Evidence map›Paper›PMID 33954221›Full record

ArticleOrthopaedic journal of sports medicine2021

Game Spacing and Density in Relation to the Risk of Injuries in the National Hockey League.

Benjamin N Blond, Joshua B Blond, Paul J Loscalzo

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Benjamin N BlondDepartment of Neurology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, New York, USA.
Joshua B BlondDepartment of Neurology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, New York, USA.
Paul J LoscalzoDepartment of Neurology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, New York, USA.
Stony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIce hockey has significant workload demands. Research of other sports has suggested that decreased rest between games as well as an increased workload may increase the risk of injuries. PURPOSE: To evaluate whether condensed game schedules increase the frequency and severity of injuries in the National Hockey League (NHL). STUDY

designDescriptive epidemiology study.

methodsData were obtained from publicly available online sources on game schedules and injuries for all NHL teams for the 2005-2006 through 2018-2019 seasons. Injury rates (per team per game) and the proportion of severe and nonsevere injuries were determined. The game-spacing analysis assessed the risk of injuries in relation to the number of days between games played (range, 0-≥6 days). The game-density analysis assessed the risk of injuries in relation to the number of games played within 7 days (range, 1-5 games). Results were assessed by analysis of variance, the post hoc Tukey test, and the chi-square test of distribution.

resultsThe game-spacing analysis included 33,170 games and 7224 injuries, and a significant group difference was found (

conclusionWe found that a condensed schedule and <1 day of rest between games were associated with an increased rate of injuries in the NHL. These findings may help in the design of future game schedules.

Indexed as

back-to-back gamescondensed scheduleepidemiologygame schedulehockeyinjuries

Identifiers

PMID33954221
PMCPMC8058808
OpenAlexW3152687839

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.