Evidence map›Paper›PMID 35000879›Full record

ArticleRespiratory investigation2022

Evaluation of thorax computed tomographic findings in COVID-19 variant cases.

F Dilek Gökharman, Günay Tuncer Ertem, Sonay Aydın, Ayşe Büyükdemirci, Esra Yüksekkaya, Oğuzhan Tokur, Pınar N Koşar

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Article in Respiratory investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

F Dilek GökharmanDepartment of Radiology, Ankara Training and Research Hospital, Ankara, Turkey. Electronic address: dgokharman@yahoo.com.
Günay Tuncer ErtemDepartment of Infectious Diseases, Ankara Training and Research Hospital, Ankara, Turkey.
Sonay AydınDepartment of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey.
Ayşe BüyükdemirciDepartment of Infectious Diseases, Ankara Training and Research Hospital, Ankara, Turkey.
Esra YüksekkayaDepartment of Infectious Diseases, Ankara Training and Research Hospital, Ankara, Turkey.
Oğuzhan TokurDepartment of Radiology, Ankara Training and Research Hospital, Ankara, Turkey.
Pınar N KoşarDepartment of Radiology, Ankara Training and Research Hospital, Ankara, Turkey.
Ministry of Health · TRErzincan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause of genetic mutations occurring during viral replication, new SARS-CoV-2 variants will continue to emerge. Throughout the COVID-19 pandemic, thorax computed tomographic (CT) findings have played a crucial role in the diagnosis and follow-up of patients with COVID-19. In this study, we compared the thorax CT findings of patients infected with SARS-CoV-2 variants (variant group) with those of patients infected with the non-variant strain (non-variant group) to assess if thorax CT findings may be utilized to discriminate between the groups. Furthermore, we compared demographic and laboratory data between the groups.

methodsThe study comprised a total of 77 patients who presented to our hospital with a preliminary diagnosis of COVID-19 based on clinical symptoms, a positive oropharyngeal/nasopharyngeal swab RT-PCR testing, and thorax CT examinations. Patients' laboratory and demographic features as well as thorax CT findings were retrospectively evaluated, and the results were grouped according to RT-PCR results.

resultsThere were 42 patients in the non-variant group and 35 patients in the variant group. The average age of patients infected with the non-variant strain, alpha variant, and gamma variant was 63.52 ± 14.87 years, 54.86 ± 14.31 years, and 59.4 ± 17.79 years, respectively. The average age of the variant group was significantly lower than that of the non-variant group. There was no significant difference in thorax CT findings between the groups, and consolidation, ground glass densities, and cobblestone pattern in the bilateral lower lobes and peripheral areas were the most common thorax CT findings in both the groups.

conclusionThere is no significant difference in thorax CT findings between the variant and non-variant groups. Therefore, clinical and laboratory characteristics should take precedence over thorax CT findings for distinguishing between patients infected with SARS-CoV-2 variants and the non-variant strain.

Indexed as

COVID-19SARS-CoV-2AgedHumansLungMiddle AgedPandemicsRetrospective StudiesThoraxTomography, X-Ray ComputedCOVID-19PandemicThorax CTVariant

Identifiers

PMID35000879
PMCPMC8723831
OpenAlexW4205327337

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.