Evidence map›Paper›PMID 25835304›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2015

Database improvements for motor vehicle/bicycle crash analysis.

Anne C Lusk, Morteza Asgarzadeh, Maryam S Farvid

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Analysis of Bicycle-Motor Vehicle Crashes in San Antonio, Texas.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. Cycle Tracks and Parking Environments in China: Learning from College Students at Peking University.International journal of environmental research and public health · 2017
    Article
  6. The role of intersection and street design on severity of bicycle-motor vehicle crashes.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2017
    Article
  7. Article
  8. 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

3 authors.

Anne C LuskDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA.
Morteza AsgarzadehDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-3391-6918
Maryam S FarvidDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-1783-4186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBicycling is healthy but needs to be safer for more to bike. Police crash templates are designed for reporting crashes between motor vehicles, but not between vehicles/bicycles. If written/drawn bicycle-crash-scene details exist, these are not entered into spreadsheets.

objectiveTo assess which bicycle-crash-scene data might be added to spreadsheets for analysis.

methodsPolice crash templates from 50 states were analysed. Reports for 3350 motor vehicle/bicycle crashes (2011) were obtained for the New York City area and 300 cases selected (with drawings and on roads with sharrows, bike lanes, cycle tracks and no bike provisions). Crashes were redrawn and new bicycle-crash-scene details were coded and entered into the existing spreadsheet. The association between severity of injuries and bicycle-crash-scene codes was evaluated using multiple logistic regression.

resultsPolice templates only consistently include pedal-cyclist and helmet. Bicycle-crash-scene coded variables for templates could include: 4 bicycle environments, 18 vehicle impact-points (opened-doors and mirrors), 4 bicycle impact-points, motor vehicle/bicycle crash patterns, in/out of the bicycle environment and bike/relevant motor vehicle categories. A test of including these variables suggested that, with bicyclists who had minor injuries as the control group, bicyclists on roads with bike lanes riding outside the lane had lower likelihood of severe injuries (OR, 0.40, 95% CI 0.16 to 0.98) compared with bicyclists riding on roads without bicycle facilities.

conclusionsPolice templates should include additional bicycle-crash-scene codes for entry into spreadsheets. Crash analysis, including with big data, could then be conducted on bicycle environments, motor vehicle potential impact points/doors/mirrors, bicycle potential impact points, motor vehicle characteristics, location and injury.

Indexed as

PoliceAccidents, TrafficBicyclingDatabases, FactualData CollectionHumansLogistic ModelsNew York CitySafetyTrauma Severity Indices

Identifiers

PMID25835304
PMCPMC4518761

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.