Evidence map›Paper›PMID 36446465›Full record

Observational studyBMJ open2022

Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study.

Chahinda Ghossein-Doha, Marieke S J N Wintjens, Emma B N J Janssen, Dorthe Klein, Stella C M Heemskerk, Folkert W Asselbergs, Erwin Birnie, Gouke J Bonsel, Bas C T van Bussel, Jochen W L Cals and 14 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05240742 (Persistent Complaints After COVID-19), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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.

NCT05240742 completednot on this map

Persistent Complaints After COVID-19: Epidemiology, Pathophysiology, Prediction, and Communication, the CORona Follow Up (CORFU) Study

TypeobservationalSponsorMaastricht University Medical CenterRan2021 to 2024Enrolled4,291ConditionsCOVID-19, Long COVID, Post COVID-19 ConditionArmsno intervention, the CORFU study conducts analyses based on data which has been prospectively collected (and aggregated when possible) in 7 existing cohorts
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
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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

24 authors at 10 institutions in 3 countries.

Chahinda Ghossein-DohaDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
Marieke S J N WintjensDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.
Emma B N J JanssenCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Dorthe KleinDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0003-0182-9569
Stella C M HeemskerkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-1320-8084
Folkert W AsselbergsDepartment of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Erwin BirnieScientific Department, EuroQol Research Foundation, Rotterdam, The Netherlands.
Gouke J BonselScientific Department, EuroQol Research Foundation, Rotterdam, The Netherlands.
Bas C T van BusselCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-1621-7848
Jochen W L CalsDepartment of Family Medicine, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-9550-5674
Hugo Ten CateDepartment of Biochemistry, Department of Internal Medicine, Thrombosis Expert Centre, Maastricht, The Netherlands.
Juanita HaagsmaDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Bena HemmenCare and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
Iwan C C van der HorstCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-3891-8522
Bastiaan L J H KietselaerDepartment of Cardiology, Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands.
Frederikus A KlokDepartment of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands.
Martijn D de KruifDepartment of Pulmonology, Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands.
Marijke LinschotenDepartment of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Susanne van SantenDepartment of Intensive Care, Maastricht UMC+, Maastricht, The Netherlands.
Kevin VernooyDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
Loes H WillemsDepartment of Surgery, Radboudumc Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Rosa WesterborgDepartment of Pulmonology, Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands.
Michiel WarleDepartment of Surgery, Radboudumc Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Sander M J van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands sander.van.kuijk@mumc.nl.ORCID 0000-0003-2796-729X
Maastricht University Medical Centre · NLMaastricht University · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NLZuyderland Medisch Centrum · NLErasmus MC · NLEuroQol Research Foundation · NLLeiden University Medical Center · NLMayo Clinic · USUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients. METHODS AND ANALYSIS: Data from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of 24 months after acute infection. Next to the clinical characteristics measured in individual cohorts, the CORFU questionnaire on long COVID-19 outcomes and determinants will be administered digitally at 3, 6, 12, 18 and 24 months after the infection. The primary outcome is the prevalence of long COVID-19 symptoms up to 2 years after acute infection. Secondary outcomes are health-related quality of life (eg, EQ-5D), physical functioning, and the prevalence of thromboembolic complications, respiratory complications, cardiovascular diseases and endothelial dysfunction. A prediction model and a patient platform prototype will be developed. ETHICS AND DISSEMINATION: Approval was obtained from the medical research ethics committee of Maastricht University Medical Center+ and Maastricht University (METC 2021-2990) and local committees of the participating cohorts. The project is supported by ZonMW and EuroQol Research Foundation. Results will be published in open access peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05240742.

Indexed as

COVID-19Cohort StudiesFollow-Up StudiesHumansPost-Acute COVID-19 SyndromePrevalenceQuality of LifeCOVID-19EPIDEMIOLOGYProtocols & guidelinesPublic health

Identifiers

PMID36446465
PMCPMC9709810
OpenAlexW4310360068

What OpenQuestion holds

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Registered trials

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.