Evidence map›Paper›PMID 39371886›Full record

ArticleCureus2024

Observational Study of the Clinical Impact of E-scooter Injuries at a Major Trauma Centre.

Arsany Metry, Nauman Manzoor, Kanishka Wattage, Fahad Hussain, Kerollos Khilla, Arnab Sain, Zain Sohail

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
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

7 authors.

Arsany MetryTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.
Nauman ManzoorTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.
Kanishka WattageTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.
Fahad HussainTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.
Kerollos KhillaTrauma and Orthopaedics, St Mary's Hospital, Isle of Wight NHS Trust, Isle of Wight, GBR.
Arnab SainTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.
Zain SohailTrauma and Orthopaedics, Worthing Hospital, University Hospitals Sussex NHS Foundation Trust, Worthing, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Due to the increased use of e-scooters in the UK, associated injuries have increased, and its cost has increased as well. Worldwide data on injuries related to e-scooter use are relatively limited, owing to the short duration since their first introduction to the public.  Aim There has been an increase in using e-scooters as a method of transport recently. It was noticed that the severity and frequency of its injuries are increasing as well. This study focuses on the frequency of e-scooter-associated injuries, especially open fractures, and to evaluate its burden on the health system. Methods Data on e-scooter injuries were extracted from our trauma database from November 2017 to July 2022. Patients' notes and images were reviewed. Outcome measures were the type of injuries: site of bony fractures, closed vs. open fracture (using Anderson and Gustilo classification), number of operations, complications, and length of hospital stay. Results The number of patients enrolled was 104. The mean age was 34.3 years, and 78.8% (n = 82) were male. The main mechanism of injury was riding (91%, n = 95) vs. hitting by an e-scooter (9%, n = 9). Injured patients were more likely not to wear helmets (82% of total injured patients). Patients with bony injuries were 65.4% (n = 68), with 22.1% (n = 15) of them being open fractures. The most common bony injuries were lower limb-only fractures at 45.6% (n = 31), then upper limb-only injuries at 39.7% (n = 27). Combined upper and lower limb cases were 8.8% (n = 6), and pelvic injuries were 5.9% (n = 4). Head and neck injuries composed 23.1% (n = 24) of the reported injuries, including intracranial haemorrhages (9.6%, n = 10), extensive traumatic brain injury (3.8%, n = 4), haematoma/lacerations (3.8%, n = 4), cervical spine fractures (1.9%, n = 2), and skull fractures (1.9%, n = 2). The mean duration of hospital stay was 8.6 days, and 9.6% (n = 10) of patients needed intensive therapy unit (ITU) admission. The number of patients presented as trauma calls was 55.8% (n = 58). Patients who needed surgical intervention either under orthopaedics or other specialties were 52.9% (n = 55) and 21.2% (n = 22) of total patients had complications either due to surgical intervention or a long hospital stay.  Conclusion E-scooter riding can lead to serious injuries that can end with limb- or life-threatening conditions. The most common demographic characteristics were adults in their early 30s. There should be more emphasis on wearing protective gear like wrist and elbow guards in addition to helmets. Future prospective studies with larger cohorts across multiple regions and hospitals are necessary to truly characterize the nature and cost of e-scooter injuries.

Indexed as

electric scooter accidentse-scooter injuriesmajor traumaopen injurypublic transport

Identifiers

PMID39371886
PMCPMC11456286

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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.