Evidence map›Paper›PMID 34280270›Full record

ArticleJournal of athletic training2021

Epidemiology of Injuries in National Collegiate Athletic Association Women's Basketball: 2014-2015 Through 2018-2019.

Landon B Lempke, Avinash Chandran, Adrian J Boltz, Hannah J Robison, Christy L Collins, Sarah N Morris

Abstract read
In one paragraph

Article in Journal of athletic training, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
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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

17 citing papers in PubMed, 1 synthesis or guideline 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.

Landon B LempkeUGA Concussion Research Laboratory, Department of Kinesiology, University of Georgia, Athens.
Avinash ChandranDatalys Center for Sports Injury Research and Prevention, Indianapolis, IN.
Adrian J BoltzDatalys Center for Sports Injury Research and Prevention, Indianapolis, IN.
Hannah J RobisonDatalys Center for Sports Injury Research and Prevention, Indianapolis, IN.
Christy L CollinsDatalys Center for Sports Injury Research and Prevention, Indianapolis, IN.
Sarah N MorrisDatalys Center for Sports Injury Research and Prevention, Indianapolis, IN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextFrequent inspection of sports-related injury epidemiology among National Collegiate Athletic Association (NCAA) women's basketball student-athletes is valuable for identifying injury-related patterns.

backgroundEmerging patterns in epidemiology of NCAA women's basketball injuries are unknown though general sports medicine practices, and playing rules and regulations have evolved in recent years.

methodsAthlete exposures (AEs) and injury incidence data were reported to the NCAA Injury Surveillance Program between 2014-2015 and 2018-2019. Injury counts, rates, and proportions were used to examine injury characteristics, and injury rate ratios (IRRs) were used to assess injury rate differences.

resultsPractice and competition injury rates were 5.93 and 10.35 per 1000 AEs, respectively. Preseason injury rates were higher than regular (IRR = 1.41; 95% CI = 1.31, 1.53) and postseason (IRR = 3.12; 95% CI = 2.39, 4.07). Ankle sprains (14.3%), concussions (7.5%), and anterior cruciate ligament tears (2.5%) were the most commonly reported injuries. SUMMARY: Higher rates of practice and competition injuries, as well as ankle sprains, were observed relative to previous reports; continuous monitoring is necessary to identify potential contributing factors to these trends.

Indexed as

Athletic InjuriesAdultAthletesBasketballFemaleHumansIncidenceUnited Statesdescriptivesport-relatedsurveillance

Identifiers

PMID34280270
PMCPMC8293880

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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.