Evidence map›Paper›PMID 33417113›Full record

ArticleEmergency radiology2021

Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity.

Sameh Mostafa Azab, Ashraf Anas Zytoon, Zeinab Abdel Aziz Kasemy, Suzan Fouad Omar, Suzy Fayez Ewida, Karim Ayman Sakr, Tarek Fawzy Abd Ella

Abstract readMulticenter Study
In one paragraph

Article in Emergency radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Iron and iron-related proteins in COVID-19.Clinical and experimental medicine · 2023
    Review
  2. Article
  3. Observational
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.

Sameh Mostafa AzabRadiodiagnosis Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Ashraf Anas ZytoonRadiodiagnosis Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt. ashradio@gmail.com.ORCID http://orcid.org/0000-0002-8997-8042
Zeinab Abdel Aziz KasemyPublic Health and Community Medicine Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Suzan Fouad OmarRadiodiagnosis Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Suzy Fayez EwidaClinical Physiology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.
Karim Ayman SakrSchool of Health Sciences, Western University, London, Ontario, Canada.
Tarek Fawzy Abd EllaRadiodiagnosis Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe classic chest CT imaging features of COVID-19 pneumonia have low specificity due to their similarity with a number of other conditions. So, the goal of the present study is to learn from the pathophysiology of COVID-19 clinical features, laboratory results, and high-resolution CT manifestations in different stages of disease severity to provide significant reference values for diagnosis, prevention, and treatment.

methodsThis was a multicentered study that included 128 patients. Demographic, clinical, and laboratory data, in addition to chest HRCT findings, were evaluated. According to chest HRCT features, radiologic scoring were grade 1 and 2 for mild grades of the disease, 3 and 4 for moderate grades of the disease, and 5 and 6 for severe grades of the disease.

resultsPatient clinical symptoms ranged between fever, dry cough, muscle ache (myalgia)/fatigue, dyspnea, hyposomia, sore throat, and diarrhea. Lymphocytes and WBCs were significantly lower in patients with severe COVID-19. A significant negative correlation was found with WBCs (r = - 0.245, P = 0.005), lymphocytes% (r = - 0.586, P < 0.001), RBCs (r = - 0.2488, P = 0.005), Hb (gm/dl) (r = - 0.342, P < 0.001), and HCT (r = - 0.377, P < 0.001). Transferrin and CRP were significantly higher in moderate and severe COVID-19 than mild degree and showed a significant positive correlation with CT score (r = 0.356, P < 0.001) and (r = 0.429, P < 0.001), respectively. The most common CT features were peripheral pulmonary GGO and air space consolidation.

conclusionClinical features, laboratory assessment, and HRCT imaging had their characteristic signs and performances. Correlating them can make it possible for physicians and radiologists to quickly obtain the final diagnosis and staging of the COVID-19 pneumonia.

Indexed as

Tomography, X-Ray ComputedAdolescentAdultAgedBiomarkersCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2Severity of Illness IndexBiomarkersCOVID-19 pneumoniaGGOHigh-resolution CTPathophysiological

Identifiers

PMID33417113
PMCPMC7791339

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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.