Evidence map›Paper›PMID 39399755›Full record

ArticleForensic sciences research2024

Human identification through forensic skeletal analysis: three case reviews.

Joe Adserias-Garriga, Shelby Feirstein, Dakota Bell, Hannah Skropits, Dennis C Dirkmaat

Abstract readCase Reports
In one paragraph

Article in Forensic sciences research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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.

Joe Adserias-GarrigaDepartment of Applied Forensic Sciences, Mercyhurst University, PA, USA.
Shelby FeirsteinDepartment of Applied Forensic Sciences, Mercyhurst University, PA, USA.
Dakota BellDepartment of Applied Forensic Sciences, Mercyhurst University, PA, USA.
Hannah SkropitsDepartment of Applied Forensic Sciences, Mercyhurst University, PA, USA.
Dennis C DirkmaatDepartment of Applied Forensic Sciences, Mercyhurst University, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing a positive identification of human remains found in a forensic setting is often accomplished through DNA, fingerprints, or odontology. However, when these primary identifiers cannot be applied, practitioners can rely on combining points of concordance derived from other identification modalities such as antemortem trauma, pathology, or unique skeletal morphologies to build up a case for identification. In order to conduct these comparisons, forensic anthropologists must be well trained and experienced in human skeletal variation and antemortem trauma to properly evaluate a particular skeletal trait and understand its value with respect to personal identification. In addition to macroscopic analysis of skeletal features and standard radiographic images, recent forensic anthropological efforts of establishing personal identity from the skeleton have employed high-quality clinical imaging technologies. This article presents three forensic anthropological cases in which positive identification was established on the basis of multiple antemortem to postmortem comparison modalities that included skeletal variation, antemortem fracture morphologies, trabecular patterns, dental traits, and implanted surgical devices. These cases use a variety of imaging techniques, such as cranial radiographic images, dental radiographs, computed tomography, photography, and 3D surface scans of the skeletal remains, to achieve personal identification. Key points: The identification of the remains becomes a top priority in forensic investigations.Dental treatment, implanted surgical devices, anatomical variation, and healed skeletal trauma can provide useful features for the antemortem

Indexed as

computer tomographyforensic sciencespositive identificationradiographyskeletal variationsurgical device

Identifiers

PMID39399755
PMCPMC11466718

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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.