Evidence map›Paper›PMID 16632572›Full record

ReviewBritish journal of sports medicine2006

Tennis injuries: occurrence, aetiology, and prevention.

B M Pluim, J B Staal, G E Windler, N Jayanthi

Abstract readReview
In one paragraph

Review in British journal of sports medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 8 pooled it
–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

91 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Injuries in Netball-A Systematic Review.Sports medicine - open · 2021
    Pooled it
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  7. Risk Factors for Upper Limb Injury in Tennis Players: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  8. Pooled it
  9. Within-Session Sequence of the Tennis Serve Training in Youth Elite Players.International journal of environmental research and public health · 2020
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  13. Review
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  17. Interpretable prediction of knee joint loading during tennis serves based on GNN-GRU model and layer-wise relevance propagation.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2025
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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

4 authors.

B M PluimKNLTB, Amersfoort, Netherlands. bpluim@euronet.nl
J B Staal
G E Windler
N Jayanthi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic search of published reports was carried out in three electronic databases from 1966 on to identify relevant articles relating to tennis injuries. There were 39 case reports, 49 laboratory studies, 28 descriptive epidemiological studies, and three analytical epidemiological studies. The principal findings of the review were: first, there is a great variation in the reported incidence of tennis injuries; second, most injuries occur in the lower extremities, followed by the upper extremities and then the trunk; third, there have been very few longitudinal cohort studies that investigated the association between risk factors and the occurrence of tennis injuries (odds ratios, risk ratios, hazard ratios); and fourth, there were no randomised controlled trials investigating injury prevention measures in tennis. More methodologically sound studies are needed for a better understanding of risk factors, in order to design useful strategies to prevent tennis injuries.

Indexed as

AdolescentAdultAgedAthletic InjuriesChildFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsSex DistributionTennis

Identifiers

PMID16632572
PMCPMC2577485

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.