Evidence map›Paper›PMID 35567582›Full record

SynthesisJournal of global health2022

Clinical features of COVID-19 for integration of COVID-19 into influenza surveillance: A systematic review.

Bohee Lee, Thulani Ashcroft, Eldad Agyei-Manu, Emma Farfan de los Godos, Amanda Leow, Prerna Krishan, Durga Kulkarni, Madhurima Nundy, Karen Hartnup, Ting Shi and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

15 authors.

Bohee LeeCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Thulani AshcroftCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Eldad Agyei-ManuCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Emma Farfan de los GodosCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Amanda LeowCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Prerna KrishanCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Durga KulkarniCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Madhurima NundyCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Karen HartnupCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Ting ShiCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Emilie McSwigganCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Harish NairCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Evropi TheodoratouCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Ruth McQuillanCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Usher Network for COVID-19 Evidence Reviews (UNCOVER) group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In November 2020, the World Health Organization (WHO) created interim guidance on how to integrate testing for SARS-CoV-2 into existing influenza surveillance systems. Influenza-like illness (ILI) and severe acute respiratory illness (SARI) case definitions have been used to specify the case definition of COVID-19 for surveillance purposes. This review aims to assess whether the common clinical features of COVID-19 have changed to the point that the criteria used to identify both COVID-19 and influenza in surveillance programs needs to be altered. Methods: A systematic review of reviews following PRISMA-P guidelines was conducted using the "COVID-19 evidence review" database from August 19, 2020, to August 19, 2021. Reviews providing pooled estimates of the prevalence of clinical features of COVID-19 within the general population, diagnosed by polymerase chain reaction or rapid diagnostic test, were included. These were critically appraised and sensitivity analysis was undertaken to examine potential causes of bias. Results: Fourteen reviews were identified, including three on adults only and three on children only. For all reviews, combined fever (median prevalence = 73.0%, IQR = 58.3-78.7) and cough (45.1%, IQR = 28.9-54.0) were the most common features. These were followed by loss of taste or smell (45.1%, IQR = 28.9-54.0), hypoxemia (33%, one review), fatigue (26.4%, IQR = 9.0-39.4) and expectoration (23.9%, IQR = 23.3-25.5). Fever and cough continued to be the most prevalent features for adults and children, with subsequent symptoms being similar for adults only. However, the pattern differed for children, with headache (34.3%, IQR = 18-50.7) and nasal congestion (20%, one review) being the third and fourth commonest symptoms. Conclusions: The prevalent features found in this recent review were the same as the ones identified at the beginning of the pandemic. Therefore, the current approach of using the ILI and SARI criteria which incorporate fever and cough will identify COVID-19 cases in addition to influenza. Interestingly, children may present with different features, as headaches and nasal congestion were more common in this group. Future research could examine this further and investigate whether symptomology changes with new variants of COVID-19.

Indexed as

COVID-19Influenza, HumanVirus DiseasesAdultChildCoughHumansMeta-Analysis as TopicSARS-CoV-2

Identifiers

PMID35567582
PMCPMC9107308

What OpenQuestion holds

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LicenceCC BY
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.