Evidence map›Paper›PMID 32059040›Full record

ArticlePloS one2020

Exploring sexual dimorphism of the modern human talus through geometric morphometric methods.

Rita Sorrentino, Maria Giovanna Belcastro, Carla Figus, Nicholas B Stephens, Kevin Turley, William Harcourt-Smith, Timothy M Ryan, Stefano Benazzi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
37.1field-weighted citation impact, top 1% 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

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

14 citing papers in PubMed, 34 citations in OpenAlex.

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  2. The influence of talus size and shape onRoyal Society open science · 2024
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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

8 authors at 6 institutions in 4 countries.

Rita SorrentinoDepartment of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0002-6529-7250
Maria Giovanna BelcastroDepartment of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.
Carla FigusDepartment of Cultural Heritage, University of Bologna, Ravenna, Italy.
Nicholas B StephensDepartment of Anthropology, Pennsylvania State University, State College, PA, United States of America.
Kevin TurleyDepartment of Anthropology, University of Oregon, Eugene, OR, United States of America.
William Harcourt-SmithGraduate Center, City University of New York, New York, NY, United States of America.
Timothy M RyanDepartment of Anthropology, Pennsylvania State University, State College, PA, United States of America.
Stefano BenazziDepartment of Cultural Heritage, University of Bologna, Ravenna, Italy.ORCID 0000-0003-4305-6920
Pennsylvania State University · USUniversity of Bologna · ITCentre National de la Recherche Scientifique · FRMax Planck Institute for Evolutionary Anthropology · DEThe Graduate Center, CUNY · USUniversity of Oregon · US

Funding

European Research Council 724046
6 · The paper itself

Abstract

Sex determination is a pivotal step in forensic and bioarchaeological fields. Generally, scholars focus on metric or qualitative morphological features, but in the last few years several contributions have applied geometric-morphometric (GM) techniques to overcome limitations of traditional approaches. In this study, we explore sexual dimorphism in modern human tali from three early 20th century populations (Sassari and Bologna, Italy; New York, USA) at intra- and interspecific population levels using geometric morphometric (GM) methods. Statistical analyses were performed using shape, form, and size variables. Our results do not show significant differences in shape between males and females, either considering the pooled sample or the individual populations. Differences in talar morphology due to sexual dimorphism are mainly related to allometry, i.e. size-related changes of morphological traits. Discriminant function analysis using form space Principal Components and centroid size correctly classify between 87.7% and 97.2% of the individuals. The result is similar using the pooled sample or the individual population, except for a diminished outcome for the New York group (from 73.9% to 78.2%). Finally, a talus from the Bologna sample (not included in the previous analysis) with known sex was selected to run a virtual resection, followed by two digital reconstructions based on the mean shape of both the pooled sample and the Bologna sample, respectively. The reconstructed talus was correctly classified with a Ppost between 99.9% and 100%, demonstrating that GM is a valuable tool to cope with fragmentary tali, which is a common occurrence in forensic and bioarchaeological contexts.

Indexed as

Discriminant AnalysisFemaleForensic AnthropologyHumansImage Processing, Computer-AssistedMalePrincipal Component AnalysisSex CharacteristicsSex Determination by SkeletonTalus

Identifiers

PMID32059040
PMCPMC7021319
OpenAlexW3006563130

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.