Evidence map›Paper›PMID 35969397›Full record

ArticleJAMA network open2022

Characteristics of Electric Scooter and Bicycle Injuries After Introduction of Electric Scooter Rentals in Oslo, Norway.

August Vincent Stray, Henrik Siverts, Knut Melhuus, Martine Enger, Pål Galteland, Ingar Næss, Eirik Helseth, Jon Ramm-Pettersen

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Maxillofacial fractures associated with electric scooter trauma: a cohort study from a national level I trauma center.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
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  3. Review
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  7. Alcohol and electric scooter injuries in an emergency department: a prospective observational study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Observational
  8. Observational
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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

8 authors.

August Vincent StrayDepartment of Maxillofacial Surgery, Oslo University Hospital, Norway.
Henrik SivertsDivision of Orthopaedic Surgery, Oslo University Hospital, Norway.
Knut MelhuusDivision of Orthopaedic Surgery, Oslo University Hospital, Norway.
Martine EngerDivision of Orthopaedic Surgery, Oslo University Hospital, Norway.
Pål GaltelandDepartment of Maxillofacial Surgery, Oslo University Hospital, Norway.
Ingar NæssInstitute of Clinical Medicine, Faculty of Medicine, Oslo University Hospital, Norway.
Eirik HelsethInstitute of Clinical Medicine, Faculty of Medicine, Oslo University Hospital, Norway.
Jon Ramm-PettersenDepartment of Neurosurgery, Oslo University Hospital, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: When society introduces and accepts new transportation modes, it is important to map risks and benefits. Objective: To compare electric scooter (e-scooter) and bicycle injuries. Design, Setting, and Participants: This cohort study is based on prospectively collected data on Norwegian patients who sustained e-scooter or bicycle injuries and presented to an emergency department affiliated with Oslo University Hospital between January 1, 2019, and March 31, 2020. Main Outcomes and Measures: e-Scooter and bicycle injuries were evaluated for associations with sex, age, time of injury, helmet use, intoxication, body region, and injury severity. Descriptive statistics are presented as mean (SD) or number with percentage, with significance set at P < .05 (2-tailed). Results: During the study period, 3191 patients were included (850 e-scooter riders, 2341 bicyclists) with 3839 injuries recorded (997 e-scooter, 2842 bicycle). The mean (SD) age of those injured was 34 (17) years, 2026 riders (63.5%) were male, 1474 (46.2%) were helmeted at the time of injury, and 516 (16.2%) were intoxicated by alcohol or other drugs. The annual incidence of injuries was 120 per 100 000 inhabitants for e-scooters and 340 per 100 000 inhabitants for bicycles. Men were overrepresented in both groups (529 e-scooter riders [62.2%] and 1497 bicyclists [63.9%]). e-Scooter riders were younger than bicyclists (mean [SD] age, 31 [12] vs 35 [18] years). Most injured e-scooter riders were aged 20 to 40 years, whereas injured bicyclists had a broader age distribution. e-Scooter injuries commonly occurred on weekends (378 [46.6%]) and during evening (230 [32.3%]) or nighttime (242 [34.1%]) hours. Most bicycle injuries occurred during weekdays (1586 [69.7%]) and daytime (1762 [61.3%]). e-Scooter riders were more often intoxicated (336 [39.5%] vs 180 [7.7%]) and had a lower rate of helmet use (18 [2.1%] vs 1456 [62.2%]). During nighttime, 230 injured e-scooter riders (91.3%) and 86 bicyclists (69.4%) were intoxicated. e-Scooter riders had more head and neck (317 [31.7%] vs 636 [22.4%]) and lower-limb (285 [28.6%] vs 632 [22.2%]) injuries and fewer upper-limb (341 [34.2%] vs 1276 [44.9%]), thoracic (41 [4.1%] vs 195 [6.9%]), and abdominal, pelvic, and lumbar (13 [1.3%] vs 103 [3.6%]) injuries. Conclusions and Relevance: In this cohort study, e-scooter riders were younger than bicyclists, did not use helmets, were more often intoxicated, and were more often injured during nighttime. The rate of intoxication among e-scooter riders injured at night was high. Preventive measures, including awareness campaigns, regulating e-scooter availability, improving infrastructure, and implementing stricter helmet and alcohol policies, may prove effective for reducing injuries.

Indexed as

BicyclingHead Protective DevicesAdultAge DistributionCohort StudiesEmergency Service, HospitalFemaleHumansMale

Identifiers

PMID35969397
PMCPMC9379742

What OpenQuestion holds

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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.