Evidence map›Paper›PMID 40620237›Full record

ArticleEuropean stroke journal2025

Development and external validation of the LEAN score to predict late seizures after intracerebral haemorrhage.

Frederik J Reitsma, Sander Mj van Kuijk, David J Werring, Gargi Banerjee, Charlotte Cordonnier, Olfa Kaaouana, Laurent Puy, Allesandro Biffi, Anand Viswanathan, Robert J van Oostenbrugge and 2 more

Abstract read
In one paragraph

Article in European stroke journal, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

12 authors.

Frederik J ReitsmaDepartment of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands.ORCID 0009-0004-8406-2715
Sander Mj van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Center+, Maastricht, Netherlands.
David J WerringUCL Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK.
Gargi BanerjeeUCL Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK.ORCID 0000-0003-0190-7782
Charlotte CordonnierUniv. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.
Olfa KaaouanaUniv. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.
Laurent PuyUniv. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.
Allesandro BiffiDivision of Behavioral Neurology, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Anand ViswanathanDivision of Behavioral Neurology, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Robert J van OostenbruggeDepartment of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands.
Julie StaalsDepartment of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands.ORCID 0000-0002-9502-6937
Rob Pw RouhlDepartment of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPredicting the occurrence of late seizures after intracerebral haemorrhage may help in making clinical decisions about treatment. Currently, the CAVE score is the best performing risk score. We aimed to design a different, pragmatic risk prediction score and compared it to the CAVE score. PATIENTS AND

methodsThe South Limburg (Netherlands) intracerebral haemorrhage registry, consisting of patients with a primary intracerebral haemorrhage in 2004-2009, was used for the derivation cohort. We made a prediction model using Cox proportional hazard analyses; comparisons between models were made with the c-statistic. We validated our model externally in three independent cohorts.

resultsOur derivation cohort consisted of 781 patients, of whom 78 (10%) developed late seizures. We found the following independent predictors for late seizures: any neurosurgical procedure, age < 65 years, lobar haemorrhage, and early seizures (occurring within the first week). These formed our new prediction score (LEAN score), which had an optimism-corrected c-statistic of 0.80 (95%-confidence interval 0.78-0.86). The LEAN score predicts late seizure risk as 0.7%, 1.6%, 8.8%, 22.0%, 29.8%, 43.5%, 100% for the increasing score groups respectively. External validation showed comparable optimism-corrected c-statistics for both the LEAN score and the CAVE score.

conclusionThe newly developed LEAN score consists of easily available clinical variables and performs equally to the CAVE score. Additionally, the high risk of late seizures in patients with the maximum LEAN score might make a diagnosis of epilepsy possible according to international guidelines despite these patients only had early seizures.

Indexed as

epilepsyIntracerebral haemorrhageprediction

Identifiers

PMID40620237
PMCPMC12234504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.