Evidence map›Paper›PMID 36188739›Full record

ArticleWorld journal of virology2022

Effect of age on computed tomography findings: Specificity and sensitivity in coronavirus disease 2019 infection.

Erdal Karavas, Edhem Unver, Sonay Aydın, Gonul Seven Yalcin, Erdem Fatihoglu, Ufuk Kuyrukluyildiz, Yusuf Kemal Arslan, Mustafa Yazici

Abstract read
In one paragraph

Article in World journal of virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Chest radiography in interstitial lung disease: Accuracy and radiological features from a systematic review and meta-analysis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
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.

Erdal KaravasDepartment of Radiology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.
Edhem UnverDepartment of Pulmonology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.
Sonay AydınDepartment of Radiology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey. sonay.aydin@erzincan.edu.tr.
Gonul Seven YalcinDepartment of Pulmonology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.
Erdem FatihogluDepartment of Radiology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.
Ufuk KuyrukluyildizDepartment of Anesthesiology and Reanimation, Erzincan Binali Yıldırım University, Erzincan 24100, Turkey.
Yusuf Kemal ArslanDepartment of Biostatistics, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.
Mustafa YaziciDepartment of Dermatology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is a pandemic caused by the severe acute respiratory syndrome coronavirus in 2019. Although the real-time reverse tr-anscription PCR test for viral nucleic acids is the gold standard for COVID-19 diagnosis, computed tomography (CT) has grown in importance.

aimTo evaluate the sensitivity and specificity of thoracic CT findings of COVID-19 pneumonia according to age groups.

methodsPCR and CT results from 411 patients were reviewed. The diagnosis of COVID-19 pneumonia was made by three radiologists. Lymphadenopathy, pericardial effusion, pleurisy, pleural thickening, pleural effusion, location features of the lesions, ground glass, consolidation, air bronchogram, vascular enlargement, bronchial dilatation, halo finding, inverted halo sign, nodularity, air bubble, subpleural band (curvilinear density), reticular density, crazy paving pattern, and fibrosis findings were recorded. The patients were divided into nine groups by decades while calculating the sensitivity, specificity, and diagnostic efficacy for CT positivity.

resultsThe mean age of the cases was 48.1 ± 22.7 years. The CT finding with the highest diagnostic power was ground glass. Vascular enlargement and bronchial dilatation followed ground glass. Peri-cardial effusion was the finding with the lowest diagnostic accuracy. The incidence of lymphadenopathy, pleurisy, pleural thickening, peripheral localization, bilateral, ground glass, vascular enlargement, bronchial dilatation, subpleural band, reticular density, crazy paving appearance, and fibrosis all increased increase significantly with age in patients with positive real-time reverse transcription PCR test.

conclusionThere are few publications comparing sensitivity and specificity of thoracic CT findings according to age. In cases of COVID-19 pneumonia, there is an increase in the variety and frequency of CT findings with age, and parallel to this the sensitivity and specificity of the findings increase. COVID-19 cases in the pediatric age group have fewer lung findings than adults, and this situation decreases the diagnostic value of CT in pediatric patients.

Indexed as

COVID-19DiagnosisPediatric ageSARS-CoV-2Thoracic computerized tomography

Identifiers

PMID36188739
PMCPMC9523317

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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.