The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Markers of endothelial dysfunction in lacunar infarction and ischaemic leukoaraiosis
Open accessAbstract
Patients with cerebral small vessel disease (SVD) can present as isolated lacunar infarction or with diffuse white matter changes, with the imaging appearance of leukoaraiosis. Endothelial dysfunction, which can lead to breakdown of the blood-brain barrier, impaired cerebral autoregulation and prothrombotic changes, is believed to be important in mediating disease. Circulating levels of intercellular adhesion molecule 1 (ICAM1), thrombomodulin (TM), tissue factor (TF) and tissue factor pathway inhibitor (TFPI) are markers of endothelial activation and damage, and may provide insights into disease pathogenesis or differences between phenotypes. We therefore measured these markers in a prospective series of patients with lacunar stroke. One hundred and ten white Caucasian patients with previous lacunar stroke and 50 community control subjects were studied. Markers of endothelial function were measured on venous blood samples. Patients were classified on brain imaging into two groups: isolated lacunar infarction (n = 47) and ischaemic leukoaraiosis, defined as a clinical lacunar stroke and leukoaraiosis on brain imaging (n = 63). The number of lacunes and severity of leukoaraiosis were also scored on MRI. ICAM1, TM and TFPI were elevated in cerebral SVD subjects compared with controls (P <or= 0.006). The ischaemic leukoaraiosis group had a different endothelial marker profile, with lower levels of TFPI (P = 0.01) and a higher TF/TFPI ratio (P = 0.01) compared with the isolated lacunar infarction group. TM levels were associated with the number of lacunes (P = 0.008) and the leukoaraiosis score (P = 0.03), but TF levels and the TF/TFPI ratio were associated only with the extent of leukoaraiosis (P
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Adams, H. P., Bendixen, B. H., Kappelle, L. J., Biller, J., Love, B. B., Gordon, D. L., & Marsh, E. E. (1993) · Stroke · doi:10.1161/01.str.24.1.35 · Cited by 12,335
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
Practical Statistics for Medical Research.
Bartko, J. J., & Altman, D. G. (1992) · Journal of the American Statistical Association · doi:10.2307/2290246 · Cited by 4,797
Endothelial cells in physiology and in the pathophysiology of vascular disorders.
Cines, D. B., Pollak, E. S., Buck, C. A., Loscalzo, J., Zimmerman, G. A., McEver, R. P., Pober, J. S., Wick, T. M., Konkle, B. A., Schwartz, B. S., et al. (1998) · PubMed · doi:10.1182/blood.v91.10.3527 · Cited by 2,256
Bevilacqua, M. P., Stengelin, S., Gimbrone, M. A., & Seed, B. (1989) · Science · doi:10.1126/science.2466335 · Cited by 2,005
Pathologic correlates of incidental MRI white matter signal hyperintensities
Fazekas, F., Kleinert, R., Offenbacher, H., Schmidt, R., Kleinert, G., Payer, F., Radner, H., & Lechner, H. (1993) · Neurology · doi:10.1212/wnl.43.9.1683 · Cited by 1,619
Hwang, S.-J., Ballantyne, C. M., Sharrett, A. R., Smith, L. C., Davis, C. E., Gotto, A. M., & Boerwinkle, E. (1997) · Circulation · doi:10.1161/01.cir.96.12.4219 · Cited by 1,344
Pathogenesis of Leukoaraiosis: A Review
Pantoni, L., & Garcia, J. H. (1997) · Stroke · doi:10.1161/01.str.28.3.652 · Cited by 1,225
The arterial lesions underlying lacunes
Fisher, C. M. (1969) · Acta Neuropathologica · doi:10.1007/bf00685305 · Cited by 755
Awad, I. A., Johnson, P. C., Spetzler, R. F., & Hodak, J. A. (1986) · Stroke · doi:10.1161/01.str.17.6.1090 · Cited by 572
Cited by
Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging
Wardlaw, J. M., Smith, C., & Dichgans, M. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70060-7 · Cited by 1,657
Enlarged perivascular spaces on MRI are a feature of cerebral small vessel disease
Doubal, F. N., MacLullich, A. M. J., Ferguson, K. J., Dennis, M. S., & Wardlaw, J. M. (2010) · Stroke · doi:10.1161/strokeaha.109.564914 · Cited by 904
Blood–brain barrier: Ageing and microvascular disease – systematic review and meta-analysis
Farrall, A. J., & Wardlaw, J. M. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.07.015 · Cited by 882
Review: Cerebral microvascular pathology in ageing and neurodegeneration
Brown, W. R., & Thore, C. R. (2011) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2010.01139.x · Cited by 749
Ischemic stroke: experimental models and reality
Sommer, C. J. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1667-0 · Cited by 599
Metadata
- Authors
- Hassan, A.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-02-01
- Volume
- 126
- Issue
- 2
- Pages
- 424-432
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2148455094
- Cited by
- 417
- References
- 54
- FWCI
- 7.46
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Markers of endothelial dysfunction in lacunar infarction and ischaemic leukoaraiosis. https://app.cochat.ai/papers/10.1093/brain/awg040
- The paper
- Hassan, A. (2003). Markers of endothelial dysfunction in lacunar infarction and ischaemic leukoaraiosis. Brain. https://doi.org/10.1093/brain/awg040
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.