Evidence map›Paper›PMID 32841833›Full record

ArticleJournal of the mechanical behavior of biomedical materials2020

A comprehensive testing protocol for macro-scale mechanical characterization of knee articular cartilage with documented experimental repeatability.

Snehal Chokhandre, Ahmet Erdemir

Open access · hybridAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2020. 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
1.4field-weighted citation impact, top 18% 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, 19 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Snehal ChokhandreDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Ahmet ErdemirDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address: erdemira@ccf.org.
Cleveland Clinic Lerner College of Medicine · US

Funding

Reproducibility in simulation-based prediction of natural knee mechanicsR01EB024573 · NIBIB · CLEVELAND CLINIC LERNER COM-CWRU · PI AHMET ERDEMIR, Jason Halloran · 2017 to 2026
$5.0M
Open Knee(s): Virtual Biomechanical Representations of the Knee JointR01GM104139 · NIGMS · CLEVELAND CLINIC LERNER COM-CWRU · PI ERDEMIR, AHMET · 2013 to 2016
$2.1M
NIBIB NIH HHS R01 EB024573NIGMS NIH HHS R01 GM104139
6 · The paper itself

Abstract

Articular cartilage mechanics has been extensively studied with various approaches and mechanical characterization strategies. However testing protocols can be highly varying and difficult to reproduce, particularly for specimen-specific analyses. Detailed knowledge of testing protocols is important for reliable use in concordant finite element analyses. This study presents a detailed, robust procedure for cartilage testing-with multiple regions and per sample repeatability data. Samples were taken from femur, tibia and patella of a human cadaver knee and tested in unconfined compression, confined compression and uniaxial tension. Each test was repeated three times. The testing protocols provide elastic and time dependent characterization data. Results, for example equilibrium modulus of 0.28 (0.0024) MPa for patella under unconfined compression indicate that variability is well controlled and that protocol(s) presented here can generate repeatable specimen-specific data. As per the authors' knowledge this is the first study to report in-depth uncertainty assessment of the experimental procedures for multi-region knee cartilage characterization.

Indexed as

Cartilage, ArticularKnee JointElasticityFinite Element AnalysisHumansPatellaStress, MechanicalArticular cartilageExperimental repeatabilityHuman knee

Identifiers

PMID32841833
PMCPMC7655550
OpenAlexW3047826325

What OpenQuestion holds

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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.