reduction in aligner change intervals and improved tracking, the overall clinical impact on treatment duration was limited. Meta-analysis demonstrated a statistically significant decrease in aligner exchange rate with the use of supplemental vibration (SMD = -2.36; 95% CI: -4.52 to -0.21; p = 0.03), although no consistent improvement in final tooth alignment or total treatment time was observed. Conclusion: There is limited evidence on the effect of supplemental vibration of aligners. The meta-analysis indicates that while supplemental vibration may significantly reduce the aligner exchange rate, it does not result in a statistically significant improvement in incisor alignment or reduction in the total number of aligners required for treatment completion. These findings suggest limited clinical benefit of vibrational force in enhancing overall treatment efficiency with clear aligners. KEYWORDS Acceleration; Clear aligner; Orthodontic appliances; Tooth movement; Vibration.
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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 | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.045 |
| Bibliometrics | 0.006 | 0.005 |
| 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) | 0.003 | 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".