Abstract
Background
Age estimation using dental radiography plays a critical role in forensic and legal contexts. This study aimed to perform a systematic review and meta-analysis to investigate the evidence-based support for various methods of age estimation using dental radiography in Brazilians and to evaluate the precision of these methods.
Main body
The search strategy was performed in 5 electronic databases and in gray literature for articles published until August 3th, 2024. Two independent reviewers performed data extraction and methodological quality using an adapted version of Newcastle − Ottawa Scale. To estimate the precision of different dental methods, the mean absolute error between the age estimated by dental methods and the chronological age was calculated. The mean difference between the two variables was used as the effect measure. The certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool. A total of 28 studies met the eligibility criteria. One study was rated 4 (low quality), 16 studies received scores between 5 and 6 (moderate quality), and 11 studies scored 7 or above (high quality). Fourteen studies were included in the meta-analysis, allowing the evaluation of different dental methods for age estimation in male and female individuals. All methods showed a mean error (expressed in mean difference in chronological age) of less than 2 years. For males, the mean error ranged from 0.2 to 1.75 years. For females, the mean error ranged from 0.01 to 1.27 years.
Conclusions
The methods tended to overestimate the actual chronological age. Significant limitations were found regarding the representativeness of the Brazilian population in the evaluated studies.
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Details
1 University of the Joinville Region, Joinville, Brazil
2 Fluminense Federal University, Niterói, Rio de Janeiro, Brazil (GRID:grid.411173.1) (ISNI:0000 0001 2184 6919)
3 Tuiuti University of Paraná, Curitiba, Brazil (GRID:grid.441736.3) (ISNI:0000 0001 0117 6639)
4 University of the Joinville Region, Joinville, Brazil (GRID:grid.441736.3)
5 University Hospital Bonn, Bonn, Germany (GRID:grid.15090.3d) (ISNI:0000 0000 8786 803X)





