Evidence map›Paper›PMID 34758026›Full record

ArticlePloS one2021

Factors associated with police shooting mortality: A focus on race and a plea for more comprehensive data.

Justin Nix, John A Shjarback

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Policing as a Structural Determinant of Health.Annual review of public health · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Justin NixSchool of Criminology and Criminal Justice, University of Nebraska Omaha, Omaha, NE, United States of America.ORCID 0000-0002-3812-8590
John A ShjarbackDepartment of Law and Justice Studies, Rowan University, Glassboro, NJ, United States of America.ORCID 0000-0001-7416-3388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo quantify nonfatal injurious police shootings of people and examine the factors associated with victim mortality.

methodsWe gathered victim-level data on fatal and nonfatal injurious police shootings from four states that have such information publicly available: Florida (2009-14), Colorado (2010-19), Texas (2015-19), and California (2016-19). For each state, we examined bivariate associations between mortality and race/ethnicity, gender, age, weapon, and access to trauma care. We also estimated logistic regression models predicting victim mortality in each state.

resultsForty-five percent of these police shooting victims (N = 1,322) did not die. Black-white disparities were more pronounced in nonfatal injurious police shootings than in fatal police shootings. Overall, Black victims were less likely than white victims to die from their wound(s). Younger victims were less likely to die from their wound(s), as well as those who were unarmed.

conclusionsRacial and age disparities in police shootings are likely more pronounced than previous estimates suggest. POLICY IMPLICATIONS: Other states should strongly consider compiling data like that which is currently being gathered in California. Absent data on nonfatal injurious police shootings-which account for a large share of deadly force incidents-researchers and analysts must be cautious about comparing and/or ranking jurisdictions in terms of their police-involved fatality rates.

Indexed as

PoliceAdultAge FactorsBlack or African AmericanBlack PeopleCrime VictimsFemaleGun ViolenceHomicideHumansMaleMiddle AgedUnited StatesWhite PeopleWounds, GunshotYoung Adult

Identifiers

PMID34758026
PMCPMC8580236

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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.