Evidence map›Paper›PMID 29226165›Full record

ArticleOrthopaedic journal of sports medicine2017

Game Schedules and Rate of Concussions in the National Football League.

Masaru Teramoto, Daniel M Cushman, Chad L Cross, Heather M Curtiss, Stuart E Willick

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 2 syntheses or guidelines 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

5 authors.

Masaru TeramotoDivision of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA.
Daniel M CushmanDivision of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA.
Chad L CrossDepartment of Radiation Oncology, School of Medicine and Department of Environmental & Occupational Health, School of Community Health Sciences, University of Nevada, Las Vegas, Las Vegas, Nevada, USA.
Heather M CurtissDivision of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA.
Stuart E WillickDivision of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcussion prevention in the National Football League (NFL) is an important priority for player safety. The NFL now has modified game schedules, and one concern is that unconventional game schedules, such as a shortened rest period due to playing on a Thursday rather than during the weekend, may lead to an increased risk of injuries. HYPOTHESIS: Unconventional game schedules in the NFL are associated with an increased rate of concussion. STUDY

designDescriptive epidemiological study.

methodsThis study analyzed concussions and game schedules over the NFL regular seasons from 2012 to 2015 (4 years). Documented numbers of concussions, identified by use of the online database PBS Frontline Concussion Watch, were summarized by regular-season weeks. Association of days of rest and game location (home, away, or overseas) with the rate of concussion was examined by use of the χ

resultsA total of 582 concussions were analyzed in this study. A significantly greater number of concussions occurred in the second half of the season (

conclusionUnconventional game schedules in the NFL, including playing on Thursday and playing overseas, do not seem to put players at increased risk of concussions.

Indexed as

concussiondays of restepidemiologygame locationgame schedulesNational Football League (NFL)

Identifiers

PMID29226165
PMCPMC5714093

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LicenceCC BY-NC-ND
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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.