Evidence map›Paper›PMID 36680646›Full record

ArticleEuropean journal of epidemiology2023

Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.

Ruth C E Bowyer, Charlotte Huggins, Renin Toms, Richard J Shaw, Bo Hou, Ellen J Thompson, Alex S F Kwong, Dylan M Williams, Milla Kibble, George B Ploubidis and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
9.1field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 45 citations in OpenAlex.

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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

17 authors at 9 institutions in 2 countries.

Ruth C E BowyerDepartment of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-6941-8160
Charlotte HugginsCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5960-4771
Renin TomsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-6922-1448
Richard J ShawMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-7906-6066
Bo HouBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.ORCID http://orcid.org/0000-0001-5337-6560
Ellen J ThompsonDepartment of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-2118-821X
Alex S F KwongMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-1953-2771
Dylan M WilliamsMRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.ORCID http://orcid.org/0000-0002-3825-2487
Milla KibbleDepartment of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.
George B PloubidisCentre for Longitudinal Studies, UCL Social Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-8198-5790
Nicholas J TimpsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-7141-9189
Jonathan A C SternePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-8496-6053
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.ORCID http://orcid.org/0000-0002-6211-2775
Claire J StevesDepartment of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0002-4910-0489
Kate TillingPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1010-8926
Richard J SilverwoodCentre for Longitudinal Studies, UCL Social Research Institute, University College London, London, UK. r.silverwood@ucl.ac.uk.ORCID http://orcid.org/0000-0002-2744-1194
CONVALESCENCE Study
University of Bristol · GBKing's College London · GBBradford Teaching Hospitals NHS Foundation Trust · GBEdinburgh Cancer Research · GBKarolinska Institutet · SEMRC/CSO Social and Public Health Sciences Unit · GBMRC Unit for Lifelong Health and Ageing · GBUK Dementia Research Institute · GBUniversity College London · GB

Funding

British Heart Foundation CS/16/4/32482Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00019/2Medical Research Council MR/N024397/1Medical Research Council MR/P023444/1Medical Research Council MR/W021315/1Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 202802/Z/16/ZWellcome Trust 216767/Z/19/ZWellcome Trust 217065/Z/19/ZWellcome Trust 221574/Z/20/ZWellcome Trust WT101597MAWellcome Trust WT212904/Z/18/Z
6 · The paper itself

Abstract

Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct symptom patterns, representing high and low symptom burden, in each group. Comparing the high symptom burden classes between the 'COVID-19 in last 12 weeks' and 'no COVID-19' groups we identified symptoms characteristic of acute COVID-19, including loss of taste and smell, fatigue, cough, shortness of breath and muscle pains or aches. Comparing the high symptom burden classes between the 'COVID-19 > 12 weeks ago' and 'no COVID-19' groups we identified symptoms characteristic of long COVID, including fatigue, shortness of breath, muscle pain or aches, difficulty concentrating and chest tightness. The identified symptom patterns among individuals with COVID-19 > 12 weeks ago were strongly associated with self-reported length of time unable to function as normal due to COVID-19 symptoms, suggesting that the symptom pattern identified corresponds to long COVID. Building the evidence base regarding typical long COVID symptoms will improve diagnosis of this condition and the ability to elicit underlying biological mechanisms, leading to better patient access to treatment and services.

Indexed as

COVID-19DyspneaFatigueHumansLongitudinal StudiesPainPost-Acute COVID-19 SyndromeUnited KingdomClusteringCOVID-19Long COVIDLongitudinal studiesSymptom patterns

Identifiers

PMID36680646
PMCPMC9860244
OpenAlexW4317638291

What Socratic holds

Textmetadata
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 Socratic graph.