Evidence map›Paper›PMID 35605878›Full record

ArticlePreventive medicine2022

Gun shows and universal background check laws across state lines.

Ariana N Gobaud, Christopher N Morrison, Christina A Mehranbod, Mark H Hoofnagle

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Ariana N GobaudDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States of America. Electronic address: ang2167@cumc.columbia.edu.
Christopher N MorrisonDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States of America; Department of Epidemiology and Preventive Medicine, Monash University School of Public Health and Preventive Medicine, Melbourne, Australia.
Christina A MehranbodDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States of America.
Mark H HoofnagleDepartment of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO, United States of America.

Funding

CE19-001, The Columbia Center for Injury Science and Prevention (CCISP)R49CE003094 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRANAS, CHARLES C. · 2018 to 2023
$4.3M
ACL HHS R49CE003094NCIPC CDC HHS R49 CE003094
6 · The paper itself

Abstract

States with more gun laws have fewer gun assaults, and associations are strongest for background check laws. However, sales between private buyers and sellers (i.e., gun shows) are exempt from some background check requirements according to federal and most state laws. The aim of this study was to determine whether gun shows are more likely to take place in counties that are near states with universal background check laws. This cross-sectional study used gun show data from a 2018 public online listing aggregated within 3107 counties in the contiguous 48 states. The main independent variable was the presence of a universal background check law in neighboring states. We controlled for potential drivers of demand for gun shows, including the total number of gun laws within-state and in neighboring states, local and in-flowing population size, and proportion of the local and in-flowing population who were gun owners. Bayesian conditional autoregressive Poisson models estimated associations between neighboring-state universal background check law and the presence of a gun show in each county while accounting for spatial dependencies and nesting of counties within states. Of the 1869 identified gun shows, nine of the states in which they occurred had a universal background check law. The presence of excess gun shows in counties near states with universal background check laws is consistent with the hypothesis that gun shows service demand from people seeking to circumvent prohibitions against gun purchases.

Indexed as

FirearmsBayes TheoremCommerceCross-Sectional StudiesHumansPopulation DensityUnited StatesBackground check lawsGunsGun shows

Identifiers

PMID35605878
PMCPMC10111879

What OpenQuestion holds

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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.