Evidence map›Paper›PMID 34179688›Full record

ArticleChinese journal of academic radiology2021

Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study.

Ghufran Aref Saeed, Abeer Ahmed Al Helali, Asad Shah, Safaa Almazrouei, Luai A Ahmed

Open access · bronzeAbstract read
In one paragraph

Article in Chinese journal of academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% of its field
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 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
  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

5 authors at 1 institution in 1 country.

Ghufran Aref SaeedGeneral Radiology, Sheikh Khalifa Medical City, Abu Dhabi, UAE.ORCID 0000-0003-0096-948X
Abeer Ahmed Al HelaliGeneral Radiology, Sheikh Khalifa Medical City, Abu Dhabi, UAE.
Asad ShahGeneral Radiology, Sheikh Khalifa Medical City, Abu Dhabi, UAE.
Safaa AlmazroueiGeneral Radiology, Sheikh Khalifa Medical City, Abu Dhabi, UAE.
Luai A AhmedInstitute of Public Health, College of Medicine & Health Sciences, UAE University, Al Ain, UAE.
Shaikh Khalifa Medical City · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aim to investigate high-resolution CT features of COVID-19 infection in Abu Dhabi, UAE, and to compare the diagnostic performance of CT scan with RT-PCR test.

methodsData of consecutive patients who were suspected to have COVID-19 infection and presented to our hospital were collected from March 2, 2020, until April 12, 2020. All patients underwent RT-PCR test; out of which 53.8% had chest CT scan done. Using RT-PCR as a standard reference, the sensitivity and specificity of the CT scan were calculated. We also analyzed the most common imaging findings in patients with positive RT-PCR results.

resultsThe typical HRCT findings were seen in 50 scans (65.8%) out of total positive ones; 44 (77.2%) with positive RT-PCR results and 6 (31.6%) with negative results. The peripheral disease distribution was seen in 86%, multilobe involvement in 70%, bilateral in 82%, and posterior in 82% of the 50 scans. The ground glass opacities were seen in 50/74 (89.3%) of the positive RT-PCR group. The recognized GGO patterns in these scans were: rounded 50%, linear 38%, and crazy-paving 24%. Using RT-PCR as a standard of reference, chest HRCT scan revealed a sensitivity of 68.8% and specificity of 70%.

conclusionThe commonest HRCT findings in patients with COVID-19 pneumonia were peripheral, posterior, bilateral, multilobe rounded ground-glass opacities. The performance of HRCT scan can vary depending on multiple factors.

Indexed as

COVID-19Ground glass opacityHRCTRT-PCR

Identifiers

PMID34179688
PMCPMC8211305
OpenAlexW3165999060

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.