Evidence map›Paper›PMID 33506297›Full record

ArticleInternational journal of legal medicine2021

Forensic age estimation based on fast spin-echo proton density (FSE PD)-weighted MRI of the distal radial epiphysis.

Oguzhan Ekizoglu, Ali Er, Mustafa Bozdag, Negahnaz Moghaddam, Silke Grabherr

Open access · hybridAbstract read
In one paragraph

Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
11.3field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Oguzhan EkizogluDepartment of Forensic Medicine, Tepecik Training and Research Hospital, Güney mahallesi 1140/1 Yenisehir - Konak, Izmir, Turkey. drekizoglu@gmail.com.ORCID http://orcid.org/0000-0002-0194-595X
Ali ErDepartment of Radiology, Tepecik Training and Research Hospital, Izmir, Turkey.
Mustafa BozdagDepartment of Radiology, Tepecik Training and Research Hospital, Izmir, Turkey.
Negahnaz MoghaddamUnit of Forensic Imaging and Anthropology, University Center of Legal Medicine Lausanne-Geneva, Lausanne, Switzerland.
Silke GrabherrUniversity Center of Legal Medicine Lausanne-Geneva, Lausanne, Switzerland.
University Centre of Legal Medicine · CHYenişehir Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation exposure is a crucial factor to consider in forensic age estimation. The various magnetic resonance imaging (MRI) modalities used in forensic age estimation avoid radiation exposure. This study examined the reliability of distal radius ossification using fast spin-echo proton density (FSE PD)-weighted MRI to estimate age. Left wrist MRI findings of 532 patients aged 10-29 years were evaluated retrospectively using the five-stage system of Dedouit et al. The intra- and interobserver reliability values were κ = 0.906 and 0.869, respectively. Based on the results, the respective minimum ages estimated for stages 4 and 5 were 13.4 and 16.1 years for females, and 15.1 and 17.3 years for males; the method could not estimate an age of 18 years in any case. FSE PD MRI analysis of the distal radius epiphysis provides supportive data and can be used when evaluating the distal radius for forensic age estimation.

Indexed as

OsteogenesisAdolescentAdultAge Determination by SkeletonChildEpiphysesFemaleHumansMagnetic Resonance ImagingMaleRadiusRetrospective StudiesWristYoung AdultAge determination from skeletonsForensic anthropologyForensic medicineMagnetic resonance imagingRadius

Identifiers

PMID33506297
PMCPMC8205877
OpenAlexW3124687849

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.