Evidence map›Paper›PMID 31519669›Full record

ArticleBMJ open2019

Evaluating the impact of cycle helmet use on severe traumatic brain injury and death in a national cohort of over 11000 pedal cyclists: a retrospective study from the NHS England Trauma Audit and Research Network dataset.

Nick Dodds, Rowena Johnson, Benjamin Walton, Omar Bouamra, David Yates, Fiona Elizabeth Lecky, Julian Thompson

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Hospitalizations After Bicycle Accidents: Injury Patterns, Severity and Costs.International journal of environmental research and public health · 2026
    Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Major trauma among E-Scooter and bicycle users: a nationwide cohort study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Nick DoddsNorth Bristol NHS Trust, Westbury on Trym, Bristol, UK.ORCID 0000-0002-1345-3055
Rowena JohnsonNorth Bristol NHS Trust, Westbury on Trym, Bristol, UK.
Benjamin WaltonNorth Bristol NHS Trust, Westbury on Trym, Bristol, UK.
Omar BouamraInstitute of Population Health, Trauma Audit and Research Network, Salford, UK.
David YatesInstitute of Population Health, Trauma Audit and Research Network, Salford, UK.
Fiona Elizabeth LeckySchool of Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0001-6806-0921
Julian ThompsonNorth Bristol NHS Trust, Westbury on Trym, Bristol, UK.
North Bristol NHS Trust · GBInstitute of Population, Health and Development · VNUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn the last 10 years there has been a significant increase in cycle traffic in the UK, with an associated increase in the overall number of cycling injuries. Despite this, and the significant media, political and public health debate into this issue, there remains an absence of studies from the UK assessing the impact of helmet use on rates of serious injury presenting to the National Health Service (NHS) in cyclists.

settingThe NHS England Trauma Audit and Research Network (TARN) Database was interrogated to identify all adult (≥16 years) patients presenting to hospital with cycling-related major injuries, during a period from 14 March 2012 to 30 September 2017 (the last date for which a validated dataset was available).

participants11 patients met inclusion criteria. Data on the use of cycling helmets were available in 6621 patients. OUTCOME MEASURES: TARN injury descriptors were used to compare patterns of injury, care and mortality in helmeted versus non-helmeted cohorts.

resultsData on cycle helmet use were available for 6621 of the 11 192 cycle-related injuries entered onto the TARN Database in the 66 months of this study (93 excluded as not pedal cyclists). There was a significantly higher crude 30-day mortality in un-helmeted cyclists 5.6% (4.8%-6.6%) versus helmeted cyclists 1.8% (1.4%-2.2%) (p<0.001). Cycle helmet use was also associated with a reduction in severe traumatic brain injury (TBI) 19.1% (780, 18.0%-20.4%) versus 47.6% (1211, 45.6%-49.5%) (p<0.001), intensive care unit requirement 19.6% (797, 18.4%-20.8%) versus 27.1% (691, 25.4%-28.9%) (p<0.001) and neurosurgical intervention 2.5% (103, 2.1%-3.1%) versus 8.5% (217, 7.5%-9.7%) (p<0.001). There was a statistically significant increase in chest, spinal, upper and lower limb injury in the helmeted group in comparison to the un-helmeted group (all p<0.001), though in a subsequent analysis of these anatomical injury patterns, those cyclists wearing helmets were still found to have lower rates of TBI. In reviewing TARN injury codes for specific TBI and facial injuries, there was a highly significant decrease in rates of impact injury between cyclists wearing helmets and those not.

conclusionsThis study suggests that there is a significant correlation between use of cycle helmets and reduction in adjusted mortality and morbidity associated with TBI and facial injury.

Indexed as

AdultBicyclingBrain Injuries, TraumaticCase-Control StudiesDatasets as TopicEnglandFemaleHead Protective DevicesHumansInjury Severity ScoreMaleMiddle AgedRetrospective StudiesState Medicineepidemiologyhealth policypublic healthtrauma management

Identifiers

PMID31519669
PMCPMC6747631
OpenAlexW2972789679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.