Evidence map›Paper›PMID 38974254›Full record

ArticleAfrican health sciences2023

High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda: a cross-sectional study.

Rita Nassanga, Aloysius Gonzaga Mubuuke, Randhawa Mangun, Max Crescent Tumusiime, Erem Geoffrey, Valeria Nabbosa, Francis Olweny, Faith Ameda, Sam Bugeza

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Rita NassangaMakerere University College of Health Sciences, Department of Radiology.
Aloysius Gonzaga MubuukeMakerere University College of Health Sciences, Department of Radiology.
Randhawa MangunMassachusetts General Hospital, Department of Radiology.
Max Crescent TumusiimeSt Francis Hospital, Nsambya, Department of Radiology.
Erem GeoffreyMakerere University College of Health Sciences, Department of Radiology.
Valeria NabbosaSt Francis Hospital, Nsambya, Department of Radiology.
Francis OlwenyMakerere University College of Health Sciences, Department of Epidemiology and Biostatics.
Faith AmedaMakerere University College of Health Sciences, Department of Radiology.
Sam BugezaMakerere University College of Health Sciences, Department of Radiology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The alarming spread of the COVID-19 pandemic has led to a shortage of RT-PCR kits in Uganda necessitating the use of high-resolution chest Computed Tomography to guide patient management and treatment. Main Objective: To describe the chest HRCT findings in patients with clinically suspected COVID-19 pneumonia and to compare its diagnostic accuracy to RT-PCR. . Methods: In this cross-sectional study, chest HRCT findings of 384 patients and available RT-PCR laboratory results were reviewed and recorded in the data collection form. Results: The commonest chest HRCT findings were bilateral ground glass opacities (78.2%). Out of the 31.7% patients that took the PCR test only 26.9% tested positive. 16 out of 17 patients who tested negative, were classified under CORADS 5.The sensitivity of chest HRCT was 90.4%, 95% CI (82.6-95.5), positive predictive value of 84.2%, 95% CI (75.6-90.7), and accuracy of 77.5%, 95% CI (71.5-87.1). Conclusions: HRCT was found superior to RT-PCR in diagnosing COVID-19. A patient with positive HRCT findings should be treated as COVID 19 when RT-PCR is inaccessible or results are negative. A patient with negative HRCT requires complimentary RT-PCR and possibly follow up CT scans if symptoms persist before treating for COVID 19.

Indexed as

COVID-19SARS-CoV-2Tomography, X-Ray ComputedAdolescentAdultAgedCOVID-19 Nucleic Acid TestingCross-Sectional StudiesFemaleHumansLungMaleMiddle AgedReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityUgandaChest HRCTCORADSCOVID-19

Identifiers

PMID38974254
PMCPMC11225467

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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.