A systematic review and meta-analysis of the fully formed wisdom tooth as a radiological marker of adulthood.


Journal

International journal of legal medicine
ISSN: 1437-1596
Titre abrégé: Int J Legal Med
Pays: Germany
ID NLM: 9101456

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 20 11 2017
accepted: 04 04 2018
pubmed: 11 5 2018
medline: 6 3 2019
entrez: 11 5 2018
Statut: ppublish

Résumé

Assessment of third molar development on dental radiograms is one of the most commonly used methods of forensic age estimation. Despite widespread use and numerous studies, there is a paucity of aggregated data on how well a fully mature third molar identifies adulthood (> 18 years), the most important threshold in a medicolegal context. Therefore, a systematic review and meta-analysis was conducted. A total of 1229 studies were screened, and 82 studies were assessed for inclusion. Twenty-four studies, with a pooled cohort of 19,690 individuals, presented true positive (TP), true negative (TN), false positive (FP), and false negative (FN) outcomes, enabling meta-analysis. The outcomes were based on using the third molar in the fully mature stage as a diagnostic test to indicate age 18 years or above. The false positive rate (fall-out/1-specificity) was 3.1% (95% CI 2.1-4.6%), and the true positive rate (recall/sensitivity) was 51% (95% CI 44-58%). Diagnostic accuracy was 71%. These findings, while reassuring in terms of the low false positive rate, highlight the need for complementary age estimation methods to avoid a significant number of false negatives.

Identifiants

pubmed: 29744586
doi: 10.1007/s00414-018-1842-4
pii: 10.1007/s00414-018-1842-4
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

231-239

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Auteurs

Mattias Haglund (M)

Landskrona Hospital, Vattenverksallén, S-261 36, Landskrona, Sweden. mattias.haglund@skane.se.

Håkan Mörnstad (H)

FORODONT HB, Ängalagsvägen 419, S-269 95, Båstad, Sweden.

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Classifications MeSH