Evidence map›Paper›PMID 39121972›Full record

ArticleThe Journal of infection2024

Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England.

Han-I Wang, Tim Doran, Michael G Crooks, Kamlesh Khunti, Melissa Heightman, Arturo Gonzalez-Izquierdo, Muhammad Qummer Ul Arfeen, Antony Loveless, Amitava Banerjee, Christina Van Der Feltz-Cornelis

Abstract read
In one paragraph

Article in The Journal of infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Understanding how social determinants of health shape Long COVID outcomes: a rapid review of evidence.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Article
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  11. Long COVID and the kidney.Nature reviews. Nephrology · 2025
    Review
  12. Pre-pandemic diabetes and risk of long COVID: longitudinal evidence.Journal of diabetes and metabolic disorders · 2025
    Article
  13. Dietary n-3 Polyunsaturated Fatty Acids From Fish Are Associated With Better Healthy Aging Indicators: Results of the DIAPELH Study.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  14. Article
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  19. Exploring Long Covid Prevalence and Patient Uncertainty by Sociodemographic Characteristics Using GP Patient Survey Data.Health expectations : an international journal of public participation in health care and health policy · 2025
    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

10 authors.

Han-I WangDepartment of Health Sciences, University of York, York, UK; Institute of Health Informatics, University College of London, London, UK. Electronic address: han-i.wang@york.ac.uk.
Tim DoranDepartment of Health Sciences, University of York, York, UK.
Michael G CrooksHull York Medical School, York, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Melissa HeightmanUniversity College London Hospitals NHS Foundation Trust, London, UK.
Arturo Gonzalez-IzquierdoInstitute of Health Informatics, University College of London, London, UK.
Muhammad Qummer Ul ArfeenInstitute of Health Informatics, University College of London, London, UK.
Antony LovelessPatient and Public Involvement (PPI) member for STIMULATE-ICP Consortium, Institute of Health Informatics, University College of London, London, UK.
Amitava BanerjeeInstitute of Health Informatics, University College of London, London, UK.
Christina Van Der Feltz-CornelisDepartment of Health Sciences, University of York, York, UK; Hull York Medical School, York, UK; Institute of Health Informatics, University College of London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examines clinically confirmed long-COVID symptoms and diagnosis among individuals with COVID in England, aiming to understand prevalence and associated risk factors using electronic health records. To further understand long COVID, the study also explored differences in risks and symptom profiles in three subgroups: hospitalised, non-hospitalised, and untreated COVID cases.

methodsA population-based longitudinal cohort study was conducted using data from 1,554,040 individuals with confirmed SARS-CoV-2 infection via Clinical Practice Research Datalink. Descriptive statistics explored the prevalence of long COVID symptoms 12 weeks post-infection, and Cox regression models analysed the associated risk factors. Sensitivity analysis was conducted to test the impact of right-censoring data.

resultsDuring an average 400-day follow-up, 7.4% of individuals with COVID had at least one long-COVID symptom after acute phase, yet only 0.5% had long-COVID diagnostic codes. The most common long-COVID symptoms included cough (17.7%), back pain (15.2%), stomach-ache (11.2%), headache (11.1%), and sore throat (10.0%). The same trend was observed in all three subgroups. Risk factors associated with long-COVID symptoms were female sex, non-white ethnicity, obesity, and pre-existing medical conditions like anxiety, depression, type II diabetes, and somatic symptom disorders.

conclusionsThis study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.

Indexed as

COVID-19Electronic Health RecordsSARS-CoV-2AdolescentAdultAgedAged, 80 and overChildEnglandFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeLong COVIDPost SARS-CoV-2PrevalenceRisk factorSymptoms

Identifiers

PMID39121972
PMCPMC11409608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.