Evidence map›Paper›PMID 41645104›Full record

ArticleBMC neurology2026

Enhancing risk prediction for cerebral venous thrombosis: evaluation of an integrated approach with clinical CVT probability score and D-dimer levels.

Iselin T Syberg Dahl, Sanpreet K G Dhami, Diana Aguiar de Sousa, Ola Nakken, Svetozar Zarnovicky, Kashif Waqar Faiz, Else Charlotte Sandset, Kjersti Grøtta Vetvik, Espen Saxhaug Kristoffersen

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Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Iselin T Syberg DahlDepartment of Neurology, Akershus University Hospital, PO Box 1000, Lørenskog, 1478, Norway.
Sanpreet K G DhamiDepartment of Neurology, Akershus University Hospital, PO Box 1000, Lørenskog, 1478, Norway.
Diana Aguiar de SousaStroke Center, Faculdade de Medicina, Lisbon Central University Hospital - ULS São José, Universidade de Lisboa, Lisbon, Portugal.
Ola NakkenDepartment of Neurology, Akershus University Hospital, PO Box 1000, Lørenskog, 1478, Norway.
Svetozar ZarnovickyDepartment of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway.
Kashif Waqar FaizLovisenberg Diaconal University College, Oslo, Norway.
Else Charlotte SandsetInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Kjersti Grøtta VetvikDepartment of Neurology, Akershus University Hospital, PO Box 1000, Lørenskog, 1478, Norway.
Espen Saxhaug KristoffersenDepartment of Neurology, Akershus University Hospital, PO Box 1000, Lørenskog, 1478, Norway. e.s.kristoffersen@medisin.uio.no.ORCID http://orcid.org/0000-0002-8999-5424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosing cerebral venous thrombosis (CVT) is challenging due to varied symptoms. Computed tomography venography (CTV) or magnetic resonance venography (MRV) are the gold standard, but resource-demanding with potential side effects. We evaluated the diagnostic properties of a previously proposed CVT probability score combined with D-dimer levels in detecting CVT.

methodsMedical records of consecutive adults who underwent CTV or MRV due to suspicion of CVT at a Norwegian primary hospital were retrospectively analyzed. The CVT probability score was calculated based on previous medical history and clinical findings/symptoms at presentation to stratify patients into low, moderate or high CVT probability groups. Performance characteristics were calculated for the CVT probability score with and without D-dimer levels.

resultsAmong 578 patients evaluated from 2016 to 2019, CVT was confirmed in 6.6%. The CVT probability score was available for 444 patients and distributed one-third of CVT patients across each CVT probability group, with a 0.33 sensitivity for each group. A negative predictive value (NPV) of 0.96 was noted for the high CVT probability group. The NPV was 0.99 for the combined low/moderate CVT probability group including D-dimer > 500 µg/L. The positive predictive values were all fairly low.

conclusionOur results indicate that using a CVT probability score and D-dimer levels can help exclude CVT; however, false positive cases present a clinical challenge and carry the risk of excessive advanced imaging.

Indexed as

Fibrin Fibrinogen Degradation ProductsIntracranial ThrombosisVenous ThrombosisAdultAgedFemaleHumansMaleMiddle AgedPhlebographyPredictive Value of TestsProbabilityRetrospective StudiesRisk AssessmentFibrin Fibrinogen Degradation Productsfibrin fragment DCerebral venous thrombosisHeadacheImagingStroke

Identifiers

PMID41645104
PMCPMC12964753

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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.