Evidence map›Paper›PMID 37621450›Full record

ArticleForensic sciences research2023

Sex estimation from virtual models: exploring the potential of stereolithic 3D crania models for morphoscopic trait scoring.

Madeline Robles, Rachael M Carew, Carolyn Rando, Sherry Nakhaeizadeh, Ruth M Morgan

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Article in Forensic sciences research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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.

Madeline RoblesUCL Department of Security and Crime Science, University College London, 35 Tavistock Square, London, UK.
Rachael M CarewUCL Department of Security and Crime Science, University College London, 35 Tavistock Square, London, UK.
Carolyn RandoUCL Institute of Archaeology, University College London, 31-34 Gordon Square, London, UK.
Sherry NakhaeizadehUCL Department of Security and Crime Science, University College London, 35 Tavistock Square, London, UK.
Ruth M MorganUCL Department of Security and Crime Science, University College London, 35 Tavistock Square, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern computed tomography (CT) databases are becoming an accepted resource for the practice and development of identification methods in forensic anthropology. However, the utility of 3D models created using free and open-source visualization software such as 3D Slicer has not yet been thoroughly assessed for morphoscopic biological profiling methods where virtual methods of analysis are becoming more common. This paper presents a study that builds on the initial findings from Robles et al. (2020) to determine the feasibility of estimating sex on stereolithic (STL) 3D cranial models produced from CT scans from a modern, living UK population ( Key points: First example of Walker's (2008) method applied to a living UK population.Open-source software is a valuable resource for crime reconstruction approaches.Male scoring bias was observed in method application.Forensic anthropologists would benefit from virtual anthropology training to use and interpret 3D models.Digital databases offer more ethical, diverse, modern populations for future research.

Indexed as

3D modellingcomputed tomographyforensic anthropologysex estimationvirtual anthropology

Identifiers

PMID37621450
PMCPMC10445579

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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.