Evidence map›Paper›PMID 26995111›Full record

ReviewOsteoarthritis and cartilage2016

Gait analysis methods for rodent models of arthritic disorders: reviews and recommendations.

E H Lakes, K D Allen

Open access · bronzeAbstract readReview
In one paragraph

Review in Osteoarthritis and cartilage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

91 citing papers in PubMed, 159 citations in OpenAlex.

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  6. LOXL2 alleviates post-traumatic knee osteoarthritis and pain.Journal of orthopaedic translation · 2025
    Article
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31 more citing papers are in PubMed but not listed here.

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.

E H LakesJ Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA; Institute for Cell & Tissue Science and Engineering, University of Florida, Gainesville, FL, USA.
K D AllenJ Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA; Institute for Cell & Tissue Science and Engineering, University of Florida, Gainesville, FL, USA. Electronic address: kyle.allen@bme.ufl.edu.
University of Florida · US

Funding

Magnetic Capture of Osteoarthritis BiomarkersR01AR068424 · NIAMS · UNIVERSITY OF FLORIDA · PI ALLEN, KYLE D · 2015 to 2019
$1.6M
Function and Behavior Phenotype of Inflammatory Arthritis in the Rat Knee and TMJR00AR057426 · NIAMS · UNIVERSITY OF FLORIDA · PI ALLEN, KYLE D · 2011 to 2013
$735k
NIAMS NIH HHS R00 AR057426NIAMS NIH HHS R01 AR068424
6 · The paper itself

Abstract

Gait analysis is a useful tool to understand behavioral changes in preclinical arthritis models. While observational scoring and spatiotemporal gait parameters are the most widely performed gait analyses in rodents, commercially available systems can now provide quantitative assessments of spatiotemporal patterns. However, inconsistencies remain between testing platforms, and laboratories often select different gait pattern descriptors to report in the literature. Rodent gait can also be described through kinetic and kinematic analyses, but systems to analyze rodent kinetics and kinematics are typically custom made and often require sensitive, custom equipment. While the use of rodent gait analysis rapidly expands, it is important to remember that, while rodent gait analysis is a relatively modern behavioral assay, the study of quadrupedal gait is not new. Nearly all gait parameters are correlated, and a collection of gait parameters is needed to understand a compensatory gait pattern used by the animal. As such, a change in a single gait parameter is unlikely to tell the full biomechanical story; and to effectively use gait analysis, one must consider how multiple different parameters contribute to an altered gait pattern. The goal of this article is to review rodent gait analysis techniques and provide recommendations on how to use these technologies in rodent arthritis models, including discussions on the strengths and limitations of observational scoring, spatiotemporal, kinetic, and kinematic measures. Recognizing rodent gait analysis is an evolving tool, we also provide technical recommendations we hope will improve the utility of these analyses in the future.

Indexed as

GaitAnimalsArthritisBiomechanical PhenomenaKineticsRodentiaArthritisGaitKinematicKineticRodentSpatiotemporal

Identifiers

PMID26995111
PMCPMC5026889
OpenAlexW2298981934

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.