Evidence map›Paper›PMID 35694183›Full record

ArticleRadiology research and practice2022

Impact of COVID-19 Pandemic on Trauma CT Imaging.

Yi Yan, Kai Hu, Kevin Shek, Jun Li, Shady Attalla, John Ross Bonanni, Jai Jai Shankar, Lisa McPhee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yi YanRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.
Kai HuDepartment of Neurology, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha 410008, Hunan, China.ORCID https://orcid.org/0000-0003-4416-2821
Kevin ShekRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.
Jun LiRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.
Shady AttallaAin Shams University, Ramsis Street, Abbassia Square, Cairo 11566, Egypt.
John Ross BonanniRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.
Jai Jai ShankarRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.
Lisa McPheeRady Faculty of Health Sciences, Radiology Department, University of Manitoba, GA216-820 Sherbrook Street, Winnipeg R3A 1R9, MB, Canada.ORCID https://orcid.org/0000-0002-5075-8253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The goal of this study was to understand the impact of COVID-19 pandemic and associated lockdown measures on the volume, rate, and type of trauma presenting to the emergency department (ED) by using trauma-initiated CT studies to capture patient data. Materials and Methods: We performed a retrospective observational study comparing patients undergoing CT scans for trauma during the 1 Results: There was no significant difference in overall trauma-initiated CT scans between the prepandemic and pandemic levels. Motor vehicle collision (MVC) cases decreased from 18.2% to 15.6% during the first lockdown period ( Conclusion: The total number of trauma-initiated CT scans did not significantly decrease during the lockdown periods. Stabbings and falls increased during lockdown periods while MVCs and blunt trauma decreased.

Identifiers

PMID35694183
PMCPMC9184200

What OpenQuestion holds

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LicenceCC BY
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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.