Evidence map›Paper›PMID 38221968›Full record

ArticleForensic sciences research2023

Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample.

Victor Jacometti, Marco Aurelio Guimarães, Luis Otávio Carvalho de Moraes, Sérgio Ricardo Marques, Eugénia Cunha, Ricardo Henrique Alves da Silva

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In one paragraph

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. Ancestry estimation: Methodological evolution and forensic implications.Forensic science, medicine, and pathology · 2026
    Review
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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

6 authors.

Victor JacomettiDepartment of Pathology and Legal Medicine, Ribeirão Preto Medical School, University of São Paulo, 14048-900 Ribeirão Preto, Brazil.
Marco Aurelio GuimarãesDepartment of Pathology and Legal Medicine, Ribeirão Preto Medical School, University of São Paulo, 14048-900 Ribeirão Preto, Brazil.
Luis Otávio Carvalho de MoraesDiscipline of Descriptive and Topografic Anatomy, Department of Morphology and Genetics, Federal University of São Paulo, 04024-002 São Paulo, Brazil.
Sérgio Ricardo MarquesDiscipline of Descriptive and Topografic Anatomy, Department of Morphology and Genetics, Federal University of São Paulo, 04024-002 São Paulo, Brazil.
Eugénia CunhaLaboratory of Forensic Anthropology, Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal.
Ricardo Henrique Alves da SilvaDepartment of Stomatology, Public Health and Forensic Odontology, School of Dentistry of Ribeirão Preto, University of São Paulo, 14040-904 Ribeirão Preto, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to analyze the accuracy and applicability of the AncesTrees software with respect to a set of cranial measurements of a Brazilian sample consisting of 114 identified skulls from two osteological collections, predominantly composed of European ( Key points: Ancestry estimation methods are seldom validated in Brazil.AncesTrees performed poorly on our sample, with a maximum accuracy of 70%.Brazil's highly mixed population hinders ancestry estimation.Mixed individuals (pardos) are predominantly classified as Europeans.The insertion of Brazilian metric data into the AncesTrees database would produce better results.

Indexed as

ancestry estimationbiological profile estimationBraziliancraniometryforensic anthropology

Identifiers

PMID38221968
PMCPMC10785597

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