Evidence map›Paper›PMID 31938660›Full record

ArticleCureus2019

Magnetic Resonance Imaging Findings of Knees and Spines in Recreational Runners who Completed 1000 Marathons.

Hyechang Rhim, Young Ha Kim, Myung Gyu Kim, Ki-Mo Jang, Seung Woo Suh

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Hyechang RhimMedicine, Korea University College of Medicine, Seoul, KOR.
Young Ha KimOrthopaedics, Korea University Anam Hospital, Seoul, KOR.
Myung Gyu KimRadiology, Korea MS Diagnostic Radiology Clinic, Seoul, KOR.
Ki-Mo JangOrthopaedics, Korea University Anam Hospital, Seoul, KOR.
Seung Woo SuhOrthopaedics, Korea University Anam Hospital, Seoul, KOR.
Korea University Medical Center · KRDr Youth Clinic · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Marathon running is a popular recreational activity, but the effects of chronic running on the knee or other joints remain unclear. The purpose of this article was to evaluate any degenerative changes in the knees and spines of recreational runners who completed at least 1000 marathons. Methods Recreational runners who completed at least 1000 marathons were recruited. Magnetic resonance imaging (MRI) of both knees and spines of six such runners was performed with a 1.5 T MR scanner. The anatomical structures of the knee joint including meniscus, bone marrow, cartilage, ligaments, and joint effusion were examined along with other abnormalities. Spinal alignment, degenerative change in intervertebral disc, intervertebral disc herniation, osteoarthritis in facet joint, degenerative anterior/lateral spur, and other abnormalities were evaluated. Results In terms of knee joints, one runner showed degeneration at the meniscus, while three runners had cartilage lesions. However, none of the six runners showed radiologic evidence of knee osteoarthritis. All six runners demonstrated degenerative changes in intervertebral spinal discs.  Conclusions Running 1000 marathons may not have a harmful effect on the knee joints and may not result in osteoarthritis. However, it is unclear whether degenerative changes in the spine are derived from running or aging.

Indexed as

jointskneemarathon runningmrirunningspine

Identifiers

PMID31938660
PMCPMC6957046
OpenAlexW2995209146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.