Evidence map›Paper›PMID 31468135›Full record

ArticleInternational journal of legal medicine2019

Histological age-at-death estimation in white South Africans using stereology.

D Botha, M Steyn, N Lynnerup

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

D BothaHuman Variation and Identification Research Unit, School of Anatomical Sciences, University of the Witwatersrand, 2nd Floor, WITS Health Sciences Building, 7 York Road, Parktown, Johannesburg, 2193, South Africa. deona.botha@gmail.com.
M SteynHuman Variation and Identification Research Unit, School of Anatomical Sciences, University of the Witwatersrand, 2nd Floor, WITS Health Sciences Building, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
N LynnerupDepartment of Forensic Pathology, University of Copenhagen, Copenhagen, Denmark.
University of the Witwatersrand · ZAUniversity of Copenhagen · DK

Funding

National Research Foundation PhD bursary (full-time)
6 · The paper itself

Abstract

Various methods are available for estimating age from skeletal remains, amongst them the use of histomorphometry. It is generally argued that age estimation standards are population specific, but this in itself creates problems as the reference samples used are often not large enough and/or lack substantial representation of all age cohorts. Traditional age methods have been shown to suffer from problems such as age mimicry. This paper aims at establishing histological age-at-death standards for the white South African population by supplementing the available sample (lacking an adequate number of young adults) with another sample of European descent to avoid over-estimation of age in younger individuals caused by age mimicry. Bone microstructures related to the number of osteons and fragments, osteon size and Haversian canal size that change with advancing age were used for the development of regression formulae. A histomorphometric assessment of the anterior cortex of the femur was done using stereology for the estimation of age at death. All sections were analysed using the optical fractionator and nucleator probes. A sample of 94 bone sections (n = 50 male, n = 44 females) of white South African individuals were used. A sample of Danish individuals (n = 14 males, n = 16 females) was combined with the South African sample to create a normal age distribution for the reference sample. Single and multiple regression equations were developed after randomly selecting a hold-out sample (n = 14) for validation. Osteon size (average length, surface area and volume) showed the highest correlation with age, followed by the number of osteons and fragments per grid area. Haversian canal size showed inconsistent changes with advancing age. Using the regression equations, predicted ages were obtained for the 14 individuals. RMSE values ranged between 14 and 17 years, which we deemed acceptable.

Indexed as

AdolescentAdultAgedAged, 80 and overAge Determination by SkeletonFemaleFemurForensic AnthropologyHaversian SystemHumansMaleMiddle AgedOptical ImagingRegression AnalysisSouth AfricaWhite PeopleAge estimationAge mimicryFemurLinear regressionStereology

Identifiers

PMID31468135
OpenAlexW2970839002

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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.