Evidence map›Paper›PMID 36312719›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2022

Knee Injuries and Associated Risk Factors in National Basketball Association Athletes.

Sailesh V Tummala, Landon Morikawa, Joseph Brinkman, Tom J Crijns, Kostas Economopoulos, Anikar Chhabra

Abstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

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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

10 citing papers in PubMed.

  1. Trial
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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.

Sailesh V TummalaDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona.
Landon MorikawaJohn A Burns School of Medicine, Honolulu, Hawaii.
Joseph BrinkmanDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona.
Tom J CrijnsUniversity of Texas, Austin, Texas, U.S.A.
Kostas EconomopoulosDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona.
Anikar ChhabraDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine structural knee injury rates and to identify risk factors and the number of games missed associated with these injuries in National Basketball Association (NBA) players from the 2015 to 2020 seasons. Methods: Publicly available player records of active NBA players between the 2015 and 2020 seasons (excluding the shortened 2019 season) were reviewed to identify players with a knee injury associated with missing one or more games. Player demographics, anthropometric measurements, statistics, injury characteristics, and history of other lower-extremity injuries were recorded. We sought factors associated with having a structural knee injury in bivariate analysis and multivariable logistic regression. Negative binomial regression was conducted to evaluate factors associated with the total number of games missed. Results: Two hundred twelve players (of 1,011, 21%) sustained a structural knee injury. Accounting for potential confounders, having a structural knee injury was associated with more minutes per game played (odds ratio [OR] 1.1; 95% confidence interval [CI] 1.0-1.2; Conclusions: Structural knee injuries occurred in 21% of players in this study with an overall rate of 5.42 injuries per 1,000 game exposures. Significant risk factors associated with injury were minutes per game, usage rate, and true shooting percentage. Player efficiency was significantly associated with a decreased risk of injury. Increased minutes per game and usage rate were significantly associated with a longer duration of game loss. Level of Evidence: Level IV, case series.

Identifiers

PMID36312719
PMCPMC9596890

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LicenceCC BY-NC-ND
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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.