Evidence map›Paper›PMID 42604070›Full record

ArticleThe Lancet regional health. Europe2026

Recovery trajectories and predictors of symptom resolution in post-COVID-19 condition: a population-based cohort study.

Jean-Patrick L Brunet, Sonja L van Ockenburg, Milad Leyli-Abadi, Gerton Lunter, Judith G M Rosmalen

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2026. 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

5 authors.

Jean-Patrick L BrunetDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Sonja L van OckenburgDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Milad Leyli-AbadiIRT SystemX, Palaiseau, France.
Gerton LunterDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Judith G M RosmalenDepartment of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-CoV-2 infection can lead to persistent symptoms, known as Post-COVID-19 Condition (PCC). Previous studies on PCC prognosis mainly looked at severe cases in rehabilitation settings and without knowledge about pre-infection symptom levels. Uncertainty remains about recovery trajectory in the general population, its predictors, and whether recovery differs by symptom. Methods: We analysed data from Lifelines, a prospective population-based observational cohort. Adults completed 31 COVID-19 questionnaires between March 2020 and October 2022 providing longitudinal symptom data to assess PCC status, and recovery. PCC was defined as at least one moderately severe symptom, among 12 identified as PCC-specific, that worsened 90-150 days after infection. Cox-proportional hazard models estimated recovery, defined as symptom decline to an individual's pre-infection baseline, adjusted for symptoms present at PCC diagnosis, age, sex, BMI, smoking, hospitalization, vaccination, and comorbidities. Findings: We analysed time series of 809 cases (mean age 55.0; [SD 11.0]; 590 [73%] female; mean follow up 368 days; [SD 200]). Symptom decline to pre-infection baseline or below was observed in 558 participants; the Kaplan-Meier 24-month symptom decline estimate was 92%. Greater symptom burden was associated with a lower likelihood of recovery (HR per additional symptom 0.69, 95% CI 0.63-0.76), whereas younger age had a higher likelihood of recovery compared with middle adulthood (HR 1.52, 95% CI 1.06-2.18). Median time to symptom decline was 226 days (IQR 182-372), with most improvement within the first 235 days before slowing and plateauing. Interpretation: Most individuals with PCC recover, but older adults and those with multiple symptoms are at higher risk of prolonged illness, underscoring the need for ongoing support. Funding: This work was supported by The Netherlands Organisation for Health Research and Development (ZonMw) COVID-19 Program. The data collection in this project is co-financed by EU Horizon Europe Program grant Long Covid.

Indexed as

Long COVIDLongitudinal dataPopulation-based cohortPost-COVID-19 conditionPrognosisRecovery

Identifiers

PMID42604070
PMCPMC13476563

What OpenQuestion holds

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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.