2005
DOI: 10.1080/09537100400020161
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Can platelet aggregometry be standardized?

Abstract: Platelet aggregometry is an important technique which is frequently used by hemostaseologists and researchers. Gustav Born introduced the principle more than 40 years ago. Many different ways to perform aggregometry have been published. The results of aggregometry may become more comparable if some rules would be generally accepted. (1) The pre-analytical procedures are probably the most important factors which influence aggregometry results. Besides correct blood sampling important factors are the preparation… Show more

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Cited by 110 publications
(83 citation statements)
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“…b Length of the lag phase (median score 8, range [5][6][7][8][9]. c Slope of aggregation (median score 7, range 3-9).…”
Section: Evaluation and Reporting Of Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…b Length of the lag phase (median score 8, range [5][6][7][8][9]. c Slope of aggregation (median score 7, range 3-9).…”
Section: Evaluation and Reporting Of Resultsmentioning
confidence: 99%
“…Ballots were blinded to the other members. The extreme scores (highest and lowest) were discarded, the median of the remaining scores was calculated and the area containing the majority of the ballots defined the classification of each statement about LTA practice: inappropriate (scores 1-3), uncertain (4-6) and appropriate (7)(8)(9).…”
Section: Rand Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The resulting IC 50 value represents the mean of 3 independent assays. The platelet aggregation assay was performed as described previously (23). Human plateletrich plasma was investigated after stimulus of adenosine diphosphate and platelet clumping recorded as a dynamic measure.…”
Section: F-gp1mentioning
confidence: 99%
“…In fact, when the same correlation analysis included only the 39 patients with isolated VWD as well as the non-bleeder controls, we then obtained similar results to Tosetto et al 29 There is a lack of standardization regarding the optimal number and agonist concentration of platelet functional tests. [7][8][9]30 Moreover, the influence of pre-analytical variables, types of samples and recording instruments, and the lack of consensus about agonist type and concentration and interpretation of results, tend to discredit study conclusions. To counteract these drawbacks, we standardized the assay considering all these factors.…”
Section: Values Represent Mean (Range) *Unpaired Student's T Test (Fmentioning
confidence: 99%