Evidence map›Paper›PMID 34024714›Full record

ArticleAcademic radiology2021

Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists.

Fariba Zarei, Reza Jalli, Pooya Iranpour, Sepideh Sefidbakht, Sahar Soltanabadi, Maryam Rezaee, Reza Jahankhah, Alireza Manafi

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Article in Academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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10citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

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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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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. Revista panamericana de salud publica = Pan American journal of public health · 2022
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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

8 authors.

Fariba ZareiDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Reza JalliDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Pooya IranpourDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sepideh SefidbakhtDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sahar SoltanabadiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam RezaeeDermatology Department, Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Reza JahankhahDepartment of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: jahankhah@sums.ac.ir.
Alireza ManafiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1 influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. MATERIALS AND

methodsThis cross-sectional study included a total of 43 COVID-19-confirmed patients (24 men and 19 women, 49.90 ± 18.70 years) and 41 influenza-confirmed patients (17 men and 24 women, 61.53 ± 19.50 years). Afterwards, the chest CT findings were recorded and 3 radiologists recorded their diagnoses of COVID-19 or of H1N1 influenza based on the CT findings.

resultsThe most frequent clinical symptom in patients with COVID-19 and H1N1 pneumonia were dyspnea (96.6%) and cough (62.5%), respectively. The CT findings showed that the COVID-19 group was characterized by GGO (88.1%), while the influenza group had features such as GGO (68.4%) and consolidation (66.7%). Compared to the influenza group, the COVID-19 group was more likely to have GGO (88.1% vs. 68.4%, p = 0.032), subpleural sparing (69.0% vs. 7.7%, p <0.001) and subpleural band (50.0% vs. 20.5%, p = 0.006), but less likely to have pleural effusion (4.8% vs. 33.3%, p = 0.001). The agreement rate between the 3 radiologists was 65.8%.

conclusionConsidering similarities of respiratory infections especially H1N1 and COVID-19, it is essential to introduce some clinical and para clinical modalities to help differentiating them. In our study we extracted some lung CT scan findings from patients suspected to COVID-19 as a newly diagnosed infection comparing with influenza pneumonia patients.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanCross-Sectional StudiesFemaleHumansLungMaleObserver VariationRadiologistsRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedCOVID-19CT scanH1N1Influenza pneumoniaRespiratory tract infection

Identifiers

PMID34024714
PMCPMC8112282

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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.