Evidence map›Paper›PMID 42566493›Full record

ArticlePLoS medicine2026

Time trends in stroke incidence and modifiable risk factor prevalence in England (2018-2024): A record linkage population-based study.

Joseph Kamtchum-Tatuene, James Farrell, John Nolan, Sarah Lessels, William N Whiteley, Linxin Li, CVD-COVID-UK/COVID-IMPACT Consortium

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Joseph Kamtchum-TatueneWolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-1041-4202
James FarrellBritish Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom.ORCID https://orcid.org/0000-0002-5665-4519
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom.ORCID https://orcid.org/0000-0002-5342-0514
Sarah LesselsBritish Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom.ORCID https://orcid.org/0000-0002-7373-3067
William N WhiteleyBritish Heart Foundation Data Science Centre, Health Data Research UK, London, United Kingdom.ORCID https://orcid.org/0000-0002-4816-8991
Linxin LiWolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-3636-8355
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe incidence of stroke at younger ages appears to be increasing, whilst it is falling at older ages. We aimed to determine the current trend and how it might have changed during and after the COVID-19 pandemic. METHODS AND

findingsWe identified first-ever stroke events in adults in England between 1st April 2018 and 31st March 2024 through record-linkage with multiple overlapping sources including primary care, hospital admission, death certificate, and records from a stroke specific national audit. Standardised age-specific (age < 55 versus ≥ 55 years) stroke incidence was calculated and compared using incidence rate ratio (IRR) during three time periods (pre COVID-19 pandemic: 2018-2020; COVID-19 pandemic: 2020-2022 and post COVID-19 pandemic: 2022-2024). We quantified the age-specific divergence using the Relative Temporal Rate Ratio (RTTR). Diagnosis and treatment of modifiable stroke risk factors (hypertension, diabetes, atrial fibrillation, and hyperlipidaemia) before and after the stroke were also compared across the study periods. Analyses were stratified by sex, ethnicity, deprivation, regions, and stroke subtypes. 643,885 incident strokes were included (2018-2020: 206,290; 2020-2022: 211,420; and 2022-2024: 226,175). At age < 55 years, there was a significant increase of stroke incidence during the pandemic (2020-2022 versus 2018-2020: IRR = 1.07, 95%CI [1.05,1.09], p < 0.001), which was consistent by sex, ethnicity, deprivation, stroke subtype and region, and was most prominent for ethnic minority groups (Black: IRR = 1.13, 95%CI [1.05,1.21], p = 0.0005; Asian: IRR = 1.26, 95%CI [1.20,1.33], p < 0.001). This trend continued after the pandemic (2022-2024 vs. 2020-2022: IRR = 1.04, 95%CI [1.02,1.06], p < 0.001). On the contrary, stroke incidence at age ≥ 55 remained stable during the pandemic (IRR = 0.99, 95%CI [0.99,1.00], p = 0.06), and increased afterwards (IRR = 1.04, 95%CI [1.03,1.04], p < 0.001). Consequently, the age divergence in stroke incidence with a less favourable trend at younger ages widened significantly during the pandemic (RTTR = 1.07, 95%CI [1.05,1.08], p < 0.001) and remained unchanged since (RTTR = 0.99, 95%CI [0.97,1.00], p = 0.11). Prevalence of modifiable stroke risk factors remained largely unchanged during and after the pandemic for both age groups. However, there was a significant increase in the frequency of undiagnosed premorbid hypertension and diabetes at age < 55 years during the pandemic (hypertension RR = 1.07, 95%CI [1.02-1.13]; diabetes RR = 1.22, 95%CI [1.08-1.37]). Again, this trend was most prominent for ethnic minority groups and has not improved after the pandemic. A key limitation was the use of routinely collected data, which lacked granularity to explore potential mechanisms.

conclusionsThere was an increase in stroke incidence at younger ages, with no increase at older ages, especially for ethnic minority groups, during and after the COVID-19 pandemic. This coincided with worsening in risk factor identification and diagnosis in primary care, highlighting missed opportunities that need to be urgently addressed.

Indexed as

COVID-19StrokeAdultAgedAged, 80 and overAtrial FibrillationEnglandFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsTime Factors

Identifiers

PMID42566493
PMCPMC13485125

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.