Evidence map›Paper›PMID 41281455›Full record

ArticleOrthopaedic journal of sports medicine2025

Golf-Related Lower Extremity Injuries Presenting to United States Emergency Departments: A 10-Year Analysis (2013-2022).

Ryan H Nishi, Eli M Snyder, Kyle K Obana, Kenneth R Kato, David P Trofa, Lorrin S K Lee

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

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryan H NishiJohn A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Eli M SnyderJohn A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-1725-0087
Kyle K ObanaDepartment of Orthopedic Surgery, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Kenneth R KatoDepartment of Orthopedic Surgery, University of Hawai'i, Honolulu, Hawaii, USA.
David P TrofaDepartment of Orthopedic Surgery, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Lorrin S K LeeDepartment of Orthopedic Surgery, University of Hawai'i, Honolulu, Hawaii, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Golf-related lower extremity (LE) orthopaedic injuries are frequently seen in emergency departments (EDs) across the United States (US). This study analyzes trends in mechanisms and distribution of these injuries. Hypotheses: We hypothesized that (1) the LE injury incidence would increase from 2013 to 2022; (2) golf carts would be a significant injury mechanism; and (3) injury patterns would vary by age group. Study Design: Descriptive epidemiology study. Methods: The National Electronic Injury Surveillance System (NEISS) database was queried for all LE golf-related injuries presenting to US EDs from January 1, 2013, to December 31, 2022. National estimates (NE) were calculated utilizing the NEISS statistical sample weight for each hospital. Linear regressions were used to determine trends in injury patterns-including year, age group, body part, injury mechanism, diagnosis, and disposition. Results: There were 1949 golf-related LE injuries (NE = 97,492), with men accounting for 67.3% of cases. Injuries were highest among >60 years (49%) and 10 to 19-year-old golfers (11%). Most commonly involved LE body parts were the knee (n = 586; NE = 31,539; 32%), lower leg (n = 498; NE = 24,729; 25%), ankle (n = 453; NE = 21,860; 22%), and foot (n = 263; NE = 12,814; 13%). The most commonly identifiable mechanisms of injury were 38,889 cart-related (40%), 15,287 falls (16%), and 11,181 overuse injuries (11%). There was an increasing annual trend in LE injury involving golf carts (236 per year; Conclusion: Our study revealed that golf cart-related injuries accounted for a disproportionate percentage of LE golf injuries (40%). The lack of increase in overall LE injuries may reflect fewer non-golf cart-related injuries among an increasing pool of younger golfers. Preventive measures should target adolescents and those >60 years. Improved safety measures for golf cart use are also recommended.

Indexed as

golfinjury preventionlower-extremity injuryorthopaedic surgery

Identifiers

PMID41281455
PMCPMC12638648

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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.