Evidence map›Paper›PMID 36050639›Full record

ArticleBMC emergency medicine2022

Risk of hospital admission related to scooter trauma injuries: a national emergency room database study.

Sergio M Navarro, Victor R Vakayil, Rafat H Solaiman, Evan J Keil, Matthew W Cohen, Ellen J Spartz, Christopher J Tignanelli, James V Harmon

Abstract read
In one paragraph

Article in BMC emergency medicine, 2022. 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. Orthopaedic injuries among adults associated with electric skateboard use.OTA international : the open access journal of orthopaedic trauma · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Electric scooters as a silent source of danger in increasing use among young people: a single-center in-depth accident analysis.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2023
    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

8 authors.

Sergio M NavarroDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA. navar176@umn.edu.ORCID 0000-0003-3455-1567
Victor R VakayilDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
Rafat H SolaimanDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
Evan J KeilDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
Matthew W CohenDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
Ellen J SpartzDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
Christopher J TignanelliDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.
James V HarmonDepartment of Surgery, University of Minnesota, 420 Delaware St SE, Minneapolis, MN, 55455, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated key risk factors for hospital admission related to powered scooters, which are modes of transportation with increasing accessibility across the United States (US).

methodsWe queried the National Electronic Injury Surveillance System (NEISS) for injuries related to powered scooters, obtaining US population projections of injuries and hospital admissions. We determined mechanism of injury, characterized injury types, and performed multivariate regression analyses to determine factors associated with hospital admission.

resultsOne thousand one hundred ninety-one patients sustained electric-motorized scooter (e-scooter) injuries and 10.9% (131) required hospitalization from 2013 to 2018. This extrapolated to a US annual total of 862 (95% CI:745-979) scooter injuries requiring hospitalization, with estimated annual mortality of 6.7 patients per year (95% CI:4.8-8.5). The incidence of hospital admissions increased by an average of 13.1% each year of the study period. Fall (79 [60%]) and motor vehicle collision (33 [25%]) were the most common mechanism. Injury locations included head (44 [34%]), lower extremity (22 [17%]), and lower trunk (16 [12%]). On multivariable analysis, significant factors associated with admission included increased age (OR 1.02, 95% CI:1.01-1.02), torso injuries (OR 6.19, 2.93-13.10), concussion (25.45, 5.88-110.18), fractures (21.98, 7.13-67.66), musculoskeletal injury (6.65, 1.20-36.99), and collision with vehicle (3.343, 2.009-5.562). Scooter speed, seasonality, and gender were not associated with risk of hospitalization.

conclusionOur findings show increased hospital admissions and mortality from powered scooter trauma, with fall and motor vehicle collisions as the most common mechanisms resulting in hospitalization. This calls for improved rider safety measures and regulation surrounding vehicular collision scenarios.

Indexed as

Accidents, TrafficFractures, BoneEmergency Service, HospitalHead Protective DevicesHospitalizationHospitalsHumansRetrospective StudiesUnited StatesEpidemiologyHelmets, safety, regulationsInjuryModeling

Identifiers

PMID36050639
PMCPMC9438147

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.