Evidence map›Paper›PMID 34478109›Full record

SynthesisSports medicine (Auckland, N.Z.)2022

The Influence of Running on Lower Limb Cartilage: A Systematic Review and Meta-analysis.

Michaela C M Khan, James O'Donovan, Jesse M Charlton, Jean-Sébastien Roy, Michael A Hunt, Jean-Francois Esculier

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
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  17. ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs.medRxiv : the preprint server for health sciences · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Michaela C M KhanMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-1059-7504
James O'DonovanDepartment of Sports Medicine, Sports Surgery Clinic, Dublin, Ireland.
Jesse M CharltonMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-4709-7666
Jean-Sébastien RoyCenter for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0003-2853-9940
Michael A HuntMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-8648-1591
Jean-Francois EsculierMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada. jean-francois.esculier@ubc.ca.ORCID http://orcid.org/0000-0003-0372-4525
University of British Columbia · CACappagh National Orthopaedic Hospital · IECentre for Interdisciplinary Research in Rehabilitation · CAUniversity of British Columbia Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRunning is a popular activity practiced worldwide. It is important to understand how running affects joint health to provide recommendations to sports medicine practitioners and runners.

objectiveOur aim was to summarize the influence of running on lower limb cartilage morphology and composition using quantitative magnetic resonance imaging (MRI).

methodsProspective repeated-measures studies evaluating cartilage using MRI before and after running were included. Data sources included Pubmed, Embase, CINAHL, SportDiscus, Web of Science, and Cochrane Central Registry of Controlled Trials. Qualitative analyses considered the number and methodological quality ratings of studies based on the QualSyst tool, and recommendations were based on the strength of evidence (strong, moderate, limited, or very limited). Quantitative analysis involved meta-analyses, for which effect sizes were calculated as Hedge's g standardized mean differences.

resultsWe included 43 articles, assessing seven outcomes (lesions, volume, thickness, glycosaminoglycan content, and T1ρ, T2, and T2* relaxation times). Nineteen articles were rated as high quality, 24 were rated as moderate quality, and none were rated as low quality. Qualitative analyses suggest that running may cause an immediate reduction in knee cartilage volume, thickness, as well as T1ρ and T2 relaxation times immediately; however, these changes did not persist. Meta-analyses revealed a small and moderate decrease immediately following a single running bout in T2 relaxation time in the medial femur and tibia, respectively. Qualitative analyses indicated that the influence of repeated exposure to running on cartilage morphology and composition was limited. Despite conflicting evidence regarding pre-existing knee cartilage lesions, moderate evidence suggests that running does not lead to the formation of new lesions. Repeated running exposure did not cause changes to foot and ankle cartilage thickness or composition.

conclusionsChanges to lower limb cartilage following running are transient. Immediate changes to cartilage morphology and composition, which likely reflect natural fluid dynamics, do not persist and were generally not significant when pooled statistically. Results suggest that cartilage recovers well from a single running bout and adapts to repeated exposure. Given that moderate evidence indicates that running does not lead to new lesions, future trials should focus on clinical populations, such as those with osteoarthritis.

trial registrationNot applicable.

Indexed as

Cartilage, ArticularRunningHumansKneeKnee JointMagnetic Resonance ImagingProspective Studies

Identifiers

PMID34478109
OpenAlexW3197450844

What OpenQuestion holds

Textmetadata
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.