Evidence map›Paper›PMID 25037899›Full record

SynthesisRheumatology international2015

Prevalence of osteoarthritis in former elite athletes: a systematic overview of the recent literature.

Vincent Gouttebarge, Han Inklaar, Frank Backx, Gino Kerkhoffs

Open access · greenAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Rheumatology international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 pooled it
5.9field-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

37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Hypertrophy Training Following A Total Hip Replacement: A Literature Review.International journal of sports physical therapy · 2024
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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 at 2 institutions in 1 country.

Vincent GouttebargeDepartment of Orthopedic Surgery, Academic Medical Center, Amsterdam, The Netherlands, v.gouttebarge@fifpro.org.
Han Inklaar
Frank Backx
Gino Kerkhoffs
Academic Medical Center · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to systematically review the recent scientific literature to explore the prevalence of osteoarthritis (OA) in former elite athletes from team and individual sports. A systematic review of observational studies was conducted. Based on three categories of keywords (and synonyms), a sensitive search strategy was built in order to search MEDLINE and SPORTDiscus from 2000 to 2014. The data from included studies presenting a prevalence rate of OA as an outcome measure were extracted using a standardised extraction form, and their methodological quality was described. Fifteen studies were identified through our search strategy, studies being rather heterogeneous with regard to their study population and to the definition and assessment of OA. Hip OA ranged from 2 to 60%, and knee OA from 16 to 95%. Prevalence rates of general, lower limbs or hip/knee OA ranged from 1 to 59%. Prevalence of neck, back, shoulder and ankle OA was reported only in single studies (16, 18, 33 and 3%, respectively). This study showed that prevalence of OA, especially in their lower limbs, seems to be high among former elite athletes from team and individual sports compared to the general population and other occupational sectors.

Indexed as

Ankle JointAthletesHumansOccupational ExposureOsteoarthritisOsteoarthritis, HipOsteoarthritis, KneeOsteoarthritis, SpinePrevalenceShoulder Joint

Identifiers

PMID25037899
OpenAlexW2066238451

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.