Evidence map›Paper›PMID 42225264›Full record

ArticleBone & joint research2026

Mechanical testing methods for orthopaedic research : an introduction.

Radovan Zdero, Pawel Brzozowski, Emil H Schemitsch, Irene Yang

Abstract read
In one paragraph

Article in Bone & joint research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Radovan ZderoVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0003-0853-3402
Pawel BrzozowskiVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0001-6557-7159
Emil H SchemitschVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0002-6435-9069
Irene YangVictoria Hospital, London Health Sciences Centre Research Institute, London, Canada.ORCID 0000-0001-9316-6787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical testing in a controlled laboratory setting is a vital part of orthopaedic research for investigating the structural-level performance or material-level properties of bones, joints, cartilage, soft tissues, and implants. The results can help researchers stay up to date on new findings, medical companies to develop more effective products, and university educators to instruct students on the practical relevance of classroom learning, so that there is a better understanding of orthopaedic conditions and injuries to optimize treatment. This article provides a brief and practical introduction to commonly used state-of-the-art methods, as well as some classic methods which are accurate, easy to use, and inexpensive, to measure different outcomes during in vitro mechanical testing. Planning a mechanical testing study, however, must be done before any experimentation by goal formation, timeline creation, literature review, and so on. Force or torque methods use mechanical testing machines and individual load cells. Displacement or rotation methods include electromagnetic tracking, extensometers or inclinometers, ultrasonic tracking, and videography. Surface strain or stress methods consist of acoustic emission, digital image correlation, fibre optic sensors, strain gauges, and thermography. Interface area or pressure methods encompass Fujifilm, piezoelectric sensors, staining dye, and Tekscan. Interface tribology methods involve the analysis of fretting corrosion friction and wear.

Identifiers

PMID42225264
PMCPMC13225897

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.