Ana Carolina de Figueiredo Costa1, Thays Allane Cordeiro Maia2, Paulo Goberlânio de Barros Silva2, Lucas Guimarães Abreu3, Delane Viana Gondim2,4, Pedro César Fernandes Santos2. 1. Department of Clinical Dentistry, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Monsenhor Furtado Street, Rodolfo Teófilo, Fortaleza, Ceará, 60430-350, Brazil. carolinafigueired@gmail.com. 2. Department of Clinical Dentistry, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Monsenhor Furtado Street, Rodolfo Teófilo, Fortaleza, Ceará, 60430-350, Brazil. 3. Department of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. 4. Department of Morphology, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil.
Abstract
OBJECTIVES: The aim of this systematic review and meta-analysis was to assess the effects of low-level laser therapy (LLLT) on the orthodontic mini-implants (OMI) stability. MATERIALS AND METHODS: An unrestricted electronic database search in PubMed, Science Direct, Embase, Scopus, Web of Science, Cochrane Library, LILACS, Google Scholar, and ClinicalTrials.gov and a hand search were performed up to December 2020. Randomized clinical trials (RCTs) or non-randomized clinical trials (Non-RCTs) that assessed the effects of LLLT on the OMI stability were included. Data regarding the general information, LLLT characteristics, and outcomes were extracted. The authors performed risk of bias assessment with Cochrane Collaboration's or ROBINS-I tool. Meta-analysis was also conducted. RESULTS: Five RCTs and one Non-RCT were included and 108 patients were evaluated. The LLLT characteristics presented different wavelength, power, energy density, irradiation time, and protocol duration. Five RCTs had a low risk of selection bias. Two RCTs had a low risk of performance and detection bias. All RCTs had a low risk of attrition bias, reporting bias and other bias. The Non-RCT presented a low risk of bias for all criteria, except for the bias in selection of participants. The meta-analysis revealed that LLLT significantly increased the OMI stability (p < 0.001, Cohen's d = 0.67) and the highest clinical benefit was showed after 1 (p < 0.001, Cohen's d = 0.75), 2 (p < 0.001, Cohen's d = 1.21), and 3 (p < 0.001, Cohen's d = 1.51) months of OMI placement. CONCLUSIONS: LLLT shows positive effects on the OMI stability.
OBJECTIVES: The aim of this systematic review and meta-analysis was to assess the effects of low-level laser therapy (LLLT) on the orthodontic mini-implants (OMI) stability. MATERIALS AND METHODS: An unrestricted electronic database search in PubMed, Science Direct, Embase, Scopus, Web of Science, Cochrane Library, LILACS, Google Scholar, and ClinicalTrials.gov and a hand search were performed up to December 2020. Randomized clinical trials (RCTs) or non-randomized clinical trials (Non-RCTs) that assessed the effects of LLLT on the OMI stability were included. Data regarding the general information, LLLT characteristics, and outcomes were extracted. The authors performed risk of bias assessment with Cochrane Collaboration's or ROBINS-I tool. Meta-analysis was also conducted. RESULTS: Five RCTs and one Non-RCT were included and 108 patients were evaluated. The LLLT characteristics presented different wavelength, power, energy density, irradiation time, and protocol duration. Five RCTs had a low risk of selection bias. Two RCTs had a low risk of performance and detection bias. All RCTs had a low risk of attrition bias, reporting bias and other bias. The Non-RCT presented a low risk of bias for all criteria, except for the bias in selection of participants. The meta-analysis revealed that LLLT significantly increased the OMI stability (p < 0.001, Cohen's d = 0.67) and the highest clinical benefit was showed after 1 (p < 0.001, Cohen's d = 0.75), 2 (p < 0.001, Cohen's d = 1.21), and 3 (p < 0.001, Cohen's d = 1.51) months of OMI placement. CONCLUSIONS: LLLT shows positive effects on the OMI stability.
Authors: Ji Bian; Ann Liebert; Brian Bicknell; Xin-Ming Chen; Chunling Huang; Carol A Pollock Journal: Int J Mol Sci Date: 2022-07-21 Impact factor: 6.208