Panel of Biomarkers Predicts Stroke.
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| Title: | Panel of Biomarkers Predicts Stroke. |
|---|---|
| Authors: | LASKOWITZ, D T1 (AUTHOR), BLESSING, R1 (AUTHOR), FLOYD, J1 (AUTHOR), WHITE, W D1 (AUTHOR), LYNCH, J R1 (AUTHOR) |
| Source: | Annals of the New York Academy of Sciences. 2005, Vol. 1053 Issue 1, p30-30. 1p. |
| Subjects: | Cerebrovascular disease diagnosis, Biomarkers, Ischemia, Myocardial infarction, Biochemistry |
| Abstract: | The article presents information on a medical research on biomarkers, that can be used to diagnose stroke with high sensitivity and specificity in patients. Blood samples for the research were drawn from 130 patients, with suspected heart stroke. Patients with intracranial hemorrhage (ICH) were excluded for the study. The research found that a panel of biomarkers was able to predict the diagnosis of ischemic stroke with high sensitivity and specificity. |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 25253893 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Panel of Biomarkers Predicts Stroke. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22LASKOWITZ%2C+D+T%22">LASKOWITZ, D T</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22BLESSING%2C+R%22">BLESSING, R</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22FLOYD%2C+J%22">FLOYD, J</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22WHITE%2C+W+D%22">WHITE, W D</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22LYNCH%2C+J+R%22">LYNCH, J R</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+the+New+York+Academy+of+Sciences%22">Annals of the New York Academy of Sciences</searchLink>. 2005, Vol. 1053 Issue 1, p30-30. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cerebrovascular+disease+diagnosis%22">Cerebrovascular disease diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Ischemia%22">Ischemia</searchLink><br /><searchLink fieldCode="DE" term="%22Myocardial+infarction%22">Myocardial infarction</searchLink><br /><searchLink fieldCode="DE" term="%22Biochemistry%22">Biochemistry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article presents information on a medical research on biomarkers, that can be used to diagnose stroke with high sensitivity and specificity in patients. Blood samples for the research were drawn from 130 patients, with suspected heart stroke. Patients with intracranial hemorrhage (ICH) were excluded for the study. The research found that a panel of biomarkers was able to predict the diagnosis of ischemic stroke with high sensitivity and specificity. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=25253893 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1196/annals.1344.051 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 30 Subjects: – SubjectFull: Cerebrovascular disease diagnosis Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Ischemia Type: general – SubjectFull: Myocardial infarction Type: general – SubjectFull: Biochemistry Type: general Titles: – TitleFull: Panel of Biomarkers Predicts Stroke. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: LASKOWITZ, D T – PersonEntity: Name: NameFull: BLESSING, R – PersonEntity: Name: NameFull: FLOYD, J – PersonEntity: Name: NameFull: WHITE, W D – PersonEntity: Name: NameFull: LYNCH, J R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 00778923 Numbering: – Type: volume Value: 1053 – Type: issue Value: 1 Titles: – TitleFull: Annals of the New York Academy of Sciences Type: main |
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