ArticleInternational journal of legal medicine2015
Forensic age estimation by the Schmeling method: computed tomography analysis of the medial clavicular epiphysis.
Article in International journal of legal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Forensic age estimation using computed tomography of the medial clavicular epiphysis: a systematic review.International journal of legal medicine · 2018Pooled it
- Forensic age estimation of adolescents using computed tomography of the clavicles.International journal of legal medicine · 2024Article
- Postmortem computed tomography assessment of skeletal and dental age in Polish children, adolescents, and young adults.Forensic science, medicine, and pathology · 2024Article
- Age Estimation Based on Computed Tomography Analysis of the Scapula.Medicina (Kaunas, Lithuania) · 2024Article
- Machine learning and deep learning enabled age estimation on medial clavicle CT images.International journal of legal medicine · 2024Article
- Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.PloS one · 2024Article
- Age Estimation in Sportspersons From the Epiphyseal Fusion Around Wrist, Elbow, and Pelvic Joints.Cureus · 2023Article
- Article
- Minor migrants' age estimation: Comparison of two dental methods.Forensic science international. Synergy · 2021Article
- The influence of motion artefacts on magnetic resonance imaging of the clavicles for age estimation.International journal of legal medicine · 2020Article
- Magnetic resonance imaging of the proximal tibial epiphysis: could it be helpful in forensic age estimation?Forensic science, medicine, and pathology · 2019Article
- Anatomic shape variants of extremitas sternalis claviculae as collected from sternoclavicular thin-slice CT-studies of 2820 male borderline-adults.International journal of legal medicine · 2019Article
- Forensic age diagnostics by magnetic resonance imaging of the proximal humeral epiphysis.International journal of legal medicine · 2019Article
- Estimation of age in forensic anthropology: historical perspective and recent methodological advances.Forensic sciences research · 2019Review
- Intraindividual incongruences of medially ossifying clavicles in borderline adults as seen from thin-slice CT studies of 2595 male persons.International journal of legal medicine · 2018Article
- Comparison of imaging planes during CT-based evaluation of clavicular ossification: a multi-center study.International journal of legal medicine · 2017Article
- Bone age estimation based on multislice computed tomography study of the scapula.International journal of legal medicine · 2017Article
- Systematic procedure for identifying the five main ossification stages of the medial clavicular epiphysis using computed tomography: a practical proposal for forensic age diagnostics.International journal of legal medicine · 2017Article
- The completely fused medial clavicular epiphysis in high-frequency ultrasound scans as a diagnostic criterion for forensic age estimations in the living.International journal of legal medicine · 2016Article
- Evaluation of age estimation in forensic medicine by examination of medial clavicular ossification from thin-slice computed tomography images.International journal of legal medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The variability of anthropometric measures, such as the degree of ossification, among societies should be taken into account when estimating age. The degree of ossification of the medial clavicle can be determined with thin-section computed tomography (CT), which is one of the methods recommended by the Study Group on Forensic Age Diagnostics of the German Association of Forensic Medicine. The purpose of this retrospective study was to investigate the applicability of thin-section CT analysis of the degree of ossification of the medial clavicle in a Turkish population. We evaluated the CT images (1-mm slice thickness) of 503 patients (362 male, 141 female; age, 10-35 years) using the Schmeling five-stage method. The Spearman's correlation analysis revealed a positive correlation between age and ossification stage in both male and female patients (total group: rho = 0.838, p < 0.001; male: rho = 0.831, p < 0.001; female: rho = 0.856, p < 0.001). The linear regression analysis results indicated that the ossification stage of the medial clavicle is a good predictor when estimating age (r (2) = 0.735 for all patients, 0.734 for male patients, 0.741 for female patients). Sex differences in ossification stages were observed only for stage 1 and 4 ossification. We believe that future research could expand the database on this topic and contribute to improvements in this measurement method.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.