2015
DOI: 10.1016/j.thromres.2015.02.004
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Ultrastructure and composition of thrombi in coronary and peripheral artery disease: Correlations with clinical and laboratory findings

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Cited by 17 publications
(22 citation statements)
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“…Regression analysis and statistical hypothesis testing were performed on an array of thrombus composition and routine clinical data of each patient. Previously described algorithms were used (Kuiper statistical test for equality of distribution [28], one-tail statistical test for median equality [25], linear regression models with response variable described as quadratic function of one or two explanatory variables [25]) with modifications detailed in the Online Resource.…”
Section: Methodsmentioning
confidence: 99%
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“…Regression analysis and statistical hypothesis testing were performed on an array of thrombus composition and routine clinical data of each patient. Previously described algorithms were used (Kuiper statistical test for equality of distribution [28], one-tail statistical test for median equality [25], linear regression models with response variable described as quadratic function of one or two explanatory variables [25]) with modifications detailed in the Online Resource.…”
Section: Methodsmentioning
confidence: 99%
“…In the case of CAD and PAD patients thrombi were collected during acute therapeutic catheter interventions and operations, as previously described [1]. In AIS, thrombi were removed via stent-retriever thrombectomy from acutely occluded large vessels of the circle of Willis.…”
Section: Thrombus Collectionmentioning
confidence: 99%
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“…The electron microscopic measurements generate data on fibrin fiber diameter and thrombus occupancy by fibrin and blood cells (red blood cells, leukocytes and platelets). The immunehistochemical measurements generate data on the ratio of fibrin and platelet antigens 27 . The data is analysed using hypothesis testing for differences between groups of patients with common clinical features in order to draw general conclusions on the characteristics of the disease.…”
Section: Incorporating Fuzzy Sets In Statistical Problems With Non-fumentioning
confidence: 99%
“…For example, red blood cells are known to modify the fibrin structure causing formation of thinner fibers 28 . The red blood cell occupancy in different sections of the same thrombus can vary between 7% and 21% 27 . If these are considered as separate observations, this artificially increases the number of clots with thin or with thick fibers taken into consideration.…”
Section: Incorporating Fuzzy Sets In Statistical Problems With Non-fumentioning
confidence: 99%