Evidence map›Paper›PMID 37462040›Full record

ArticleEpidemiology and infection2023

Identification of post-COVID-19 condition phenotypes, and differences in health-related quality of life and healthcare use: a cluster analysis.

Iris Gerritzen, Iris M Brus, Inge Spronk, Sara Biere-Rafi, Suzanne Polinder, Juanita A Haagsma

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Health economic outcomes and national economic impacts associated with Long COVID in England and Scotland.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  5. Article
  6. Article
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  8. Observational
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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

6 authors at 2 institutions in 1 country.

Iris GerritzenDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0008-5360-5421
Iris M BrusDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Inge SpronkDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-9571-576X
Sara Biere-RafiC-support, 's Hertogenbosch, The Netherlands.
Suzanne PolinderDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Juanita A HaagsmaDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLTolbrug Specialistische Revalidatie · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this cross-sectional study was to identify post-COVID-19 condition (PCC) phenotypes and to investigate the health-related quality of life (HRQoL) and healthcare use per phenotype. We administered a questionnaire to a cohort of PCC patients that included items on socio-demographics, medical characteristics, health symptoms, healthcare use, and the EQ-5D-5L. A principal component analysis (PCA) of PCC symptoms was performed to identify symptom patterns. K-means clustering was used to identify phenotypes. In total, 8630 participants completed the survey. The median number of symptoms was 18, with the top 3 being fatigue, concentration problems, and decreased physical condition. Eight symptom patterns and three phenotypes were identified. Phenotype 1 comprised participants with a lower-than-average number of symptoms, phenotype 2 with an average number of symptoms, and phenotype 3 with a higher-than-average number of symptoms. Compared to participants in phenotypes 1 and 2, those in phenotype 3 consulted significantly more healthcare providers (median 4, 6, and 7, respectively,

Indexed as

COVID-19Quality of LifeCluster AnalysisCross-Sectional StudiesDelivery of Health CareHumansSurveys and Questionnairescluster analysisCOVID-19healthcare usehealth related quality of lifePost COVID-19 condition

Identifiers

PMID37462040
PMCPMC10540165
OpenAlexW4384627007

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.