Evidence map›Paper›PMID 37561926›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2023

Examining the Healthcare and Economic Burden of Gun Violence in a Major US Metropolitan City.

Julia H Silver, Tolulope A Ramos, Michaela A Stamm, Paul B Gladden, Murphy P Martin, Mary K Mulcahey

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2023. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. 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

6 authors.

Julia H SilverTulane University School of Medicine, New Orleans, LA (Dr. Silver and Dr. Ramos); the Department of Orthopaedic Surgery, Tulane University School of Medicine, New Orleans, LA (Ms. Stamm, Dr. Gladden, Dr. Martin, Dr. Mulcahey).
Tolulope A Ramos
Michaela A Stamm
Paul B Gladden
Murphy P Martin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe highest rates of fatal and nonfatal injury due to firearms occur in the Southern United States. This study examined the epidemiology of gunshot wound (GSW) injuries and the association of injury severity with mortality.

methodsThis is a retrospective cross-sectional analysis of 2016 to 2019 data from a mandatory reporting system for all licensed hospitals in Louisiana. Patients aged 18 years and older at the time of hospitalization for GSW were included. Injury severity was measured by the New Injury Severity Score (NISS). Primary outcomes assessed included mortality, length of stay, and total hospital charges.

resultsThere were 1,709 firearm injuries identified. The patient sample was 83.2% Black and 87.4% male, with a mean age of 34 years. Orthopaedics was the most frequently consulted surgical service. Total hospital visit charges for all GSW-associated care were $262.4 million. The multivariable adjusted odds ratio and 95% confidence interval for mortality associated with a high NISS was 16.32 (8.96, 29.72).

conclusionThis study demonstrated the utility of NISS as a predictor of total hospital charges and length of stay, in addition to its well-established role as a predictor of mortality. Epidemiologic trends in GSW pathologies and associated procedures at a major urban trauma center were also reported. LEVEL OF EVIDENCE: Level III, prognostic study.

Indexed as

FirearmsGun ViolenceWounds, GunshotAdultCross-Sectional StudiesDelivery of Health CareFemaleFinancial StressHumansMaleRetrospective StudiesUnited States

Identifiers

PMID37561926
PMCPMC10412425

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Registered trials

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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.