Evidence map›Paper›PMID 39292274›Full record

ArticleInternational journal of legal medicine2025

A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year.

Nina Heldring, Ali-Reza Rezaie, André Larsson, Rebecca Gahn, Brita Zilg, Simon Camilleri, Antoine Saade, Philipp Wesp, Elias Palm, Ola Kvist

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In one paragraph

Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  10. Bone age and dental age to assess criminal responsibility: Part II.International journal of legal medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Nina HeldringDepartment of Forensic Medicine, Swedish National Board of Forensic Medicine, Retzius Väg 5, 171 65, Stockholm, Sweden. nina.heldring@rmv.se.ORCID http://orcid.org/0000-0001-9881-8182
Ali-Reza RezaieDepartment of Forensic Medicine, Swedish National Board of Forensic Medicine, Retzius Väg 5, 171 65, Stockholm, Sweden.
André LarssonPaindrainer, Medicon Village, 223 81, Lund, Sweden.
Rebecca GahnDepartment of Forensic Medicine, Swedish National Board of Forensic Medicine, Retzius Väg 5, 171 65, Stockholm, Sweden.
Brita ZilgDepartment of Forensic Medicine, Swedish National Board of Forensic Medicine, Retzius Väg 5, 171 65, Stockholm, Sweden.
Simon CamilleriFaculty of Dentistry, Oral and Craniofacial Sciences, Tower Wing, Guys' Hospital St Thomas Street, London, England.
Antoine SaadeDepartment of Orthodontics, Faculty of Dental Medicine, Lebanese University, Beirut, Lebanon.
Philipp WespDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Elias PalmDepartment of Forensic Medicine, Swedish National Board of Forensic Medicine, Retzius Väg 5, 171 65, Stockholm, Sweden.
Ola KvistPediatric Radiology Department, Karolinska University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age estimations are relevant for pre-trial detention, sentencing in criminal cases and as part of the evaluation in asylum processes to protect the rights and privileges of minors. No current method can determine an exact chronological age due to individual variations in biological development. This study seeks to develop a validated statistical model for estimating an age relative to key legal thresholds (15, 18, and 21 years) based on a skeletal (CT-clavicle, radiography-hand/wrist or MR-knee) and tooth (radiography-third molar) developmental stages. The whole model is based on 34 scientific studies, divided into examinations of the hand/wrist (15 studies), clavicle (5 studies), distal femur (4 studies), and third molars (10 studies). In total, data from approximately 27,000 individuals have been incorporated and the model has subsequently been validated with data from 5,000 individuals. The core framework of the model is built upon transition analysis and is further developed by a combination of a type of parametric bootstrapping and Bayesian theory. Validation of the model includes testing the models on independent datasets of individuals with known ages and shows a high precision with separate populations aligning closely with the model's predictions. The practical use of the complex statistical model requires a user-friendly tool to provide probabilities together with the margin of error. The assessment based on the model forms the medical component for the overall evaluation of an individual's age.

Indexed as

Age Determination by SkeletonAge Determination by TeethModels, StatisticalAdolescentBayes TheoremClavicleFemaleHumansMaleMolar, ThirdYoung AdultAge distributionBayesian theoremBiological variationForensic anthropologyPopulationValidation study

Identifiers

PMID39292274
PMCPMC11732925

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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.