Evidence map›Paper›PMID 34997894›Full record

ArticleEmergency radiology2022

Retrospective analysis of the application of CT scan in the emergency department to screen clinically asymptomatic COVID-19 before hospital admission.

Giovanni Volpicelli, Thomas Fraccalini, Matteo Barba, Claudia Fischetto, Guido Maggiani, Andrea Veltri, Luciano Cardinale

Open access · bronzeAbstract read
In one paragraph

Article in Emergency radiology, 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
0.3field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 1 institution in 1 country.

Giovanni VolpicelliDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy. giovi.volpicelli@gmail.com.ORCID http://orcid.org/0000-0003-1000-6054
Thomas FraccaliniDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Matteo BarbaDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Claudia FischettoDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Guido MaggianiDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Andrea VeltriDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Luciano CardinaleDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy.
Ospedale San Luigi Gonzaga · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe necessity to identify and isolate COVID-19 patients to avoid intrahospital cross infections is particularly felt as a challenge. Clinically occult SARS-CoV-2 infection among patients admitted to the hospital is always considered a risk during the pandemic. The aim of our study is to describe the application of CT scan to reveal unexpected COVID-19 in patients needing hospital admission.

methodIn our emergency department, we prospectively enrolled adult patients needing hospital admission, without symptoms suspected of COVID-19, and showing negative reverse transcriptase-polymerase chain reaction (RT-PCR) swab test. CT scan was performed to diagnose clinically occult COVID-19 pneumonia. All the exams were read and discussed retrospectively by two expert radiologists and assigned to one of 4 exclusive diagnoses: typical (typCT), indeterminate (indCT), atypical (atyCT), negative (negCT). The clinical characteristics and final diagnoses were described and compared with the results of CT scans.

resultsFrom May 25 to August 18, 2020, we prospectively enrolled 197 patients. They showed 122 negCT, 52 atyCT, 22 indCT, and 1 typCT. Based on the CT imaging, the prevalence of suspected clinically occult COVID-19 pneumonia was 11.6% (23 patients). None had confirmation of SARS-CoV-2 infection after the hospital stay. Nineteen patients had negative serial RT-PCR while in 4 cases, the infection was excluded by clinical follow-up or appearance of positivity of RT-PCR after months.

conclusionOur descriptive analysis confirms that CT scan cannot be considered a valid tool to screen clinically occult COVID-19, when the asymptomatic patients need hospitalization for other conditions. Application of personnel protections and distancing among patients remains the best strategies to limit the possibility of intrahospital cross-infections.

Indexed as

COVID-19AdultEmergency Service, HospitalHospitalizationHospitalsHumansRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedChest imagingCOVID-19 pandemicThoracic CT scanThoracic imaging

Identifiers

PMID34997894
PMCPMC8742161
OpenAlexW4205705750

What OpenQuestion holds

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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.