Evidence map›Paper›PMID 32166091›Full record

ArticleOrthopaedic journal of sports medicine2020

Video Analysis of Concussion Exposures in a National Collegiate Athletic Association Division I Football Team.

Ashley V Austin, Phillip Sasser, Kawai Tanabe, John M MacKnight, Jeremy B Kent

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Football Game Video Analysis Method with Deep Learning.Computational intelligence and neuroscience · 2022
    Article
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

5 authors at 2 institutions in 1 country.

Ashley V AustinDepartment of Family Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Phillip SasserDepartment of Family Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Kawai TanabeDepartment of Family Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
John M MacKnightDepartment of Internal Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Jeremy B KentDepartment of Family Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
University of Virginia · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch into improving player safety of sport-related concussion (SRC) in American football has been an ongoing endeavor. In an attempt to better understand the incidence of SRCs in American football, research has focused on the characteristics of SRC during gameplay. Determining SRC specifics and assessing them quantitatively can help identify high-risk scenarios and predict exposure risk. PURPOSE: To identify and assess the incidence of SRCs in a National Collegiate Athletic Association football team by comparing field location, player positions, collision partners, and player cues. STUDY

designDescriptive epidemiology study.

methodsWe used physician sideline reports of diagnosed concussions from a Division I football team from September 2010 to December 2018. Game videos were analyzed to identify the field location where the SRC occurred, collision partner, and player behavior postconcussion. The incidence of in-game SRCs by position was also assessed. We used the "words of estimative probability" model to categorize each concussion as

resultsThis study examined 44 SRCs that occurred over 9 seasons. The SRC incidence was significantly higher in the middle defense (5-20 yards from the line of scrimmage) compared with all other field locations (relative risk, 2.46; 95% CI, 1.14-5.29;

conclusionThe middle defense had a significantly higher incidence of SRCs than all other field locations. We pose a new method to categorize concussions during video analysis by using words of estimative probability. Knowledge of SRC gameplay characteristics can potentially guide the medical staff and medical observer to better identify them.

Indexed as

collision partnerfield locationfootball positionmedical observersport-related concussion

Identifiers

PMID32166091
PMCPMC7052463
OpenAlexW3007403640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.