SynthesisClinical oral investigations2024
Efficacy of low-intensity pulsed ultrasound in orthodontic tooth movement and orthodontically induced root resorption in animal and human studies: a systematic review and meta-analysis.
Synthesis in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy of low-intensity pulsed ultrasound in orthodontic tooth movement and pain perception in human studies: a systematic review and meta-analysis.BMC oral health · 2026Pooled it
- Incidence and predictors of root resorption after delayed replantation of permanent teeth.Acta odontologica Scandinavica · 2026Article
- Selective modulation of the bone remodeling regulatory system through orthodontic tooth movement-a review.Frontiers in oral health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesTo evaluate the efficacy of low-intensity pulsed ultrasound (LIPUS) in orthodontic tooth movement (OTM) and orthodontically induced root resorption (OIRR) across animal and human studies. MATERIALS AND
methodsAn electronic search in MEDLINE, Embase, Web of Science, Cochrane Library, National Knowledge Infrastructure, and Wanfang Database up to May 2024 identified 931 records screened using predefined PICOS criteria. 18 animal and 8 human studies met the inclusion criteria, with 12 suitable for meta-analysis. Methodological qualities for animal studies were assessed using the SYRCLE tool and ARRIVE guidelines. For clinical trials, the Cochrane RoB 2.0 tool and ROBINS-I were applied to evaluate the risk of bias in randomized clinical trials (RCTs) and controlled clinical trials (CCTs), respectively. Evidence quality was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach, and quantitative analysis employed RevMan software with an inverse variance method and random effects models for all included studies.
resultsMost animal and human studies had a high or unclear risk of bias. LIPUS significantly accelerated OTM in rats, showing increases of 0.08 mm (95% CI, 0.02 to 0.13; P = 0.006), 0.11 mm (95% CI, 0.04 to 0.17; P = 0.001), and 0.11 mm (95% CI, 0.06 to 0.16; P < 0.0001) on days 5, 7, and 14. In clinical trials, LIPUS reduced treatment duration with clear aligners by 352.07 days (95% CI, -524.81 to -179.34; P < 0.0001), but had no significant effect on OIRR (P > 0.05). GRADE analysis indicated very low evidence quality for both outcomes.
conclusionsLIPUS may accelerate OTM but shows weak evidence for alleviating OIRR. More well-designed studies with standardized methodology are needed. CLINICAL RELEVANCE: LIPUS could benefit OTM acceleration, but its effect on OIRR remains inconclusive.
Indexed as
Identifiers
39653803What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.