Evidence map›Paper›PMID 40473290›Full record

ArticleBMJ open2025

Cohort profile: characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19 - providing the evidence base for health care services (CONVALESCENCE) in the UK.

Alexandra Jamieson, Lamia Al Saikhan, Betty Raman, Lamis Alghamdi, Nathan J Cheetham, Pauline Conde, Richard Dobson, Alba Fernández-Sanlés, Amos Folarin, Lucy J Goudswaard and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2025. 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

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

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

27 authors.

Alexandra JamiesonDepartment of Population Science & Experimental Medicine, University College London, London, UK.ORCID http://orcid.org/0009-0000-3376-4769
Lamia Al SaikhanDepartment of Cardiac Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Betty RamanRadcliffe Department of Medicine, University of Oxford, Oxfordshire, UK.
Lamis AlghamdiDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Nathan J CheethamDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.ORCID http://orcid.org/0000-0002-2259-1556
Pauline CondeInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Richard DobsonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Alba Fernández-SanlésDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Amos FolarinInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Lucy J GoudswaardPopulation Health Sciences, University of Bristol, Bristol, UK.
Lee Hamill HowesDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Siana JonesDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Stefan NeubauerRadcliffe Department of Medicine, University of Oxford, Oxfordshire, UK.
Michele OriniDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Iain PierceDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Yatharth RanjanInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Alicja RapalaDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Stephen M SmithOxford Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Carole SudreDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Ellen J ThompsonDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
James WildRoyal Hallamshire Hospital, Sheffield, UK.
Dylan WilliamsDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Andrew WongDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Claire J StevesDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Nic TimpsonPopulation Health Sciences, University of Bristol, Bristol, UK.
Nishi ChaturvediDepartment of Population Science & Experimental Medicine, University College London, London, UK.
Alun HughesDepartment of Population Science & Experimental Medicine, University College London, London, UK alun.hughes@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5432-5271

Funding

Wellcome Trust
6 · The paper itself

Abstract

purposeThe pathogenesis of the long-lasting symptoms which can follow an infection with the SARS-CoV-2 virus ('long covid') is not fully understood. The 'COroNaVirus post-Acute Long-term EffectS: Constructing an evidENCE base' (CONVALESCENCE) study was established as part of the Longitudinal Health and Wellbeing COVID-19 UK National Core Study. We performed a deep phenotyping case-control study nested within two cohorts (the Avon Longitudinal Study of Parents and Children and TwinsUK) as part of CONVALESCENCE.

participantsFrom September 2021 to May 2023, 349 participants attended the CONVALESCENCE deep phenotyping clinic at University College London. Four categories of participants were recruited: cases of long covid ( FINDINGS TO DATE: This cohort profile describes the baseline characteristics of the CONVALESCENCE cohort. Of the 349 participants, 141 (53±15 years old; 21 (15%) men) were cases, 89 (55±16 years old; 11 (12%) men) were in control group 1, 75 (49±15 years old; 25 (33%) men) were in control group 2 and 44 (55±16 years old; 9 (21%) men) were in control group 3. FUTURE PLANS: The study aims to use a multiorgan score calculated as the cumulative total for each of nine domains (ie, lung, vascular, heart, kidney, brain, autonomic function, muscle strength, exercise capacity and physical performance). The availability of data preceding acute COVID-19 infection in cohorts may help identify the consequences of infection independent of pre-existing subclinical disease and also provide evidence of determinants that influence the development of long covid.

Indexed as

ConvalescenceCOVID-19AdolescentAdultAgedCase-Control StudiesChildFemaleHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2United KingdomCOVID-19EPIDEMIOLOGYPost-Acute COVID-19 Syndrome

Identifiers

PMID40473290
PMCPMC12142084

What OpenQuestion holds

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Registered trials

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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.