Evidence map›Paper›PMID 42486476›Full record

ArticleEuropean journal of public health2026

National impact of ICD-11 stroke reclassification on projected incidence across the United Kingdom.

Camila Pantoja-Ruiz, Eva S Emmett, Evelyn Lim, Wasana Kalansooriya, Sophie Rowland-Coomber, Svetlana Mamac, Tayla Schaapveld, Abdel Douiri, Julia Fox-Rushby, Yanzhong Wang and 4 more

Abstract read
In one paragraph

Article in European journal of public health, 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
–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

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

14 authors.

Camila Pantoja-RuizDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-4411-466X
Eva S EmmettDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Evelyn LimDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Wasana KalansooriyaDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Sophie Rowland-CoomberDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Svetlana MamacDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Tayla SchaapveldDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Abdel DouiriDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Julia Fox-RushbyDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Yanzhong WangDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-0768-1676
Ajay BhallaDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
C D A WolfeDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Matthew D L O'ConnellDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.
Iain J MarshallDepartment of Population Health Sciences, School of Life Course & Population Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-2594-2654

Funding

National Institute for Health and Care Research NIHR202339
6 · The paper itself

Abstract

The ICD-11 stroke definition expands stroke diagnosis by including neuroimaging-confirmed brain lesions regardless of symptom duration. Using directly age- and sex-standardized rates from the South London Stroke Register applied to UK Census 2021/2022 populations, we projected that ICD-11 to increase UK stroke incidence by ∼4.2%, yielding an estimated 2771 additional cases annually (England +2313; Scotland +241; Wales +142; Northern Ireland +75). Ethnicity-adjusted estimates suggested a 6.2% increase for England and Wales. These projections are scenario estimates that assume South London rates apply uniformly across the UK, their central limitation, and their realization will depend on local imaging and referral practice. Many additional cases will likely be managed in outpatient settings, requiring expanded provision, improved MRI, and strengthened cardiovascular prevention.

Indexed as

International Classification of DiseasesStrokeAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRegistriesUnited Kingdom

Identifiers

PMID42486476
PMCPMC13391154

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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.