Evidence map›Paper›PMID 36109264›Full record

ReviewRadiography (London, England : 1995)2022

Post-acute COVID syndrome (long COVID): What should radiographers know and the potential impact for imaging services.

F Alghamdi, R Owen, R E M Ashton, A D Obotiba, R M Meertens, E Hyde, M A Faghy, K M Knapp, P Rogers, W D Strain

Abstract readReview
In one paragraph

Review in Radiography (London, England : 1995), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
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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

10 authors.

F AlghamdiCollege of Medicine and Health, University of Exeter, Exeter, UK. Electronic address: fa383@exeter.ac.uk.
R OwenHuman Sciences Research Centre, University of Derby, Derby, UK.
R E M AshtonHuman Sciences Research Centre, University of Derby, Derby, UK.
A D ObotibaCollege of Medicine and Health, University of Exeter, Exeter, UK.
R M MeertensCollege of Medicine and Health, University of Exeter, Exeter, UK.
E HydeCollege of Health, Psychology and Social Care, University of Derby, Derby, UK.
M A FaghyHuman Sciences Research Centre, University of Derby, Derby, UK.
K M KnappCollege of Medicine and Health, University of Exeter, Exeter, UK.
P RogersMedical Imaging, Royal Devon and Exeter NHS Foundation Trust, UK.
W D StrainCollege of Medicine and Health, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic caused an unprecedented health crisis resulting in over 6 million deaths worldwide, a figure, which continues to grow. In addition to the excess mortality, there are individuals who recovered from the acute stages, but suffered long-term changes in their health post COVID-19, commonly referred to as long COVID. It is estimated there are currently 1.8 million long COVID sufferers by May 2022 in the UK alone. The aim of this narrative literature review is to explore the signs, symptoms and diagnosis of long COVID and the potential impact on imaging services. KEY

findingsLong COVID is estimated to occur in 9.5% of those with two doses of vaccination and 14.6% if those with a single dose or no vaccination. Long COVID is defined by ongoing symptoms lasting for 12 or more weeks post acute infection. Symptoms are associated with reductions in the quality of daily life and may involve multisystem manifestations or present as a single symptom.

conclusionThe full impact of long COVID on imaging services is yet to be realised, but there is likely to be significant increased demand for imaging, particularly in CT for the assessment of lung disease. Educators will need to include aspects related to long COVID pathophysiology and imaging presentations in curricula, underpinned by the rapidly evolving evidence base. IMPLICATIONS FOR PRACTICE: Symptoms relating to long COVID are likely to become a common reason for imaging, with a particular burden on Computed Tomography services. Planning, education and updating protocols in line with a rapidly emerging evidence base is going to be essential.

Indexed as

COVID-19HumansPandemicsPost-Acute COVID-19 SyndromeSARS-CoV-2Computed tomographyCOVID-19ImagingLong-covidMagnetic resonance imagingRadiography

Identifiers

PMID36109264
PMCPMC9468096

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.