背景:牙齿是具有高硬度的生物结构,密度,钙化,以及适应身体外在因素的能力,生物,和生理水平。随后,他们在不断恶化的环境条件下抵抗了更长的时间。通过牙科分析,有可能获得一个人的传记数据。这项范围审查的目的是确定使用人类牙齿组织来估计性二态性的出版物。
方法:范围审查在以下数据库中进行:Jstor,Scielo,科学直接,PubMed,还有Scopus,使用十种英文搜索策略,并保证PRISMA指南中规定的阶段的完整性和可重复性。
结果:纳入了143项基于牙齿组织特征的性二态性研究,其中40.6%(n=58)在亚洲,27.2%(n=39)在美国。80%的研究(相当于114篇文章)将他们的观察和测量集中在牙冠上;4.2%的牙釉质,牙本质,和牙髓一起;牙髓占3.5%;整个牙齿占2.1%;牙釉质占2.8%,根,和牙釉质-牙骨质交界处,牙本质和牙髓中只有0.7%。此外,92.3%的研究使用度量方法,而分别只有4.9%和2.8%使用生化法和非计量法。
结论:对于性二态建立,牙釉质主要是永久性犬齿和磨牙中分析最多的牙齿组织。同样,为此,使用最广泛和最准确的方法是度量,以牙齿测量法为最多的实施方法(口内或使用牙膏药模型,数字扫描或软件),预测百分比从51%到95.9%。与生化方法相反,可以达到最高精度(高达100%),非计量方法,在较小程度上,报告的预测百分比为58%。
BACKGROUND: Teeth are biological structures with a high degree of hardness, density, calcification, and capacity to adapt to extrinsic factors at physical, biological, and physiological levels. Subsequently, they resist for a longer period in deteriorating environmental conditions. With dental analysis, it is possible to acquire biographical data about a person. The aim of this scoping review was to identify publications using human teeth tissues to estimate sexual dimorphism.
METHODS: The scoping review was carried out in the following databases: Jstor, Scielo, Science Direct, PubMed, and Scopus, using ten search strategies in English and guaranteeing completeness and reproducibility of the phases stipulated in the PRISMA guide.
RESULTS: 143 studies on sexual dimorphism based on dental tissue traits were included, of which 40.6% (n = 58) were done in Asia and 27.2% (n = 39) in America. 80% of the studies (equivalent to 114 articles) focused their observations and measurements on the dental crown; 4.2% in enamel, dentin, and pulp together; 3.5% in dental pulp; 2.1% in the entire tooth; 2.8% in enamel, root, and the enamel-cementum junction, and only 0.7% in dentin and pulp. In addition, 92.3% of the studies used metric methods, while only 4.9% and 2.8% used biochemical and non-metric method respectively.
CONCLUSIONS: For sexual dimorphism establishment, enamel has been the most analyzed dental tissue in permanent canines and molars mainly. Likewise, the most widely and accurately used methods for this purpose are the metrics, with the
odontometry as the most implemented (intraoral or by using dental plaster models, digital scanning or software) with prediction percentages ranging from 51% to 95.9%. In contrast to biochemical methods, that can achieve the highest precision (up to 100%), the non-metric methods, to a less extent, reported prediction percentages of 58%.