Evidence map›Paper›PMID 39393821›Full record

ArticleAmerican journal of epidemiology2024

Design of a Location-Based Case-Control Study of Built Environment Risk Factors for Pedestrian Fatalities in the U.S.

Andrew G Rundle, Stephen P Uong, Michael D M Bader, Eliza W Kinsey, Dirk Kinsey, Gina S Lovasi, Stephen J Mooney, Kathryn M Neckerman, James W Quinn

Abstract read
In one paragraph

Article in American journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Andrew G RundleDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0003-0211-7707
Stephen P UongDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Michael D M BaderDepartment of Sociology, Johns Hopkins University, Baltimore MD, United States.ORCID 0000-0001-6292-7790
Eliza W KinseyDepartment of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, United States.ORCID 0000-0003-4972-431X
Dirk KinseyDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0003-2324-9506
Gina S LovasiDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia PA, United States.ORCID 0000-0003-2613-9599
Stephen J MooneyDepartment of Epidemiology, University of Washington, Seattle WA, United States.ORCID 0000-0001-9092-938X
Kathryn M NeckermanColumbia Population Research Center, Columbia University, New York, NY, United States.ORCID 0000-0001-5163-4714
James W QuinnDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0002-5987-3872

Funding

Identifying alcohol-related and built environment factors that can be modified to prevent pedestrian road traffic deathR01AA028552 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RUNDLE, ANDREW G · 2021 to 2024
$2.6M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsR00LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2019 to 2021
$687k
National Institutes of Health National Institute on Alcohol Abuse and Alcoholism R01AA028552NIAAA NIH HHS R01 AA028552NLM NIH HHS R00 LM012868NLM NIH HHS R00LM012868
6 · The paper itself

Abstract

The location-based case-control design is a useful approach for studies where the exposures of interest are aspects of the environment around the location of a health event such as a pedestrian fatality. In this design locations are the unit of analysis and an enumerated cohort of locations are followed through time for the health events of interest and a case-control study of locations is nested within the cohort. Locations where events occurred (case-locations) are compared to matched locations where these events did not occur (control-locations). We describe the application of this design to the issue of pedestrian fatalities using a cohort of 9,612,698 intersections, 17,737,728 road segments, and 222,318 entrance/exit ramp segments that existed in 2017 across all 384 U.S. Metropolitan Statistical Areas. This cohort of locations was followed up from Jan 1, 2017 to Dec 31, 2018 for pedestrian fatalities using the National Highway Traffic Safety Administration Fatality Analysis Reporting System. In total, 10,587 fatalities were identified as having occurred on cohort locations and 21,174 matched control locations were selected using incidence density sampling. Geographic information systems, spatially linked administrative data sets and virtual neighborhood audits via Google Street View are underway to characterize study locations.

Indexed as

homelessnesslocation-based case-control studynightlifepedestrian fatalitypedestrian safety

Identifiers

PMID39393821
PMCPMC12234215

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.