Evidence map›Paper›PMID 34007865›Full record

ArticleEuropean journal of radiology open2021

Role of High Resolution Computed Tomography chest in the diagnosis and evaluation of COVID -19 patients -A systematic review and meta-analysis.

Ahmed Ishfaq, Syed Muhammad Yousaf Farooq, Amber Goraya, Muhammad Yousaf, Syed Amir Gilani, Aafia Kiran, Muhammad Ayoub, Akhter Javed, Raham Bacha

Abstract read
In one paragraph

Article in European journal of radiology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  7. Review
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  9. Observational
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  12. In Response to: Corticosteroids in Non-severe COVID-19: Finding Window of Opportunity.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  13. Article
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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

9 authors.

Ahmed IshfaqThe Children's Hospital and The Institute of the Child Health, Lahore, Pakistan.
Syed Muhammad Yousaf FarooqUniversity Institute of Radiological Sciences and Medical Imaging Technology, The University of Lahore, Lahore, Pakistan.
Amber GorayaThe Children's Hospital and The Institute of the Child Health, Lahore, Pakistan.
Muhammad YousafUniversity Institute of Radiological Sciences and Medical Imaging Technology, The University of Lahore, Lahore, Pakistan.
Syed Amir GilaniUniversity Institute of Radiological Sciences and Medical Imaging Technology, The University of Lahore, Lahore, Pakistan.
Aafia KiranThe Children's Hospital and The Institute of the Child Health, Lahore, Pakistan.
Muhammad AyoubUniversity of the Punjab, Lahore, Pakistan.
Akhter JavedThe Children's Hospital and The Institute of the Child Health, Lahore, Pakistan.
Raham BachaUniversity Institute of Radiological Sciences and Medical Imaging Technology, The University of Lahore, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies reported that CT scan findings could be implicated in the diagnosis and evaluation of COVID-19 patients.

objectiveTo identify the role of High-Resolution Computed Tomography chest and summarize characteristics of chest CT imaging for the diagnosis and evaluation of SARS-CoV-2 patients. METHODOLOGY: Google Scholar, PubMed, Science Direct, Research Gate and Medscape were searched up to 31 January 2020 to find relevant articles which highlighted the importance of thoracic computed tomography in the diagnosis as well as the assessment of SARS-CoV-2 infected patients. HRCT abnormalities of SARS-CoV-2 patients were extracted from the eligible studies for meta-analysis.

resultsIn this review, 28 studies (total 2655 patients) were included. Classical findings were Ground Glass Opacities (GGO) (71.64 %), GGO with consolidation (35.22 %), vascular enlargement (65.41 %), subpleural bands (52.54 %), interlobular septal thickening (43.28 %), pleural thickening (38.25 %), and air bronchograms sign (35.15 %). The common anatomic distribution of infection was bilateral lung infection (71.55 %), peripheral distribution (54.63 %) and multiple lesions (74.67 %). The incidences were higher in in the left lower lobe (75.68 %) and right lower lobe (73.32 %). A significant percentage of patients had over 2 lobes involvement (68.66 %).

conclusionChest CT-scan is a helpful modality in the early detection of COVID-19 pneumonia. The GGO in the peripheral areas of lungs with multiple lesions is the characteristic pattern of COVID-19. The correct interpretation of HRCT features makes it easier to detect COVID-19 even in the early phases and the disease progression can also be accessed with the help of the follow-up chest scans.

Indexed as

ConsolidationCOVID-19COVID-19, Corona Virus Disease-2019CT-scanGGO, Ground Glass OpacityGround glass opacityHRCTHRCT, High Resolution Computed TomographySARS-CoV-2SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2

Identifiers

PMID34007865
PMCPMC8119228

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.