Evidence map›Paper›PMID 29797281›Full record

ArticleInternational journal of legal medicine2019

Postcraniometric sex and ancestry estimation in South Africa: a validation study.

Leandi Liebenberg, Gabriele C Krüger, Ericka N L'Abbé, Kyra E Stull

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
14.3field-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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Ancestry estimation: Methodological evolution and forensic implications.Forensic science, medicine, and pathology · 2026
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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 2 institutions in 2 countries.

Leandi LiebenbergDepartment of Anatomy, University of Pretoria, Private Bag x323, Arcadia, Pretoria, 0007, South Africa. leandi.liebenberg@up.ac.za.ORCID http://orcid.org/0000-0003-4310-5489
Gabriele C KrügerDepartment of Anatomy, University of Pretoria, Private Bag x323, Arcadia, Pretoria, 0007, South Africa.
Ericka N L'AbbéDepartment of Anatomy, University of Pretoria, Private Bag x323, Arcadia, Pretoria, 0007, South Africa.
Kyra E StullDepartment of Anatomy, University of Pretoria, Private Bag x323, Arcadia, Pretoria, 0007, South Africa.
University of Pretoria · ZAUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the acceptance of the Daubert criteria as the standards for best practice in forensic anthropological research, more emphasis is being placed on the validation of published methods. Methods, both traditional and novel, need to be validated, adjusted, and refined for optimal performance within forensic anthropological analyses. Recently, a custom postcranial database of modern South Africans was created for use in Fordisc 3.1. Classification accuracies of up to 85% for ancestry estimation and 98% for sex estimation were achieved using a multivariate approach. To measure the external validity and report more realistic performance statistics, an independent sample was tested. The postcrania from 180 black, white, and colored South Africans were measured and classified using the custom postcranial database. A decrease in accuracy was observed for both ancestry estimation (79%) and sex estimation (95%) of the validation sample. When incorporating both sex and ancestry simultaneously, the method achieved 70% accuracy, and 79% accuracy when sex-specific ancestry analyses were run. Classification matrices revealed that postcrania were more likely to misclassify as a result of ancestry rather than sex. While both sex and ancestry influence the size of an individual, sex differences are more marked in the postcranial skeleton and are therefore easier to identify. The external validity of the postcranial database was verified and therefore shown to be a useful tool for forensic casework in South Africa. While the classification rates were slightly lower than the original method, this is expected when a method is generalized.

Indexed as

Racial GroupsBone and BonesDatabases, FactualDiscriminant AnalysisFemaleForensic AnthropologyHumansMaleSex Determination by SkeletonSoftwareSouth AfricaClassificationFordiscMultivariatePostcraniometricValidation

Identifiers

PMID29797281
OpenAlexW2804090035

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.