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Evaluation of data collection bias of third molar stages of mineralisation for age estimation in the living

2024Journal article Open access
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dc.contributor.authorde Oliveira Santos, Inês
dc.contributor.authorBaptista, Isabel Poiares
dc.contributor.authorda Silva, Ricardo Henrique Alves
dc.contributor.authorCunha, E
dc.date.accessioned2024-08-06T09:59:16Z
dc.date.available2024-08-06T09:59:16Z
dc.date.issued2024
dc.description.abstractAge assessment of the living is a fundamental procedure in the process of human identification, in order to guarantee fair treatment of individuals, which has ethical, civil, legal, and medical repercussions. The careful selection of the appropriate methods requires evaluation of several parameters: accuracy, precision of the method, as well as its reproducibility. The approach proposed by Mincer et al. adapted from Demirjian et al. exploring third molar mineralisation, is one of the most frequently considered for age estimation of the living. Thus, this work aims to assess potential bias in the data collection when applying the classification stages for dental mineralisation adapted by Mincer et al. A total of 102 orthopantomographs, of clinical origin, belonging to individuals aged between 12 and 25 years (⁠ = 20.12 years, SD = 3.49 years; 65 females, 37 males, all of Portuguese nationality) were included and a retrospective analysis performed by five observers with different levels of experience (high, average, and basic). The performance and agreement between five observers were evaluated using Weighted Cohen’s Kappa and the Intraclass Correlation Coefficient. To access the influence of impaction on third molar classification, variables were tested using ordinal logistic regression Generalised Linear Model. It was observed that there were variations in the number of teeth identified among the observers, but the agreement levels ranged from moderate to substantial (0.4–0.8). Upon closer examination of the results, it was observed that although there were discernible differences between highly experienced observers and those with less experience, the gap was not as significant as initially hypothesised, and a greater disparity between the classifications of the upper (0.24–0.49) and lower third molars (>0.55) was observed. When bone superimposition is present, the classification process is not significantly influenced; however, variation in teeth angulation affects the assessment. The results suggest that with an efficient preparation, the level of experience as a factor can be overcome. Mincer and colleague's classification system can be replicated with ease and consistency, even though the classification of upper and lower third molars presents distinct challenges.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationde Oliveira Santos, I., Baptista, I. P., da Silva, R. H. A., & Cunha, E. (2024). Evaluation of data collection bias of third molar stages of mineralisation for age estimation in the living. Forensic sciences research, 9(2)pt_PT
dc.identifier.doi10.1093/fsr/owae004pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/51492
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherOxfordpt_PT
dc.relationCentre for Functional Ecology - Science for People & the Planet
dc.relationO terceiro molar como indicador para a maioridade: análise retrospetiva entre populações
dc.relation.publisherversionhttps://academic.oup.com/fsr/article/9/2/owae004/7571408pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectForensic Anthropologypt_PT
dc.subjectAge assessmentpt_PT
dc.subjectDental agept_PT
dc.subjectMincerpt_PT
dc.subjectInter-rater reliabilitypt_PT
dc.titleEvaluation of data collection bias of third molar stages of mineralisation for age estimation in the livingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Functional Ecology - Science for People & the Planet
oaire.awardTitleO terceiro molar como indicador para a maioridade: análise retrospetiva entre populações
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04004%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F139158%2F2018/PT
oaire.citation.issue2pt_PT
oaire.citation.titleForensic Sciences Researchpt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCunha
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id190305008042
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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