Evidence map›Paper›PMID 32940842›Full record

ArticleInternational journal of legal medicine2020

Forensic sex estimation using the vertebrae: an evaluation on two European populations.

Nefeli Garoufi, Andreas Bertsatos, Maria-Eleni Chovalopoulou, Chiara Villa

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Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
23.2field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 27 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

4 authors at 3 institutions in 3 countries.

Nefeli GaroufiDepartment of Animal and Human Physiology, Faculty of Biology, School of Sciences, University of Athens, Panepistimiopolis, GR 157 01, Athens, Greece. nefeligaroufi@gmail.com.ORCID http://orcid.org/0000-0002-4293-8991
Andreas BertsatosDepartment of Animal and Human Physiology, Faculty of Biology, School of Sciences, University of Athens, Panepistimiopolis, GR 157 01, Athens, Greece.
Maria-Eleni ChovalopoulouDepartment of Animal and Human Physiology, Faculty of Biology, School of Sciences, University of Athens, Panepistimiopolis, GR 157 01, Athens, Greece.
Chiara VillaLaboratory of Advanced Imaging and 3D Modelling Section of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark.
National and Kapodistrian University of Athens · GRCyprus Institute · CYUniversity of Copenhagen · DK

Funding

State Scholarships Foundation 7034/2019
6 · The paper itself

Abstract

Sex estimation is one of the primary steps for constructing the biological profile of skeletal remains leading to their identification in the forensic context. While the pelvis is the most sex diagnostic bone, the cranium and other post-cranial elements have been extensively studied. Earlier research has also focused on the vertebral column with varying results regarding its sex classification accuracy as well as the underlying population specificity. The present study focuses on three easily identifiable vertebrae, namely T1, T12, and L1, and utilizes two modern European populations, a Greek and a Danish, to evaluate their forensic utility in sex identification. To this end, 865 vertebrae from 339 individuals have been analyzed for sexual dimorphism by further evaluating the effects of age-at-death and population affinity on its expression. Our results show that T1 is the best sex diagnostic vertebra for both populations reaching cross-validated accuracy of almost 90%, while age-at-death has limited effect on its sexual dimorphism. On the contrary, T12 and L1 produced varying results ranging from 75 to 83% accuracy with the Greek population exhibiting distinctively more pronounced sexual dimorphism. Additionally, age-at-death had significant effect on sexual dimorphism of T12 and L1 and especially in the Greek female and Danish male groups. Our results on inter-population comparison suggest that vertebral sex discriminant functions, and especially those utilizing multiple measurements, are highly population specific and optimally suitable only for their targeted population. An open-source software tool to facilitate classifying new cases based on our results is made freely available to forensic researchers.

Indexed as

Sex CharacteristicsAdultAgedAged, 80 and overDenmarkDiscriminant AnalysisEthnicityFemaleGreeceHumansLumbar VertebraeMaleMiddle AgedSex Determination by SkeletonSoftwareThoracic VertebraeDanish populationGreek populationLumbar vertebraPopulation specificitySex estimationThoracic vertebrae

Identifiers

PMID32940842
OpenAlexW3086987754

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.