Evidence map›Paper›PMID 25691395›Full record

ArticleAnnals of biomedical engineering2015

Coefficient of Friction Patterns Can Identify Damage in Native and Engineered Cartilage Subjected to Frictional-Shear Stress.

G A Whitney, J M Mansour, J E Dennis

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

G A WhitneyDepartment of Biomedical Engineering, Case Western Reserve University, Wickenden, Room 319, 2071 Martin Luther King Jr. Drive, Cleveland, OH, 44106, USA.
J M Mansour
J E Dennis

Funding

TRAINING PROGRAM IN MUSCULOSKELETAL RESEARCHT32AR007505 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI TRIOLO, RONALD J · 1986 to 2023
$6.3M
Total Joint ResurfacingP01AR053622 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI MANSOUR, JOSEPH M · 2008 to 2012
$6.0M
Tissue Engineering of NeotracheaR01DE015322 · NIDCR · CASE WESTERN RESERVE UNIVERSITY · PI DENNIS, JAMES E · 2004 to 2014
$3.6M
NIAMS NIH HHS P01 AR053622NIAMS NIH HHS T32 AR007505NIDCR NIH HHS R01 DE015322
6 · The paper itself

Abstract

The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear testing an invaluable technique for assessing engineered cartilage. Despite the important information that is gained from this testing, it remains under-utilized, especially for determining damage behavior. Currently, extensive visual inspection is required to assess damage; this is cumbersome and subjective. Tools to simplify, automate, and remove subjectivity from the analysis may increase the accessibility and usefulness of frictional-shear testing as an evaluation method. The objective of this study was to determine if the friction signal could be used to detect damage that occurred during the testing. This study proceeded in two phases: first, a simplified model of biphasic lubrication that does not require knowledge of interstitial fluid pressure was developed. In the second phase, frictional-shear tests were performed on 74 cartilage samples, and the simplified model was used to extract characteristic features from the friction signals. Using support vector machine classifiers, the extracted features were able to detect damage with a median accuracy of approximately 90%. The accuracy remained high even in samples with minimal damage. In conclusion, the friction signal acquired during frictional-shear testing can be used to detect resultant damage to a high level of accuracy.

Indexed as

FrictionModels, BiologicalSupport Vector MachineAnimalsCartilageRabbitsShear StrengthStress, MechanicalTissue EngineeringWeight-Bearing

Identifiers

PMID25691395
PMCPMC4651174

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Registered trials

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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.