Evidence map›Paper›PMID 36962824›Full record

ArticlePLOS global public health2022

Post-COVID-19 syndrome risk factors and further use of health services in East England.

Maciej Debski, Vasiliki Tsampasian, Shawn Haney, Katy Blakely, Samantha Weston, Eleana Ntatsaki, Mark Lim, Susan Madden, Aris Perperoglou, Vassilios S Vassiliou

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Oxidative stress is a shared characteristic of ME/CFS and Long COVID.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  4. Article
  5. Review
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  9. Article
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  12. Article
  13. Bronchodilator Response in Post-COVID-19 Patients Undergoing Pulmonary Rehabilitation.Respiration; international review of thoracic diseases · 2024
    Article
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  17. Review
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

10 authors at 4 institutions in 1 country.

Maciej DebskiNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-3669-3916
Vasiliki TsampasianNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0003-1534-7587
Shawn HaneyNorfolk and Waveney Integrated Care Board, Norwich, United Kingdom.
Katy BlakelyCardiology Department, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom.
Samantha WestonNorfolk and Waveney Integrated Care Board, Norwich, United Kingdom.
Eleana NtatsakiRheumatology Department, East Suffolk and North Essex Foundation NHS Trust, Ipswich Hospital, Ipswich, United Kingdom.
Mark LimNorfolk and Waveney Integrated Care Board, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-1555-137X
Susan MaddenNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Aris PerperoglouSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID https://orcid.org/0000-0003-1355-2800
Vassilios S VassiliouNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-4005-7752
University of East Anglia · GBEast Suffolk and North Essex NHS Foundation Trust · GBNewcastle University · GBNorfolk and Norwich University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-COVID syndrome, defined as symptoms persisting for more than twelve weeks after the diagnosis of COVID-19, has been recognised as a new clinical entity in the context of SARS-CoV-2 infection. This study was conducted to characterise the burden and predictors for post-COVID-19 syndrome in the local population. It was a community-based web-survey study conducted in Norfolk, East England, UK. We sent the survey to patients with confirmed COVID-19 infection by real-time polymerase chain reaction by December 6th, 2020. Questions related to the pre-COVID and post-COVID level of symptoms and further healthcare use. Baseline characteristics were collected from the primary care records. Logistic regression analysis was conducted to establish predictors for post-COVID-19 syndrome and further healthcare utilisation. Of 6,318 patients, survey responses were obtained from 1,487 participants (23.5%). Post-COVID-19 syndrome symptoms were experienced by 774 (52.1%) respondents. Male sex compared to female sex was a factor protective of post-COVID symptoms; relative risk (RR) 0.748, 95% confidence interval (CI), 0.605-0.924. Body mass index was associated with a greater risk of developing post-COVID-19 symptoms (RR 1.031, 95% CI, 1.016-1.047, for 1 kg/m2). A total of 378 (25.4%) people used further health services after their index COVID-19 infection, of whom 277 (73.2%) had post-COVID symptoms. Male sex was negatively associated with the use of further health services (RR 0.618, 95% CI, 0.464-0.818) whereas BMI was positively associated (RR 1.027, 95% CI, 1.009-1.046). Overall, post-COVID-19 symptoms increased the probability of using health services with RR 3.280, 95% CI, 2.540-4.262. This survey of a large number of people previously diagnosed with COVID-19 across East England shows a high prevalence of self-reported post-COVID-19 syndrome. Female sex and BMI were associated with an increased risk of post-COVID-19 syndrome and further utilisation of healthcare.

Identifiers

PMID36962824
PMCPMC10022108
OpenAlexW4310438815

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read121
identifiers read6
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.