Evidence map›Paper›PMID 36452055›Full record

ArticleBJR open2022

Radiomorphological signs and clinical severity of SARS-CoV-2 lineage B.1.1.7.

Judit Simon, Kajetan Grodecki, Sebastian Cadet, Aditya Killekar, Piotr Slomka, Samuel James Zara, Emese Zsarnóczay, Chiara Nardocci, Norbert Nagy, Katalin Kristóf and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJR open, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Judit Simon
Kajetan Grodecki
Sebastian CadetBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Aditya KillekarBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Piotr SlomkaBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Samuel James ZaraMedical Imaging Centre, Semmelweis University, Budapest, Hungary.
Emese Zsarnóczay
Chiara NardocciMedical Imaging Centre, Semmelweis University, Budapest, Hungary.
Norbert NagyMedical Imaging Centre, Semmelweis University, Budapest, Hungary.
Katalin KristófDepartment of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Barna VásárhelyiDepartment of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Veronika MüllerDepartment of Pulmonology, Semmelweis University, Budapest, Hungary.
Béla MerkelyMTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Pál Maurovich-Horvat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to assess the differences in the severity and chest-CT radiomorphological signs of SARS-CoV-2 B.1.1.7 and non-B.1.1.7 variants. Methods: We collected clinical data of consecutive patients with laboratory-confirmed COVID-19 and chest-CT imaging who were admitted to the Emergency Department between September 1- November 13, 2020 (non-B.1.1.7 cases) and March 1-March 18, 2021 (B.1.1.7 cases). We also examined the differences in the severity and radiomorphological features associated with COVID-19 pneumonia. Total pneumonia burden (%), mean attenuation of ground-glass opacities and consolidation were quantified using deep-learning research software. Results: The final population comprised 500 B.1.1.7 and 500 non-B.1.1.7 cases. Patients with B.1.1.7 infection were younger (58.5 ± 15.6 vs 64.8 ± 17.3; Conclusion: Despite B.1.1.7 patients were younger and had fewer comorbidities, they experienced more severe disease than non-B.1.1.7 patients, however, the risk of death was the same between the two groups. Advances in knowledge: Our study provides data on deep-learning based quantitative lung lesion burden and clinical outcomes of patients infected by B.1.1.7 VOC. Our findings might serve as a model for later investigations, as new variants are emerging across the globe.

Identifiers

PMID36452055
PMCPMC9667478

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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.