Evidence map›Paper›PMID 27352083›Full record

ArticleInternational journal of legal medicine2016

Evaluation of age estimation in forensic medicine by examination of medial clavicular ossification from thin-slice computed tomography images.

Murat Serdar Gurses, Nursel Turkmen Inanir, Gokhan Gokalp, Recep Fedakar, Eren Tobcu, Gokhan Ocakoglu

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Article in International journal of legal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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14citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. State of the art in post-mortem computed tomography: a review of current literature.Virchows Archiv : an international journal of pathology · 2019
    Review
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Murat Serdar GursesTunceli Branch Office, Council of Forensic Medicine, Tunceli, Turkey. muratserdargurses@gmail.com.
Nursel Turkmen InanirDepartment of Forensic Medicine, Faculty of Medicine, Uludag University, Bursa, Turkey.
Gokhan GokalpDepartment of Radiology, Faculty of Medicine, Uludag University, Bursa, Turkey.
Recep FedakarDepartment of Forensic Medicine, Faculty of Medicine, Uludag University, Bursa, Turkey.
Eren TobcuDepartment of Radiology, Faculty of Medicine, Uludag University, Bursa, Turkey.
Gokhan OcakogluDepartment of Biostatistics, Faculty of Medicine, Uludag University, Bursa, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic age estimation, a recent topic of research in forensic medicine, is of primary importance to criminal and civil law. Previous studies indicate that the observation of medial clavicular ossification allows for age discrimination along the completed 18th and 21st years of life. Experts recommend that the Schmeling and Kellinghaus methods be used together. In this study, we used these staging methods to retrospectively analyze 725 case studies (385 males, 340 females) of thin-slice computed tomography (CT) images, ranging from 0.6 to 1 mm in thickness, from individuals aged 10 to 35 years. Stage 1 was found at 18 years of age maximum for males, whereas it was found at 17 years of age for females. Stage 2a was found at 18 years of age maximum for both genders. Stage 3c was initially observed at 18 years for both genders. Stage 4 was initially found at 21 years for males and 20 years for females. Stage 5 was initially observed at 25 years for both genders. Of note, stage 3c was found close to 19 years of age for both genders (18.92 years for male, 18.99 years for female), and it may be employed to differentiate along the age majority cutoff. The data obtained from our study were consistent with previous studies. We believe that such a comprehensive database will greatly contribute to future studies focusing on medial clavicular ossification based on thin-slice CT. Moreover, we also recommend that if medial clavicular ossification based on CT is to be examined for forensic age estimation, both methods should be employed together.

Indexed as

OsteogenesisAdolescentAdultAge Determination by SkeletonChildClavicleFemaleForensic AnthropologyHumansMaleMultidetector Computed TomographyYoung AdultClavicleComputed tomographyForensic age estimationKellinghaus methodSchmeling method

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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.