Evidence map›Paper›PMID 34283941›Full record

ArticleJournal of the Royal Society, Interface2021

Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?

Karl T Bates, Linjie Wang, Matthew Dempsey, Sarah Broyde, Michael J Fagan, Philip G Cox

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Karl T BatesDepartment of Musculoskeletal Biology, Institute of Life Course and Medical Sciences, University of Liverpool, The William Henry Duncan Building, 6 West Derby Street, Liverpool L7 8TX, UK.
Linjie WangDepartment of Engineering, University of Hull, Hull HU6 7RX, UK.
Matthew DempseyDepartment of Musculoskeletal Biology, Institute of Life Course and Medical Sciences, University of Liverpool, The William Henry Duncan Building, 6 West Derby Street, Liverpool L7 8TX, UK.
Sarah BroydeDepartment of Musculoskeletal Biology, Institute of Life Course and Medical Sciences, University of Liverpool, The William Henry Duncan Building, 6 West Derby Street, Liverpool L7 8TX, UK.
Michael J FaganDepartment of Engineering, University of Hull, Hull HU6 7RX, UK.
Philip G CoxDepartment of Archaeology, University of York, PalaeoHub, Wentworth Way, Heslington, York YO10 5DD, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/R016380/1Biotechnology and Biological Sciences Research Council BB/R016917/1Biotechnology and Biological Sciences Research Council BB/R017190/1
6 · The paper itself

Abstract

Measures of attachment or accommodation area on the skeleton are a popular means of rapidly generating estimates of muscle proportions and functional performance for use in large-scale macroevolutionary studies. Herein, we provide the first evaluation of the accuracy of these muscle area assessment (MAA) techniques for estimating muscle proportions, force outputs and bone loading in a comparative macroevolutionary context using the rodent masticatory system as a case study. We find that MAA approaches perform poorly, yielding large absolute errors in muscle properties, bite force and particularly bone stress. Perhaps more fundamentally, these methods regularly fail to correctly capture many qualitative differences between rodent morphotypes, particularly in stress patterns in finite-element models. Our findings cast doubts on the validity of these approaches as means to provide input data for biomechanical models applied to understand functional transitions in the fossil record, and perhaps even in taxon-rich statistical models that examine broad-scale macroevolutionary patterns. We suggest that future work should go back to the bones to test if correlations between attachment area and muscle size within homologous muscles across a large number of species yield strong predictive relationships that could be used to deliver more accurate predictions for macroevolutionary and functional studies.

Indexed as

Bite ForceFossilsBiomechanical PhenomenaModels, BiologicalMusclesSkullbiomechanicsfinite-element analysismacroevolutionmulti-body dynamicsrodent mastication

Identifiers

PMID34283941
PMCPMC8292018

What OpenQuestion holds

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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.