Evidence map›Paper›PMID 41281062›Full record

ReviewCureus2025

Orthopedic Injuries Associated With Electric Scooter (E-scooter) Use: Epidemiology, Injury Patterns, Management Strategies, and Prevention.

Zubair Younis, Muhammad A Hamid, Thomas Devasia, Faliq Abdullah

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

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

4 authors.

Zubair YounisOrthopedics, The Royal Wolverhampton NHS Trust, Wolverhampton, GBR.
Muhammad A HamidOrthopedic Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Thomas DevasiaTrauma and Orthopedics, The Royal Wolverhampton NHS Trust, Wolverhampton, GBR.
Faliq AbdullahTrauma and Orthopedics, University Hospital of Wales, Cardiff, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electric scooters have rapidly become a popular form of micromobility worldwide, offering convenience and affordability. However, their increasing use has been paralleled by a notable rise in emergency presentations, with orthopedic trauma representing a substantial proportion. Injuries often involve young adults, typically following falls, and are characterized by a high incidence of fractures, particularly of the upper limb. Importantly, a significant number of cases require operative management, including complex reconstructions for open or periarticular injuries. The injury spectrum extends beyond simple fractures, with reports of severe lower limb, pelvic, and axial injuries, some resembling those sustained in high-energy trauma. These presentations impose considerable resource demands, reflected in operating theater use, inpatient admissions, and rehabilitation needs. Despite this burden, long-term functional outcome data remain limited, underscoring the need for prospective registries. Management strategies largely align with established trauma principles, but clinicians must maintain a high index of suspicion for multisystem involvement and anticipate challenging reconstructions. Prevention efforts are crucial, with helmet use, speed regulation, intoxication policies, and infrastructure improvements emerging as key modifiable factors. This review synthesizes current evidence on the epidemiology, injury patterns, management, and prevention of e-scooter-related orthopedic trauma.

Indexed as

electric scootere-scooterfracturesmicromobilityorthopedic injuriestrauma

Identifiers

PMID41281062
PMCPMC12636046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.