Evidence map›Paper›PMID 34189189›Full record

ArticleEuropean journal of radiology open2021

Frequency and spectrum of incidental findings when using chest CT as a primary triage tool for COVID-19.

Iris D Kilsdonk, Marlise P de Roos, Paul Bresser, Herre J Reesink, Jan Peringa

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Article in European journal of radiology open, 2021. 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

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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.

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4 · The record

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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.

Iris D KilsdonkDepartment of Radiology, OLVG Hospital, Amsterdam, the Netherlands.
Marlise P de RoosDepartment of Pulmonary Medicine, OLVG Hospital, Amsterdam, the Netherlands.
Paul BresserDepartment of Pulmonary Medicine, OLVG Hospital, Amsterdam, the Netherlands.
Herre J ReesinkDepartment of Pulmonary Medicine, OLVG Hospital, Amsterdam, the Netherlands.
Jan PeringaDepartment of Radiology, OLVG Hospital, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the prevalence and spectrum of incidental findings (IFs) identified in patients undergoing chest CT as a primary triage tool for COVID-19.

methodsIn this study 232 patients were triaged in our COVID-19 Screening Unit by means of a chest CT (March 25-April 23, 2020). Original radiology reports were evaluated retrospectively for the description of IFs, which were defined as any finding in the report not related to the purpose of the scan. Documented IFs were categorized according to clinical relevance into minor and potentially significant IFs and according to anatomical location into pulmonary, mediastinal, cardiovascular, breast, upper abdominal and skeletal categories. IFs were reported as frequencies and percentages; descriptive statistics were used.

resultsIn total 197 IFs were detected in 126 patients (54 % of the participants). Patients with IFs were on average older (54.0 years old, SD 16.6) than patients without IFs (44.8 years old, SD 14.6, P < 0.05). In total 60 potentially significant IFs were detected in 53 patients (23 % of the participants). Most often reported were coronary artery calcifications (n = 23, 38 % of total potentially significant IFs/ 10 % of the total study population), suspicious breast nodules (n = 7, 12 % of total potentially significant IFs/ 3% of the total study population) and pulmonary nodules (n = 7, 12 % of total potentially significant IFs/ 3% of the total study population).

conclusionA considerable number of IFs were detected by using chest CT as a primary triage tool for COVID-19, of which a substantial percentage (23 %) is potentially clinically relevant.

Indexed as

CAC, coronary artery calcificationsChest CTCOVID-19COVID-19, Coronavirus Disease 2019CSU, COVID-19 Screening UnitCT, computer tomographyIF, incidental findingIncidental findingsRT-PCR, reverse transcriptase-polymerase chain reactionScreening CT

Identifiers

PMID34189189
PMCPMC8226060

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