Evidence map›Paper›PMID 41123765›Full record

ArticleInsights into imaging2025

White matter lesion effect modification of aspirin and unfractionated heparin during endovascular stroke treatment.

Laura M van Poppel, Lucas de Vries, Mahsa Mojtahedi, Henk van Voorst, Praneeta R Konduri, Rob A van de Graaf, Wouter van der Steen, Laura Martou, Paul Bentley, Henk A Marquering and 2 more

Abstract read
In one paragraph

Article in Insights into imaging, 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. Article
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.

Laura M van PoppelDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands. l.m.vanpoppel@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-7921-2353
Lucas de VriesDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Mahsa MojtahediDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Henk van VoorstDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Praneeta R KonduriDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Rob A van de GraafDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Wouter van der SteenDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Laura MartouDepartment of Brain Sciences, Imperial College London, London, UK.
Paul BentleyDepartment of Brain Sciences, Imperial College London, London, UK.
Henk A MarqueringDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Bart J EmmerDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Charles B L M MajoieDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.

Funding

GEMINI 101136438Hartstichting CVON2015-01: CONTRASTHealth~Holland LSHM17016National Institute for Health and Care Research II-LA-0814-20007
6 · The paper itself

Abstract

objectivesPeriprocedural aspirin or unfractionated heparin during endovascular treatment in acute ischemic stroke increases symptomatic intracranial hemorrhage (sICH) risk without improving functional outcome. White matter lesions (WMLs) are associated with higher sICH risk and poor functional outcome following stroke. We aimed to assess whether WML volume modifies the effect of aspirin or heparin. MATERIALS AND

methodsIn this post-hoc analysis of the MR CLEAN-MED trial, WML volume was automatically determined using deep learning-based segmentation on baseline non-contrast CT scans. Outcomes included good functional outcome (modified Rankin Scale 0-2 at 90 days), any ICH, asymptomatic ICH (aICH), and sICH. Patients received either aspirin or not, and either heparin or not. Multivariable logistic regression evaluated treatment effect and effect modification.

resultsOf 628 patients, 614 with baseline CT were included. Median WML volume was 0.59 mL without significant differences between treatment arms. WML volume significantly modified the effect of aspirin on sICH (p = 0.01), but not on functional outcome (p = 0.95), any ICH (p = 0.52), or aICH (p = 0.30). Aspirin was associated with increased sICH risk, which decreased with increasing WML volume (aOR 0.96 [95% CI: 0.93-0.99] per 1 mL). For patients with large WML volumes, aspirin showed no significant effect on sICH risk. The effect of heparin on functional outcome, any ICH, aICH, and sICH was not modified by WML volume (p = 0.53, p = 0.26, p = 0.08, p = 0.63, respectively).

conclusionsWML volume significantly modified the effect of aspirin on sICH risk, with aspirin-associated risk decreasing as WML volume increased. WML volume did not modify the effect of aspirin or heparin on other outcomes. CRITICAL RELEVANCE STATEMENT: WML volume on non-contrast CT modifies the effect of aspirin during endovascular thrombectomy on sICH risk, yet no WML-based patient subgroup showed save benefits from periprocedural aspirin or heparin treatment. KEY POINTS: Periprocedural aspirin and unfractionated heparin during endovascular treatment cause a higher hemorrhage risk. WML volume is associated with worse functional outcome and WML volume significantly modifies the effect of aspirin on symptomatic hemorrhage risk, with aspirin-associated risk decreasing with increasing WML volume. No WML-volume-based patient subgroup was identified where aspirin or heparin treatment demonstrated safe clinical benefit.

Indexed as

Deep learningEndovascular proceduresIschemic strokeLeukoencephalopathiesTomography (X-ray computed)

Identifiers

PMID41123765
PMCPMC12546164

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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.