Evidence map›Paper›PMID 40052175›Full record

ArticleOrthopaedic journal of sports medicine2025

Increased Musculoskeletal Injury Risk Without Impact on Statistical In-Game Performance Within 90 Days From Concussion Among Professional Basketball Athletes.

Romir Parmar, Sailesh V Tummala, Landon Morikawa, Jack Haglin, Karan Patel, Anikar Chhabra

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Romir ParmarDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.
Sailesh V TummalaDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-8907-3542
Landon MorikawaDepartment of Orthopaedic Surgery, Harbor-University of California Los Angeles Medical Center, Torrance, California, USA.
Jack HaglinDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.
Karan PatelDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.
Anikar ChhabraDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Concussions have previously been shown to have persistent neurological changes represented by altered reaction time and postural stability in high-level athletes. The effects of concussions on professional basketball players' performance and subsequent injuries during the 90 days after return to play (RTP) have not been investigated. Purpose/Hypothesis: the purpose of this study was to evaluate player statistical performance and risk of musculoskeletal (MSK) injury within 90 days of RTP from a diagnosed concussion. It was hypothesized that within the 90 days after RTP from a concussion, players would be at a greater risk for MSK injury with an associated decrease in player statistical performance. Study Design: Descriptive epidemiology study. Methods: Concussions sustained by National Basketball Association (NBA) players between the 2015-2016 and 2021-2022 seasons, excluding the 2019-2020 season, were evaluated using a publicly available database. The database was queried to identify any MSK injury in the 90-day post-RTP period after a concussion, along with time loss after subsequent injury. Performance statistics were obtained from each player's preindex season and postindex season, as well as defined time points within the 90-day post-RTP period. Each concussed player was matched 1 to 1 with a nonconcussed control using position, win shares, player efficiency rating, and points per game. MSK injury incidence and player statistics in the concussion group were compared with controls using unpaired Student Results: A total of 70 concussions were identified in 70 professional basketball players and included in this analysis. A total of 49 players sustained an MSK injury in the 90-day post-RTP period (70%). Compared with controls, the odds of sustaining an MSK injury in the concussed cohort were 11.3 times greater (95% CI, 5.04-25.2; Conclusion: Our analysis demonstrates that basketball players who sustain concussions are at a significantly increased risk for subsequent MSK injury within the 90-day post-RTP period but not player performance. Knowledge of this increased risk of MSK injury in concussed athletes can help guide concussion management for proper RTP and targeted rehabilitation in professional basketball players.

Indexed as

competitive playNational Basketball Associationneurological changesrecoverytraumatic brain injury

Identifiers

PMID40052175
PMCPMC11881116

What OpenQuestion holds

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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.