Evidence map›Paper›PMID 34075449›Full record

ArticleAnnals of biomedical engineering2021

The Functionally Grading Elastic and Viscoelastic Properties of the Body Region of the Knee Meniscus.

Jared Maritz, Greta Agustoni, Kalin Dragnevski, Stéphane P A Bordas, Olga Barrera

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Structure-property relationships in fibrous meniscal tissue through image-based augmentation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  4. Article
  5. Frontiers in bioengineering and biotechnology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. On the microstructural origin of brain white matter hydraulic permeability.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

5 authors.

Jared MaritzUniversity of Oxford, Oxford, UK.
Greta AgustoniUniversity of Oxford, Oxford, UK.
Kalin DragnevskiUniversity of Oxford, Oxford, UK.
Stéphane P A BordasInstitute of Computational Engineering Sciences, University of Luxembourg, Luxembourg, Luxembourg.
Olga BarreraUniversity of Oxford, Oxford, UK. olga.barrera@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0002-0077-9582

Funding

H2020 Marie Skłodowska-Curie Actions 796405
6 · The paper itself

Abstract

The knee meniscus is a highly porous structure which exhibits a grading architecture through the depth of the tissue. The superficial layers on both femoral and tibial sides are constituted by a fine mesh of randomly distributed collagen fibers while the internal layer is constituted by a network of collagen channels of a mean size of 22.14 [Formula: see text]m aligned at a [Formula: see text] inclination with respect to the vertical. Horizontal dog-bone samples extracted from different depths of the tissue were mechanically tested in uniaxial tension to examine the variation of elastic and viscoelastic properties across the meniscus. The tests show that a random alignment of the collagen fibers in the superficial layers leads to stiffer mechanical responses (E = 105 and 189 MPa) in comparison to the internal regions (E = 34 MPa). All regions exhibit two modes of relaxation at a constant strain ([Formula: see text] to 7.7 s, [Formula: see text] = 49.9 to 59.7 s).

Indexed as

AnimalsBiomechanical PhenomenaCollagenDogsElasticityMenisci, TibialStress, MechanicalSwineViscosityCollagenGrading mechanical propertiesKnee meniscusMechanical testing

Identifiers

PMID34075449
PMCPMC8455388

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.