Laboratory of Forensic Odontology, School of Forensic Science, National Forensic Sciences University, Gujarat, India.
Department of Pediatric Dentistry, Virginia Commonwealth University School of Dentistry, Richmond, VA, USA.
Int J Legal Med. 2022 Sep;136(5):1457-1467. doi: 10.1007/s00414-022-02830-0. Epub 2022 May 3.
The biochemical approach of dental age using aspartic acid racemization has been widely reported. The aim of this systematic review was to determine the reliability and accuracy of dental age estimation using aspartic acid racemization rate analysis.
Eight research databases (PubMed, Google Scholar, Embase, Cochrane, MEDLINE, TRIP, Web of Science, and Scopus) were utilised to gather and assess published literatures in compliance with the PRISMA 2020 guidelines and reported in PROSPERO (CRD42020208877). This systematic review and meta-analysis focused solely on cross-sectional studies. The quality evaluation was performed using the GRADE system. The standardized mean difference between estimated and chronological age was meta-analyzed using the random effects model.
The literature review yielded 213 studies, of which 26 were considered acceptable for inclusion in this report. Out of 26 studies, 19 presented sufficient evidence for meta-analysis and the remaining 7 were used to construct a qualitative review. According to the meta-analysis, premolar-related studies had the least variability (Tau = 0.23; I = 72%) among other tooth groups.
A substantial degree of heterogeneity was found in every type of tooth. Only the premolar teeth had lower degree variability; thus, it is safe to believe that the premolar tooth is the best for this type of age estimation. It is recommended to develop population-specific mathematical equations to improve the accuracy of this age estimation approach.
使用天冬氨酸外消旋化的生化方法来评估牙龄已经被广泛报道。本系统评价的目的是确定使用天冬氨酸外消旋率分析来评估牙龄的可靠性和准确性。
本研究使用 8 个研究数据库(PubMed、Google Scholar、Embase、Cochrane、MEDLINE、TRIP、Web of Science 和 Scopus),按照 PRISMA 2020 指南进行文献收集和评估,并在 PROSPERO(CRD42020208877)中进行报告。本系统评价和荟萃分析仅关注横断面研究。使用 GRADE 系统进行质量评估。使用随机效应模型对估计年龄与实际年龄之间的标准化均数差异进行荟萃分析。
文献综述共检索到 213 篇研究,其中 26 篇被认为符合纳入标准。在这 26 篇研究中,有 19 篇提供了足够的证据进行荟萃分析,其余 7 篇用于进行定性综述。根据荟萃分析结果,与其他牙齿组相比,前磨牙相关研究的变异性最小(Tau=0.23;I=72%)。
每种牙齿类型都存在较大的异质性。只有前磨牙的变异性较小;因此,可以认为前磨牙是进行这种年龄估计的最佳选择。建议开发特定人群的数学方程,以提高这种年龄估计方法的准确性。