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024 7 _ |a 10.1161/STROKEAHA.115.011321
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024 7 _ |a pmid:26658450
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024 7 _ |a 0039-2499
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024 7 _ |a 1524-4628
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037 _ _ |a DZNE-2020-04916
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Hong, Ja Bin
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245 _ _ |a Ankle-Brachial Index and Recurrent Stroke Risk: Meta-Analysis.
260 _ _ |a Philadelphia, Pa.
|c 2016
|b Lippincott Williams & Wilkins
264 _ 1 |3 print
|2 Crossref
|b Ovid Technologies (Wolters Kluwer Health)
|c 2016-02-01
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a The ankle-brachial index (ABI) is a fast, cheap, noninvasive indicator of atherosclerotic burden that may also be a predictor of stroke recurrence. In this systematic review and meta-analysis, we sought to explore ABI's merit as a marker for stroke recurrence and vascular risk by synthesizing the data currently available in stroke literature.We searched Embase, MEDLINE, and Pubmed databases for prospective cohort studies that included consecutive patients with stroke and transient ischemic attack, measured ABI at baseline, and performed a follow-up assessment at least 12 months after initial stroke or transient ischemic attack. The following end points were chosen for our analysis: recurrent stroke and combined vascular end point (recurrent vascular event or vascular death). Crude risk ratios and adjusted Cox proportional hazard ratios were combined separately using the random-effects model. Study-level characteristics (eg, percent of cohort with a history of hypertension, average cohort age, level of adjustment, and mean follow-up duration) were included as covariates in a metaregression analysis.We identified 11 studies (5374 patients) that were not significantly heterogeneous. Pooling adjusted hazard ratios showed that low ABI was associated with both an increased hazard of recurrent stroke (hazard ratio, 1.70; 95% confidence interval, 1.10-2.64) and an increased risk of vascular events or vascular death (hazard ratio, 2.22; 95% confidence interval, 1.67-2.97).Our results confirm the positive association between ABI and stroke recurrence. Further studies are needed to see whether inclusion of ABI will help improve the accuracy of prediction models and management of stroke patients.
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588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 2 |a Age Factors
|2 MeSH
650 _ 2 |a Ankle Brachial Index: statistics & numerical data
|2 MeSH
650 _ 2 |a Atherosclerosis: epidemiology
|2 MeSH
650 _ 2 |a Atherosclerosis: physiopathology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Hypertension: epidemiology
|2 MeSH
650 _ 2 |a Ischemic Attack, Transient: epidemiology
|2 MeSH
650 _ 2 |a Multivariate Analysis
|2 MeSH
650 _ 2 |a Odds Ratio
|2 MeSH
650 _ 2 |a Proportional Hazards Models
|2 MeSH
650 _ 2 |a Recurrence
|2 MeSH
650 _ 2 |a Risk Assessment
|2 MeSH
650 _ 2 |a Severity of Illness Index
|2 MeSH
650 _ 2 |a Stroke: epidemiology
|2 MeSH
700 1 _ |a Leonards, Christopher O
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Endres, Matthias
|0 P:(DE-2719)2811033
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|u dzne
700 1 _ |a Siegerink, Bob
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700 1 _ |a Liman, Thomas G
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|e Corresponding author
773 1 8 |a 10.1161/strokeaha.115.011321
|b : Ovid Technologies (Wolters Kluwer Health), 2016-02-01
|n 2
|p 317-322
|3 journal-article
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|t Stroke
|v 47
|y 2016
|x 0039-2499
773 _ _ |a 10.1161/STROKEAHA.115.011321
|g Vol. 47, no. 2, p. 317 - 322
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|t Stroke
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910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
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LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21