Evidence map›Paper›PMID 39610302›Full record

ArticleJAMA neurology2025

Disease Severity Staging System for NOTCH3-Associated Small Vessel Disease, Including CADASIL.

Gido Gravesteijn, Julie W Rutten, Minne N Cerfontaine, Remco J Hack, Yi-Chu Liao, Amy A Jolly, Stéphanie Guey, Shao-Lun Hsu, Jae-Young Park, Yun Yuan and 40 more

Abstract read
In one paragraph

Article in JAMA neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Headache Attributed to Genetic Vasculopathies.Current pain and headache reports · 2026
    Review
  3. Article
  4. Article
  5. Prognostic Significance ofNeurology. Genetics · 2026
    Article
  6. Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. 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

50 authors.

Gido GravesteijnDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Julie W RuttenDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Minne N CerfontaineDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Remco J HackDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Yi-Chu LiaoDepartment of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.
Amy A JollyStroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom.
Stéphanie GueyCentre NeuroVasculaire Translationnel and Centre de Référence des Maladies Vasculaires Rares du Cerveau et de L'Oeil, Lariboisière Hospital and Université Paris-Cité, Paris, France.
Shao-Lun HsuDepartment of Neurology, Brain Research Center, and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Jae-Young ParkDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Yun YuanDepartment of Neurology, Peking University First Hospital, Beijing, China.
Anna KopczakInstitute for Stroke and Dementia Research, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany.
Nicola RifinoCerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Sam J NeilsonCentre for Stroke & Brain Imaging, University of Glasgow, Glasgow, United Kingdom.
Anna PoggesiStroke Unit, Careggi University Hospital, Florence, Italy.
Md Manjurul Islam ShouravDepartment of Neurology, Mayo Clinic, Jacksonville, Florida.
Satoshi SaitoDepartment of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
Hiroyuki IshiyamaDepartment of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
Ana Domínguez MayoralUnidad de Enfermedades Neurovasculares Infrecuentes, Hospital Virgen Macarena, Sevilla, Spain.
Renata NogueiraDepartment of Neurology, Hospital SARAH Kubitschek, Rio de Janeiro, Brazil.
Elena MuiñoStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Pia AndersenTheme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
Nicola De StefanoDepartment of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Gustavo SantoDepartment of Neurology, University Hospital of Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Nontapat SukhonpanichStroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom.
Francesco MeleNeurology and Stroke Unit, Luigi Sacco University Hospital, Milan, Italy.
Ashley ParkDepartment of Neurology, Royal Melbourne Hospital, Melbourne, Australia.
Jung Seok LeeCollege of Medicine, Jeju National University, Jeju, South Korea.
Mar Rodríguez-GirondoDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Sebastiaan J J VonkSoftware developer in personal capacity, Weesp, the Netherlands.
Amy BrodtmannSchool of Translational Medicine, Monash University, Melbourne, Australia.
Anne Börjesson-HansonTheme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
Leonardo PantoniNeuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Israel Fernández-CadenasStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Ana Rita SilvaCenter for Research in Neuropsychology and Cognitive Behavioral Interventions, University of Coimbra, Coimbra, Portugal.
Vinícus V A MontanaroDepartment of Neurology, Hospital SARAH Kubitschek, Brasília, Brazil.
Rajesh N KalariaTranslational and Clinical Research Institute, Newcastle University, Newcastle, United Kingdom.
Diego LopergoloDepartment of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Masafumi IharaDepartment of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan.
James F MeschiaDepartment of Neurology, Mayo Clinic, Jacksonville, Florida.
Keith W MuirSchool of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Anna BersanoCerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Francesca PesciniStroke Unit, Careggi University Hospital, Florence, Italy.
Marco DueringInstitute for Stroke and Dementia Research, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany.
Jay Chol ChoiCollege of Medicine, Jeju National University, Jeju, South Korea.
Chen LingDepartment of Neurology, Peking University First Hospital, Beijing, China.
Hyunjin KimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Hugh S MarkusStroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom.
Hugues ChabriatCentre NeuroVasculaire Translationnel and Centre de Référence des Maladies Vasculaires Rares du Cerveau et de L'Oeil, Lariboisière Hospital and Université Paris-Cité, Paris, France.
Yi-Chung LeeDepartment of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.
Saskia A J Lesnik ObersteinDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.

Funding

British Heart Foundation RG/F/22/110052
6 · The paper itself

Abstract

Importance: Typical cysteine-altering NOTCH3 (NOTCH3cys) variants are highly prevalent (approximately 1 in 300 individuals) and are associated with a broad spectrum of small vessel disease (SVD), ranging from early-onset stroke and dementia (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy [CADASIL]) to nonpenetrance. A staging system that captures the full NOTCH3-SVD severity spectrum is needed and currently lacking. Objective: To design a simple disease severity staging system that captures the broad clinicoradiological NOTCH3-SVD severity spectrum. Design, Setting, and Participants: A cohort study was performed in which the NOTCH3-SVD severity staging system was developed using a discovery cohort (2019-2020) and validated in independent international CADASIL cohorts (1999-2023) and the UK Biobank. Clinical and imaging data were collected from participants originating from 23 international CADASIL cohorts and from the UK Biobank. Eligibility criteria were presence of a NOTCH3cys variant, availability of brain magnetic resonance imaging, and modified Rankin Scale score. The discovery cohort consisted of 195 NOTCH3cys-positive cases from families with CADASIL; the validation set included 1713 NOTCH3cys-positive cases from 15 countries. The UK Biobank cohort consisted of 101 NOTCH3cys-positive individuals. Data from 2-year (2019-2023) and 18-year (1999-2017) follow-up studies were also analyzed. Data analysis was performed from July 2023 to August 2024. Main Outcomes and Measures: Percentage of cases following the sequence of events of the NOTCH3-SVD stages, and the association between the stages and ischemic stroke, intracerebral hemorrhage, global cognition, processing speed, brain volume, brain microstructural damage, and serum neurofilament light chain (NfL) level. Results: The NOTCH3-SVD staging system encompasses 9 disease stages or substages, ranging from stage 0 (premanifest stage) to stage 4B (end stage). Of all 1908 cases, which included 195 in the discovery cohort (mean [SD] age, 52.4 [12.2] years) and 1713 in the validation cohorts (mean [SD] age, 53.1 [13.0] years), 1789 (94%) followed the sequence of events defined by the NOTCH3-SVD staging system. The NOTCH3-SVD stages were associated with neuroimaging outcomes in the NOTCH3cys-positive cases in the CADASIL cohorts and in the UK Biobank and with cognitive outcomes and serum NfL level in cases from the CADASIL cohorts. The NOTCH3-SVD staging system captured disease progression and was associated with 18-year survival. Conclusions and Relevance: The NOTCH3-SVD staging system captures the full disease spectrum, from asymptomatic individuals with a NOTCH3cys variant to patients with end-stage disease. The NOTCH3-SVD staging system is a simple but effective tool for uniform disease staging in the clinic and in research.

Indexed as

CADASILCerebral Small Vessel DiseasesReceptor, Notch3Severity of Illness IndexAdultAgedCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNOTCH3 protein, humanReceptor, Notch3

Identifiers

PMID39610302
PMCPMC13340440

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