Evidence map›Paper›PMID 42458561›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Health-related quality of life profiles and trajectories of patients with post COVID-19 condition: a latent Markov model.

Iris M Brus, Stella C M Heemskerk, Suzanne Polinder, Daan Nieboer, Peter Tieleman, Sara Biere-Rafi, Juanita A Haagsma

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Iris M BrusDepartment of Public Health, Erasmus MC, Erasmus University Medical Centre Rotterdam, PO Box 2040, Rotterdam, CA, 3000, Netherlands. brus.irismarjolein@gmail.com.
Stella C M HeemskerkDepartment of Public Health, Erasmus MC, Erasmus University Medical Centre Rotterdam, PO Box 2040, Rotterdam, CA, 3000, Netherlands.
Suzanne PolinderDepartment of Public Health, Erasmus MC, Erasmus University Medical Centre Rotterdam, PO Box 2040, Rotterdam, CA, 3000, Netherlands.
Daan NieboerDepartment of Public Health, Erasmus MC, Erasmus University Medical Centre Rotterdam, PO Box 2040, Rotterdam, CA, 3000, Netherlands.
Peter TielemanC-support, Goudsbloemvallei 1, 's-Hertogenbosch, MH, 5237, Netherlands.
Sara Biere-RafiC-support, Goudsbloemvallei 1, 's-Hertogenbosch, MH, 5237, Netherlands.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC, Erasmus University Medical Centre Rotterdam, PO Box 2040, Rotterdam, CA, 3000, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify subgroups with similar health states based on health-related quality of life (HRQoL) profile (i.e. differences in affected dimensions and severity of problems per dimension) among PCC patients, to examine transitions between these subgroups over time, and to examine the association with sociodemographic and medical characteristics.

methodsIn this longitudinal cohort study, data from 5,737 PCC patients, collected through two online surveys, were analysed using a latent Markov model. Dichotomized HRQoL scores per EQ-5D-5L dimension were used as indicators to determine latent states and covariates were added into the model.

resultsA model with six latent states was selected. The largest state, consisting of 31% of respondents, was characterized by a high probability of problems on all dimensions, whereas the smallest state (7%) was characterized by a low probability of problems on all dimensions, except usual activities. The remaining four states were all characterized by a high probability of problems on usual activities and pain/discomfort, but differed based on the probability of problems on the dimensions mobility, self-care and anxiety/depression. The probability of transitioning to a different state was low, with states with fewer affected dimensions being most stable. Women, younger respondents, those with a lower educational level, and those with comorbidity were more likely to be in states with more affected dimensions.

conclusionsThe identification of different HRQoL profiles shows that there is substantial heterogeneity in the HRQoL dimensions that are affected and in observed changes between two measurement points.

Indexed as

EQ-5DHRQoLLatent Markov modelLatent transition analysisLong COVIDPost COVID-19 conditionProfilesQuality of life

Identifiers

PMID42458561
PMCPMC13656562

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.