Evidence map›Paper›PMID 34148669›Full record

SynthesisAmerican journal of surgery2021

Violent trauma as an indirect impact of the COVID-19 pandemic: A systematic review of hospital reported trauma.

Kaylin Beiter, Ellery Hayden, Stephen Phillippi, Erich Conrad, John Hunt

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in American journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

5 authors at 1 institution in 1 country.

Kaylin BeiterLouisiana State University Health Sciences Center, United States. Electronic address: Kbeite@lsuhsc.edu.
Ellery HaydenLouisiana State University Health Sciences Center, United States.
Stephen PhillippiLouisiana State University Health Sciences Center, United States.
Erich ConradLouisiana State University Health Sciences Center, United States.
John HuntLouisiana State University Health Sciences Center, United States.
Louisiana State University Health Sciences Center New Orleans · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has exacerbated many social conditions associated with violence. The objective of this systematic review was to examine trends in hospital reported violent trauma associated with the pandemic.

methodsDatabases were searched in using terms "trauma" or "violence" and "COVID-19," yielding 4,473 records (2,194 de-duplicated). Exclusion criteria included non-hospital based studies and studies not reporting on violent trauma. 44 studies were included in the final review.

resultsMost studies reported no change in violent trauma incidence. Studies predominately assessed trends with violent trauma as a proportion of all trauma. All studies demonstrating an increase in violent trauma were located in the United States.

conclusionsA disproportionate rise in violence has been reported within the US. However, most studies examined violent trauma as a proportion of all trauma; results may reflect relative changes from lockdowns. Future studies should examine rates of violent trauma to provide additional context.

Indexed as

COVID-19Global HealthHospitalizationHumansViolenceWounds and InjuriesCOVID-19Systematic reviewTraumaViolence

Identifiers

PMID34148669
PMCPMC8129999
OpenAlexW3163058527

What OpenQuestion holds

Textmetadata
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.