固定正畸治疗前后前磨牙拔除对男女牙龈显示指数的影响。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Mohammad Mousavi, Pari Saeidi, Parisa Kazemi, Vahid Rakhshan
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引用次数: 0

摘要

修复黏糊糊的笑容是一项至关重要的美学治疗。目前尚不清楚正畸治疗的方式(即拔除前磨牙与不拔除前磨牙)是否会影响牙龈显示的程度。关于这个话题的文献很少。因此,我们进行了为期2年的回顾性研究。这项回顾性队列研究对234例患者进行了468次观察。在1.5 ~ 2年的时间里,对234例患者进行了22-MBT侧施固定正畸治疗。其中,117名患者采用拔牙治疗方案,117名患者采用非拔牙治疗方案。在正畸治疗开始前和治疗结束后,对患者的牙龈显示进行了测量。牙龈显示指数计算为牙龈与牙齿高度之比。它是通过测量每颗上颌前牙的牙龈外观的范围来计算的,将这六项测量结果平均,并将这个平均外观除以右上颌中央的临床高度。采用重复测量的双向方差分析和配对和非配对t检验(α = 0.05, α = 0.025)对这些值进行分析。提取组56只,未提取组59只(χ 2, P = 0.794)。未拔牙组牙龈显示指数从50.2下降到39.7% (P = 0.0000,配对t检验),拔牙组牙龈显示指数从20.1上升到26.8% (P = 0.0371, t检验)。重复测量的双向方差分析显示,治疗方式(非拔牙组牙龈显示更大,P = 0.000)和性别(女性牙龈显示更大,P = 0.001)的影响是显著的。不同性别治疗的相互作用有显著性意义(P = 0.045)。由于治疗类型与重复测量因子“时间”的相互作用显著(P = 0.0000),该测试检测到两种治疗的不同效果。然而,重复测量因子“时间”与性别的交互作用不显著(P = 0.587)。治疗时间与性别的交互作用显著(P = 0.034)。前磨牙拔除可使牙龈显示指数提高约7%,而不拔除可使牙龈显示率降低约11%。与男性相比,女性的牙龈显示指数(治疗前后)的百分比更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impact of fixed orthodontic treatment with and without premolar extraction on gingival display index in men and women.

Impact of fixed orthodontic treatment with and without premolar extraction on gingival display index in men and women.

Impact of fixed orthodontic treatment with and without premolar extraction on gingival display index in men and women.

Impact of fixed orthodontic treatment with and without premolar extraction on gingival display index in men and women.

Fixing a gummy smile is a crucial esthetic treatment. It is unclear if the modality of orthodontic treatment (i.e., premolar extraction versus non-extraction) can affect the extent of gingival show. There is a lack of literature on this topic. Therefore, this retrospective 2-year study was conducted. This retrospective cohort study was performed on 468 observations of 234 patients. Fixed orthodontic treatment of 234 patients was performed using 22-MBT edgewise applications during a period of 1.5 to 2 years. Of these, 117 patients had extraction treatment protocols and 117 had non-extraction ones. Gingival displays of patients were measured on their smile photographs, once before beginning the orthodontic treatment and once after finishing the treatment. The index of gingival display was calculated as the ratio of the gingiva-to-tooth heights. It was calculated by measuring the extent of gingival appearance of each maxillary anterior tooth, averaging these six measurements, and dividing this average appearance by the clinical height of the right maxillary central. These values were analyzed using repeated-measures two-way ANOVA and paired and unpaired t-tests (α = 0.05, α = 0.025). There were 56 and 59 females in the extraction and non-extraction groups, respectively (chi-square, P = 0.794). In the non-extraction group, Gingival Show Index reduced from 50.2 to 39.7% (P = 0.0000, paired t-test), while in the extraction group, it increased from 20.1 to 26.8% (P = 0.0371, t-test). The repeated-measures two-way ANOVA showed that the effects of treatment modalities (non-extraction group showing greater gingival display, P = 0.000) and sexes (women showing greater gingival displays, P = 0.001) were significant. The interaction of treatment by sex was significant (P = 0.045). The test detected different effects for both treatment, since the interaction of treatment type with the repeated-measures factor 'time' was significant (P = 0.0000). However, the interaction of the repeated-measures factor 'time' with gender was not significant (P = 0.587). The interaction of the factors 'time by treatment by sex' was significant (P = 0.034). Premolar extraction can increase the gingival display index for about 7%, while non-extraction treatment can reduce gingival show ratio for about 11%. Women have a greater percent of gingival display index (both before and after the treatment) compared to men.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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