Evidence map›Paper›PMID 35834895›Full record

ArticleJournal of the mechanical behavior of biomedical materials2022

In vitro method to quantify and visualize mechanical wear in human meniscus subjected to joint loading.

Kate J Benfield, Zachary A Pinkley, Dylan E Burruel, Kirk J Lewis, Daniel S Ferguson, Trevor J Lujan

Open access · greenAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Anisotropic wear behavior of meniscus: Influence of cross-shear and loading magnitude.Journal of the mechanical behavior of biomedical materials · 2026
    Article
  4. Review
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Kate J BenfieldBiomedical Engineering Doctoral Program, Boise State University, Boise, ID, USA; Department of Mechanical & Biomedical Engineering, Boise State University, Boise, ID, USA.
Zachary A PinkleyDepartment of Mechanical & Biomedical Engineering, Boise State University, Boise, ID, USA.
Dylan E BurruelDepartment of Mechanical & Biomedical Engineering, Boise State University, Boise, ID, USA.
Kirk J LewisIdaho Sports Medicine Institute, Boise, ID, USA.
Daniel S FergusonGlobal Inspection Solutions, LLC, Portland, OR, USA.
Trevor J LujanDepartment of Mechanical & Biomedical Engineering, Boise State University, Boise, ID, USA. Electronic address: trevorlujan@boisestate.edu.
Boise State University · USMinnesota Orthopedic Sports Medicine Institute · US

Funding

VPS35 D620N inhibits autophagy through disrupted hyaluronic acid-CD44 signalingP20GM109095 · NIGMS · BOISE STATE UNIVERSITY · PI OXFORD, JULIA THOM · 2014 to 2023
$22.7M
NIGMS NIH HHS P20 GM109095
6 · The paper itself

Abstract

The mechanical wear and tear of soft connective tissue from repetitive joint loading is a primary factor in degenerative joint disease, and therefore methods are needed to accurately characterize wear in joint structures. Here, we evaluate the accuracy of using a structured light 3D optical scanning system and modeling software to quantify and visualize volume loss in whole human meniscus subjected to in vitro joint loading. Using 3D printed meniscus replicas with known wear volumes, we determined that this novel imaging method has a mean accuracy of approximately 13 mm

Indexed as

MeniscusTibial Meniscus InjuriesHumansKneeKnee JointMenisci, Tibial3D optical scanningFatigue testingKnee biomechanicsMeniscus degenerationSoft tissueTribology

Identifiers

PMID35834895
PMCPMC9728175
OpenAlexW4283698314

What OpenQuestion holds

Textmetadata
LicenceTDM
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.