Evidence map›Paper›PMID 25844856›Full record

ArticleJournal of athletic training2015

A Refined Prediction Model for Core and Lower Extremity Sprains and Strains Among Collegiate Football Players.

Gary B Wilkerson, Marisa A Colston

Abstract read
In one paragraph

Article in Journal of athletic training, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  5. Sagittal trunk excursion and lumbar repositioning error between female and male patients with patellofemoral pain syndrome.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2023
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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

2 authors.

Gary B WilkersonGraduate Athletic Training Education Program, University of Tennessee at Chattanooga.
Marisa A ColstonGraduate Athletic Training Education Program, University of Tennessee at Chattanooga.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextResearchers have identified high exposure to game conditions, low back dysfunction, and poor endurance of the core musculature as strong predictors for the occurrence of sprains and strains among collegiate football players.

objectiveTo refine a previously developed injury-prediction model through analysis of 3 consecutive seasons of data.

designCohort study.

settingNational Collegiate Athletic Association Division I Football Championship Subdivision football program. PATIENTS OR OTHER

participantsFor 3 consecutive years, all 152 team members (age = 19.7 ± 1.5 years, height = 1.84 ± 0.08 m, mass = 101.08 ± 19.28 kg) presented for a mandatory physical examination on the day before initiation of preseason practice sessions. MAIN OUTCOME MEASURE(S): Associations between preseason measurements and the subsequent occurrence of a core or lower extremity sprain or strain were established for 256 player-seasons of data. We used receiver operating characteristic analysis to identify optimal cut points for dichotomous categorizations of cases as high risk or low risk. Both logistic regression and Cox regression analyses were used to identify a multivariable injury-prediction model with optimal discriminatory power.

resultsExceptionally good discrimination between injured and uninjured cases was found for a 3-factor prediction model that included equal to or greater than 1 game as a starter, Oswestry Disability Index score equal to or greater than 4, and poor wall-sit-hold performance. The existence of at least 2 of the 3 risk factors demonstrated 56% sensitivity, 80% specificity, an odds ratio of 5.28 (90% confidence interval = 3.31, 8.44), and a hazard ratio of 2.97 (90% confidence interval = 2.14, 4.12).

conclusionsHigh exposure to game conditions was the dominant injury risk factor for collegiate football players, but a surprisingly mild degree of low back dysfunction and poor core-muscle endurance appeared to be important modifiable risk factors that should be identified and addressed before participation.

Indexed as

Athletic InjuriesEpidemiologic MethodsFemaleFootballHumansLow Back PainLower ExtremityMaleMuscle, SkeletalPhysical EnduranceSprains and StrainsUniversitiesYoung Adultclinical decision makinglow back painprimary injury prevention

Identifiers

PMID25844856
PMCPMC4527449

What OpenQuestion holds

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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.