Evidence map›Paper›PMID 35284798›Full record

ArticleNorthern clinics of Istanbul2021

Frequency of typical and atypical computed tomography findings of COVID-19 and their effect on hospitalization.

Mahmut Corapli, Ercan Cil, Cemil Oktay, Haci Taner Bulut, Gokhan Corapli

Open access · diamondAbstract read
In one paragraph

Article in Northern clinics of Istanbul, 2021. 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
0.1field-weighted citation impact, top 54% 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, 1 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

5 authors at 1 institution in 1 country.

Mahmut CorapliDepartment of Radiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.ORCID https://orcid.org/0000-0002-4223-7845
Ercan CilDepartment of Chest Diseases, Adiyaman University Faculty of Medicine, Adiyaman, Turkey.ORCID https://orcid.org/0000-0002-8981-4232
Cemil OktayDepartment of Radiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.ORCID https://orcid.org/0000-0002-1595-8014
Haci Taner BulutDepartment of Radiology, Adiyaman University Faculty of Medicine, Adiyaman, Turkey.ORCID https://orcid.org/0000-0002-8152-2497
Gokhan CorapliDepartment of Chest Diseases, Yuksekova State Hospital, Hakkari, Turkey.ORCID https://orcid.org/0000-0002-3992-840X
Adıyaman University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to determine the frequency of typical and atypical computed tomography (CT) findings of COVID-19 and their effect on hospitalization. Methods: We retrospectively assessed 414 patients who were diagnosed with COVID-19 by real-time reverse transcription-polymerase chain reaction and who had lung involvement in their admission chest CT. We evaluated the frequency of typical and atypical chest CT findings and analyzed the relationship between typical and atypical findings of COVID-19 in patients treated in ambulatory versus inpatient settings. Results: Ground-glass opacities were the most common typical finding of COVID-19 chest CT scans. The frequencies of other typical findings, including consolidation, air bronchogram, pulmonary vascular enlargement (PVE), airway changes, crazy paving pattern, and reticular pattern, were similar to those reported in the literature. Atypical findings were less common and found at varying frequencies. Crazy paving pattern, air bronchogram, reticular pattern, and PVE were significantly more common in hospitalized patients (p<0.001). The frequencies of other typical and atypical findings were not significantly different between ambulatory and hospitalized patients. Conclusion: Increased recognition of typical and atypical findings of COVID-19 and their frequencies, as well as knowledge of admission chest CT findings that are associated with hospitalization, will facilitate medical care during the pandemic.

Indexed as

Atypical findingscomputed tomographyCOVID-19ground-glass opacity

Identifiers

PMID35284798
PMCPMC8848491
OpenAlexW4206461584

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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.