Evidence map›Paper›PMID 41466608›Full record

ArticleThe Lancet regional health. Europe2025

Post-COVID-19 condition in individuals infected with SARS-CoV-2 in autumn 2023 in the Netherlands: a prospective cohort study with pre- and post-infection data.

Siméon de Bruijn, Anne J Huiberts, Stijn P Andeweg, Christina E Hoeve, Maarten Schipper, Diederick E Grobbee, Hester E de Melker, Janneke H H M van de Wijgert, Susan van den Hof, Mirjam J Knol and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Siméon de BruijnCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Anne J HuibertsCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Stijn P AndewegCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Christina E HoeveCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Maarten SchipperDepartment of Statistics, Data Science and Modelling, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Diederick E GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands.
Hester E de MelkerCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Janneke H H M van de WijgertJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands.
Susan van den HofCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Mirjam J KnolCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.
Cees C van den WijngaardCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-COVID-19 condition (PCC) risk may have changed due to vaccination status, virus variants, prior infections, and other factors. We aimed to estimate PCC prevalence for one year in individuals infected with SARS-CoV-2 during autumn 2023, controlling for pre-infection symptoms and prevalence in recently uninfected participants. Methods: VASCO, a Dutch ongoing prospective cohort, collects three-monthly questionnaires and six-monthly SARS-CoV-2 serology. Participants indicated severity of 23 symptoms on a five-point Likert scale, and of fatigue and concentration problems on the Checklist Individual Strength. We matched participants who did with those who did not report a SARS-CoV-2 infection between September 25, 2023 and January 7, 2024, and censored follow-up time for both upon serological or antigen test evidence of infection. We estimated PCC-prevalence as the excess prevalence of at least one PCC-related symptom between matched infected and uninfected participants at 90, 180, 270, and 360 days post-infection. Additionally, participants could self-attribute long-term symptoms to SARS-CoV-2. Findings: We 1:1 matched 5621 infected to 5621 uninfected participants. The PCC prevalence, estimated as the marginal mean excess prevalence of PCC-related symptoms between infected and uninfected participants, was 0.2% (95% confidence interval: -1.9 to 2.3, p = 0.84) at 90 days, 0.5% (-1.6 to 2.6, p = 0.63) at 180 days, 0.7% (-1.3 to 2.8, p = 0.48) at 270 days, and 0.0% (-2.1 to 2.1, p = 0.99) at 360 days. Excess prevalence of new mild and severe long-term symptoms self-attributed to SARS-CoV-2 between infected and uninfected participants were both elevated at 90 days (mild: 7.2% (5.1-9.2), severe: 0.6% (0.4-0.8)) and 180 days (mild: 3.2% (2.0-4.4), severe: 0.3% (0.2-0.4)) post-infection (all p-values <0.0001), but no longer thereafter. Interpretation: This double-controlled study, incorporating pre- versus post-infection and uninfected symptom data, found a low risk of PCC among a community-dwelling adult population infected during the autumn 2023 SARS-CoV-2 wave. The prevalence of PCC-related symptoms in infected and uninfected individuals was not significantly different at 90-360 days post-infection. The excess prevalences of self-attributed long-term symptoms were elevated at 90 and 180 days post-infection but no longer from 270 days onwards. These findings suggest that the 2023 wave inferred a lower PCC risk than during the pandemic period. Funding: Funded by the Dutch Ministry of Health, Welfare and Sport.

Indexed as

COVID-19Long COVIDLong-term symptomsPASCPCCPost-COVID-19 conditionPost-infectionSARS-CoV-2Vaccination

Identifiers

PMID41466608
PMCPMC12744722

What OpenQuestion holds

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LicenceCC BY-NC
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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.