Evidence map›Paper›PMID 42056565›Full record

ArticleInternational journal of legal medicine2026

Dental age assessment: A proposal for refining and extending the Demirjian stages for third molar mineralization evaluation.

Maximilian Timme, Andreas Olze, Julian Wirtz, Sven Schmidt, Andreas Schmeling

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Maximilian TimmeInstitute of Legal Medicine, University Hospital Muenster, Röntgenstraße 23, 48149, Münster, Germany. maximilian.timme@ukmuenster.de.ORCID http://orcid.org/0000-0002-7717-3378
Andreas OlzeInstitute of Legal Medicine, Charité-Universitätsmedizin, Turmstraße 21, 10559, Berlin, Germany.
Julian WirtzInstitute of Legal Medicine, University Hospital Muenster, Röntgenstraße 23, 48149, Münster, Germany.ORCID http://orcid.org/0009-0005-1406-785X
Sven SchmidtInstitute of Legal Medicine, University Hospital Muenster, Röntgenstraße 23, 48149, Münster, Germany.
Andreas SchmelingInstitute of Legal Medicine, University Hospital Muenster, Röntgenstraße 23, 48149, Münster, Germany.ORCID http://orcid.org/0000-0002-0135-1617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental methods are now an integral component of forensic age assessment procedures. The stage classification for evaluating the mineralization of third molars in radiographs, as originally proposed by Demirjian et al. (1973), is well-established for this purpose. In practice, a modified version of this classification, based on the work of Mincer et al. (1993), is commonly employed. However, the verbal definitions of the stages exhibit notable inconsistencies. This method paper introduces a revised stage classification. Specifically, the stage definitions have been clarified, and the guidelines for applying the classification have been updated to align with the digital age. Additionally, new schematic illustrations are provided. These modifications aim to improve the reliability of the classification's application. In a second approach, four new intermediate stages-some of which have been previously proposed by other researchers-have been incorporated into the classification. The inclusion of these additional stages seeks to enhance the accuracy of age estimation. Whether the modified stages and the newly introduced intermediate stages provide significant added value will need to be determined through future studies.

Indexed as

Age Determination by TeethMolar, ThirdTooth CalcificationCone-Beam Computed TomographyForensic DentistryHumansRadiography, PanoramicAge estimationCBCTDental ageMincerOrthopantomogram

Identifiers

PMID42056565
PMCPMC13499860

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.