Evidence map›Paper›PMID 39539879›Full record

ArticleCureus2024

Trends and Patterns in Bicycle Injuries: The Significance of Protective Equipment.

Graysen Pitcher, Andrew McCague, Austin Henken-Siefken

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. 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

3 authors.

Graysen PitcherSurgery, Western University of Health Sciences, Pomona, USA.
Andrew McCagueTrauma and Acute Care Surgery, Desert Regional Medical Center, Palm Springs, USA.
Austin Henken-SiefkenSurgery, Desert Regional Medical Center, Palm Springs, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction This research presents a five-year comprehensive analysis of trends and efficacy related to helmet and protective equipment use in bicycle-related incidents. Our areas of comparison included injury severity, hospital stay, the Glasgow Coma Scale (GCS) scores, and demographic data. In light of the current increase in bicycle use popularity, this study aimed to provide clear information regarding the significance of protective equipment to combat the surge in bicycle-related incidents in recent years.  Methods A retrospective analysis was performed using the National Trauma Data Standard (NTDS) as a data source. Our inclusion criteria considered the mechanism of injury involving bicycle incidents, narrowing our pool of patients to 135,605. These cases were screened based on the following parameters: use of helmet/protective equipment, demographic criteria, and several other injury markers. Statistical analyses, including two sample t-tests, were performed using SAS.  Results A total of 5.7 million patients were screened for inclusion criteria, yielding 135,605 cases involving bicycle-related injuries between 2018 and 2022. Of the patients who met the inclusion criteria, patients wearing helmets had an overall high GCS score (p<0.001) and decreased hospital stay (p<0.001) compared to those without helmet use. Similar findings were drawn related to protective equipment use and GCS (p<0.001). The Injury Severity Score (ISS) on average was higher for those wearing helmets (p<0.001). Overall, an increase in helmet use was noted for the years in question (R

Indexed as

bicycle accidentbicycle crashbicycle helmetbicycle injuriesbicycle protective

Identifiers

PMID39539879
PMCPMC11559271

What OpenQuestion holds

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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.