Evidence map›Paper›PMID 37152190›Full record

ArticleCurrent epidemiology reports2022

Causal Inference with Case-Only Studies in Injury Epidemiology Research.

Andrew G Rundle, Michael D M Bader, Charles C Branas, Gina S Lovasi, Stephen J Mooney, Christopher N Morrison, Kathryn M Neckerman

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current epidemiology reports, 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
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Can We Interpret Analyses of Etiologic Heterogeneity When Molecular Markers Are Used to Classify Tumors?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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

7 authors at 4 institutions in 1 country.

Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 727, New York, NY 10032, USA.
Michael D M BaderDepartment of Sociology, Johns Hopkins University, Baltimore, MD, USA.
Charles C BranasDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 727, New York, NY 10032, USA.
Gina S LovasiDepartment of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, USA.
Stephen J MooneyDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 727, New York, NY 10032, USA.
Kathryn M NeckermanDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 727, New York, NY 10032, USA.
New York University · USDrexel University · USJohns Hopkins University · USUniversity of Washington · US

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
Influences Of In-Person Social Networks, Digital Social Networks And Neighborhoods On Adolescent Alcohol ConsumptionK01AA026327 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORRISON, CHRISTOPHER NEIL · 2018 to 2022
$903k
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsR00LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2019 to 2021
$687k
NCIPC CDC HHS R49 CE003094NIAAA NIH HHS K01 AA026327NIAAA NIH HHS R01 AA028552NLM NIH HHS R00 LM012868
6 · The paper itself

Abstract

Purpose of Review: We review the application and limitations of two implementations of the "case-only design" in injury epidemiology with example analyses of Fatality Analysis Reporting System data. Recent Findings: The term "case-only design" covers a variety of epidemiologic designs; here, two implementations of the design are reviewed: (1) studies to uncover etiological heterogeneity and (2) studies to measure exposure effect modification. These two designs produce results that require different interpretations and rely upon different assumptions. The key assumption of case-only designs for exposure effect modification, the more commonly used of the two designs, does not commonly hold for injuries and so results from studies using this design cannot be interpreted. Case-only designs to identify etiological heterogeneity in injury risk are interpretable but only when the case-series is conceptualized as arising from an underlying cohort. Summary: The results of studies using case-only designs are commonly misinterpreted in the injury literature.

Indexed as

Case-only designEffect modificationEtiologic heterogeneityInjury researchPedestrian injuryStudy design

Identifiers

PMID37152190
PMCPMC10161782
OpenAlexW4298002313

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.