Evidence map›Paper›PMID 30219928›Full record

ArticleInternational journal of legal medicine2019

A validation study of the Stoyanova et al. method (2017) for age-at-death estimation quantifying the 3D pubic symphyseal surface of adult males of European populations.

Anežka Kotěrová, Jana Velemínská, Eugénia Cunha, Jaroslav Brůžek

Abstract readValidation Study
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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 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Evaluation of theDiagnostics (Basel, Switzerland) · 2024
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anežka KotěrováDepartment of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, 128 43, Prague 2, Czech Republic. koterova.a@seznam.cz.ORCID http://orcid.org/0000-0001-5500-244X
Jana VelemínskáDepartment of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, 128 43, Prague 2, Czech Republic.
Eugénia CunhaLaboratory of Forensic Anthropology, Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal.
Jaroslav BrůžekDepartment of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, 128 43, Prague 2, Czech Republic.

Funding

Grantová Agentura, Univerzita Karlova 642218
6 · The paper itself

Abstract

The age-at-death estimation thresholds have recently been shifted towards a more objective assessment of the aging process. Such a non-subjective approach offers quantitative methods of age estimation; for instance, the method relating to the surfaces of pubic symphyses of males published by Stoyanova et al. (J Forensic Sci 62:1434-1444, 2017). A validation study was conducted to test the method performance in European samples. The sample consisted of 96 meshes of pubic symphyses of male individuals (known sex and age) that came from four different samples (two Portuguese collections, one Swiss, and one Crete). Stoyanova's method based on five regression models (three univariate and two multivariate models) performed worse in our sample, but only when the whole sample (without age limitation) was included. A sample limited to individuals under 40 years of age achieved better results in our study. The best results were reached through the thin plate spline algorithm (TPS/BE) with a root mean square error of 5.93 years and inaccuracy of 4.47 years. Generally, the multivariate regression models did not contribute to better age estimation. In our sample in all age categories, age was systematically underestimated. The quantitative method tested in this study works best for individuals under 40 years of age and provides a suitable basis for further research.

Indexed as

AdultAgedAged, 80 and overAge Determination by SkeletonComputer SimulationEuropeForensic AnthropologyHumansImaging, Three-DimensionalMaleMiddle AgedPubic SymphysisRegression AnalysisYoung Adult3D modelAge-at-deathPubic symphysisQuantitative analysisStructured light scanning

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Registered trials

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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.