Evidence map›Paper›PMID 31245258›Full record

ArticleInjury epidemiology2019

Comparison of subsequent injury categorisation (SIC) models and their application in a sporting population.

Liam A Toohey, Michael K Drew, Lauren V Fortington, Miranda J Menaspa, Caroline F Finch, Jill L Cook

Abstract read
In one paragraph

Article in Injury epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Liam A Toohey1La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, School of Allied Health (Physiotherapy), Bundoora, VIC 3086 Australia.ORCID 0000-0003-3312-7027
Michael K Drew2Athlete Availability Program, Applied Technology and Innovation, Australian Institute of Sport, Leverrier Street, Bruce, ACT 2617 Australia.
Lauren V Fortington1La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, School of Allied Health (Physiotherapy), Bundoora, VIC 3086 Australia.
Miranda J Menaspa3Physical Therapies, Australian Institute of Sport, Bruce, ACT Australia.
Caroline F Finch1La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, School of Allied Health (Physiotherapy), Bundoora, VIC 3086 Australia.
Jill L Cook1La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, School of Allied Health (Physiotherapy), Bundoora, VIC 3086 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe original subsequent injury categorisation (SIC-1.0) model aimed to classify relationships between chronological injury sequences to provide insight into the complexity and causation of subsequent injury occurrence. An updated model has recently been published. Comparison of the data coded according to the original and revised subsequent injury categorisation (SIC-1.0 and SIC-2.0) models has yet been formally compared.

methodsMedical attention injury data was prospectively collected for 42 elite water polo players over an 8 month surveillance period. The SIC-1.0 and SIC-2.0 models were retrospectively applied to the injury data. The injury categorisation from the two models was compared using descriptive statistics.

resultsSeventy-four injuries were sustained by the 42 players (median = 2, range = 0-5), of which 32 injuries (43.2%) occurred subsequent to a previous injury. The majority of subsequent injuries were coded as occurring at a different site and being of a different nature, while also being considered clinically unrelated to the previous injury (SIC-1.0 category 10 = 57.9%; SIC-2.0 clinical category 16 = 54.4%). Application of the SIC-2.0 model resulted in a greater distribution of category allocation compared to the SIC-1.0 model that reflects a greater precision in the SIC-2.0 model.

conclusionsSubsequent injury categorisation of sport injury data can be undertaken using either the original (SIC-1.0) or the revised (SIC-2.0) model to obtain similar results. However, the SIC-2.0 model offers the ability to identify a larger number of mutually exclusive categories, while not relying on clinical adjudication for category allocation. The increased precision of SIC-2.0 is advantageous for clinical application and consideration of injury relationships.

Indexed as

Athletic injuryEpidemiologyInjury classificationInjury definitionSports injurySports medicineWater poloWater sports

Identifiers

PMID31245258
PMCPMC6582673

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Registered trials

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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.