The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Prospective, Population-Based Detection of Intracranial Vascular Malformations in Adults: The Scottish Intracranial Vascular Malformation Study (SIVMS)
Abstract
Background and Purpose— Intracranial vascular malformations (IVMs) are an important cause of intracranial hemorrhage, epilepsy, and long-term disability in adults. There are no published prospective, population-based studies dedicated to the detection of any type of IVM (cavernous malformations, venous malformations, and arteriovenous malformations [AVMs] of the brain or dura). Therefore, we established the Scottish Intracranial Vascular Malformation Study (SIVMS) to monitor detection and long-term prognosis of people with IVMs. Methods— We used multiple overlapping sources of case ascertainment to identify adults (aged ≥16 years) with a first-ever-in-a-lifetime diagnosis of any type of IVM made between January 1, 1999, and December 31, 2000, while resident in Scotland (mid-1999 adult population estimate 4 110 956). Results— Of 418 notifications to SIVMS, 190 adults (45%) were included, 181 (95%) of whom were deemed to harbor a definite IVM after review of diagnostic brain imaging and/or reports of autopsy/surgical excision pathology. The crude detection rate (per 100 000 adults per year) was 2.27 (95% CI, 1.96 to 2.62) for all IVMs, 1.12 (95% CI, 0.90 to 1.37) for brain AVMs, 0.56 (95% CI, 0.41 to 0.75) for cavernous malformations, 0.43 (95% CI, 0.31 to 0.61) for venous malformations, and 0.16 (95% CI, 0.08 to 0.27) for dural AVMs. Conclusions— In addition to providing data on the public health importance and comparative epidemiology of IVMs, continuing recruitment and follow-up of this prospective, population-based cohort will provide estimates of IVM prognosis.
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Cites
Clinical Epidemiology: A Basic Science for Clinical Medicine.
(1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-9-825_9 · Cited by 3,476
Statistics with Confidence: Confidence Intervals and Statistical Guidelines.
Jolliffe, F. R., Gardner, M. J., & Altman, D. G. (1990) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2982808 · Cited by 1,319
Capture-Recapture Methods in Epidemiology: Methods and Limitations
Hook, E. B., & Regal, R. R. (1995) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036192 · Cited by 731
Advances in diagnostic imaging and overestimations of disease prevalence and the benefits of therapy
Black, W. C., & Welch, H. G. (1993) · New England Journal of Medicine · doi:10.1056/nejm199304293281706 · Cited by 547
Al-Shahi, R. (2001) · Brain · doi:10.1093/brain/124.10.1900 · Cited by 506
Self-citationRisk of spontaneous haemorrhage after diagnosis of cerebral arteriovenous malformation
Mast, H., Young, W. L., Koennecke, H.-C., Sciacca, R. R., Osipov, A., Pile-Spellman, J., Hacein-Bey, L., Duong, H., Stein, B. M., & Mohr, J. (1997) · The Lancet · doi:10.1016/s0140-6736(97)05390-7 · Cited by 486
Incidental Findings on Brain Magnetic Resonance Imaging From 1000 Asymptomatic Volunteers
Katzman, G. L. (1999) · JAMA · doi:10.1001/jama.282.1.36 · Cited by 484
Comparing Stroke Incidence Worldwide: What Makes Studies Comparable?
Sudlow, C. L. M., & Warlow, C. P. (1996) · Stroke · doi:10.1161/01.str.27.3.550 · Cited by 451
Self-citationBrown, R. D., Wiebers, D. O., Torner, J. C., & O'Fallon, M. W. (1996) · Neurology · doi:10.1212/wnl.46.4.949 · Cited by 273
Yue, N. C., Longstreth, W. T., Elster, A. D., Jungreis, C. A., O'Leary, D. H., & Poirier, V. C. (1997) · Radiology · doi:10.1148/radiology.202.1.8988190 · Cited by 201
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Flemming, K. D., Graff-Radford, J., Aakre, J., Kantarci, K., Lanzino, G., Brown, R. D., Mielke, M. M., Roberts, R. O., Kremers, W., Knopman, D. S., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0439 · Cited by 136
Self-citationAsadi, H., Kok, H. K., Looby, S., Brennan, P., O'Hare, A., & Thornton, J. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2016.09.086 · Cited by 67
Metadata
- Authors
- Al-Shahi, R., Bhattacharya, J. J., Currie, D. G., Papanastassiou, V., Ritchie, V., Roberts, R. C., Sellar, R. J., & Warlow, C. P.
- Venue
- Stroke
- Published
- 2003-05
- Volume
- 34
- Issue
- 5
- Pages
- 1163-1169
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W1991893726
- Cited by
- 451
- References
- 12
- FWCI
- 4.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- Al-Shahi, R., Bhattacharya, J. J., Currie, D. G., Papanastassiou, V., Ritchie, V., Roberts, R. C., Sellar, R. J., & Warlow, C. P. (2003). Prospective, Population-Based Detection of Intracranial Vascular Malformations in Adults: The Scottish Intracranial Vascular Malformation Study (SIVMS). Stroke. https://doi.org/10.1161/01.str.0000069018.90456.c9
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