Anti‐β2‐glycoprotein I antibody testing in the laboratory diagnosis of antiphospholipid syndrome
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Triple positivity on all three antiphospholipid tests is associated with thrombosis and identifies high-risk patients with antiphospholipid syndrome.
“triple positivity (all 3 tests positive) is associated with thrombosis and identifies high-risk patients with aPL syndrome (APS).6,7”
From Incidence of a first thromboembolic event in asymptomatic carriers of high-risk antiphospholipid antibody profile: a multicenter prospective study (2011) · cites this paper as [6]
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References 17 · Cited by 3
- Authors
- PENGO, V.
- Affiliations
- University of Padua (IT)
- Corresponding author
- PENGO, V.
- ORCID
- PENGO, V.
- Venue
- Journal of Thrombosis and Haemostasis
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 3
- Issue
- 6
- Pages
- 1158-1159
- ISSN
- 1538-7836 (ISSN-L)
- OpenAlex
- W1565966142
- Cited by
- 3
- References
- 17
- Citations by year
- 2022: 1 · 2020: 1
- FWCI
- 0.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Thrombosis and Haemostasis (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
- Health Sciences › Medicine › Hematology › Blood Coagulation and Thrombosis Mechanisms
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Vasculitis and related conditions
- Keywords
- antiphospholipid syndrome, anti-beta2-glycoprotein I antibodies, lupus anticoagulant, anticardiolipin antibodies, thrombosis risk, autoantigen specificity, coagulation tests, ELISA, thrombosis risk stratification, autoimmunity, prothrombin
- MeSH terms
- Autoantibodies, Enzyme-Linked Immunosorbent Assay, Glycoproteins, Humans, Sensitivity and Specificity, Antiphospholipid Syndrome, Clinical Laboratory Techniques, beta 2-Glycoprotein I
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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.
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