Evidence map›Paper›PMID 29623603›Full record

ReviewSports medicine (Auckland, N.Z.)2018

Injury Risk (Burden), Risk Matrices and Risk Contours in Team Sports: A Review of Principles, Practices and Problems.

Colin W Fuller

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Match injuries in English schoolboy rugby union.BMJ open sport & exercise medicine · 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

1 author.

Colin W FullerColin Fuller Consultancy Ltd, Main Street, Sutton Bonington, LE12 5PE, UK. ColinFullerConsultancy@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this review was to provide insights into and a critical assessment of injury burden, risk matrices and risk contours in the context of team sports. Injury burden is the product of injury incidence and mean severity, and is normally reported as days' absence/1000 player-hours. An important feature of injury burden is that equal values can reflect quite different numerical combinations of injury incidence and severity. The timeframe over which injury burden affects a team depends on the incidence and severity values of the injuries sustained. Injury burden is evaluated through the use of risk matrices and risk contours. The main benefits of using risk matrices, and the reasons for their widespread acceptance, are the minimal data inputs required, the ease of understanding the visual data presentation, the transparent nature of the evaluation criteria and the simplicity with which the conclusions can be communicated to stakeholders. Injury burden is most often used for the identification of injuries that cause the greatest loss of time for players, ranking the importance of injury risk factors and prioritising injury prevention plans. Although risk matrices are commonly used for evaluating risks during the risk assessment process, there is little evidence to demonstrate that they improve decision-making, as they have a number of limitations, including potential inconsistencies and discrepancies when evaluating and ranking risks. These limitations suggest that physicians, physiotherapists and sports scientists should only use injury burden, risk matrices and risk contours when they fully understand their strengths and weaknesses.

Indexed as

Athletic InjuriesSportsHumansRisk AssessmentRisk FactorsRisk Management

Identifiers

PMID29623603

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.