Evidence map›Paper›PMID 41986053›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2026

Incidence of cerebral cavernous malformations among adults in Scotland: a prospective, population-based study.

Abel Clemens Adriaan Sandmann, Jonathan M Coutinho, Dagmar Verbaan, William Peter Vandertop, Philip Michael White, Rustam Al-Shahi Salman

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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.

Abel Clemens Adriaan SandmannDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0009-0008-9744-8544
Jonathan M CoutinhoDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Dagmar VerbaanNeurovascular Disorders, Amsterdam Neuroscience, Amsterdam, The Netherlands.
William Peter VandertopNeurovascular Disorders, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Philip Michael WhiteTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Rustam Al-Shahi SalmanInstitute for Neuroscience and Cardiovascular Research, The University of Edinburgh, Edinburgh, UK rustam.al-shahi@ed.ac.uk.ORCID http://orcid.org/0000-0002-2108-9222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation about the incidence of cerebral cavernous malformations (CCM) is sparse and the effect of increasing MRI availability is uncertain. Our objective was to assess the incidence of symptomatic and incidental CCM over time.

methodsThis prospective, population-based study used multiple overlapping sources of case ascertainment to identify all adults aged ≥16 years who were newly diagnosed with CCM using brain MRI or pathology in Scotland between 1 January 1999 and 31 December 2003 or 1 January 2006 and 31 December 2010 inclusive. Crude, age-stratified, sex-stratified and symptomatic versus incidental CCM incidence rates were calculated using Scottish mid-year population estimates.

resultsThe crude incidence for 300 newly diagnosed CCM cases (median age 44 years, 141 (47%) men) was 0.72 (95% CI 0.64 to 0.80) per 100 000 adults per year, with similar rates for men and women. The incidence of symptomatic CCM was higher than that of incidentally detected CCM (0.40 (0.34 to 0.47) versus 0.31 (0.26 to 0.37), p=0.028). Between 1999-2003 and 2006-2010, there were statistically non-significant increases in symptomatic and incidental incidence of CCM (0.36 (0.28 to 0.45) to 0.44 (0.36 to 0.54), p=0.18; 0.30 (0.23 to 0.38) to 0.33 (0.26 to 0.41), p=0.59). The estimated probability of becoming symptomatic for people with asymptomatic CCM was 0.25% (0.22%-0.29%) per year. Overall incidence increased with age, adjusted for year of diagnosis and sex (adjusted incidence rate ratio 1.09 (1.01 to 1.17) per decade increase, p=0.019).

conclusionsThe incidence of symptomatic CCM exceeded that of incidentally discovered CCM; however, no significant change was observed over time. Approximately 1 in 400 people with asymptomatic CCM become symptomatic annually. These findings can help plan healthcare service delivery and research study recruitment.

Indexed as

Hemangioma, Cavernous, Central Nervous SystemAdolescentAdultAgedFemaleHumansIncidenceMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesScotlandYoung AdultCEREBROVASCULARCEREBROVASCULAR DISEASEEPIDEMIOLOGYPrevalence

Identifiers

PMID41986053
PMCPMC13479685

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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.