The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Multiple electrode aggregometry: A new device to measure platelet aggregation in whole blood
Abstract
Summary: Several methods are used to analyse platelet function in whole blood. A new device to measure whole blood platelet aggregation has been developed, called multiple electrode platelet aggregometry (MEA). Our aim was to evaluate MEA in comparison with the single platelet counting (SPC) method for the measurement of platelet aggregation and platelet inhibition by aspirin or apyrase in diluted whole blood. Platelet aggregation induced by different concentrations of ADP, collagen and TRAP-6 and platelet inhibition by apyrase or aspirin were determined in citrateor hirudin-anticoagulated blood by MEA and SPC. MEA indicated that spontaneous platelet aggregation was lower, and stimulated platelet aggregation was higher in hirudin- than citrate-anticoagulated blood. In hirudin-anticoagulated, but not citrate-anticoagulated blood, spontaneous platelet aggregation measured by MEA was inhibited by apyrase. For MEA compared with SPC the dose response-curves of agonist-induced platelet aggregation in citrate- and hirudin-blood showed similar EC50 values for TRAP, and higher EC50 values for ADP (non-significant) and collagen (p<0.05). MEA and the SPC method gave similar results concerning platelet-inhibition by apyrase and aspirin. MEA was more sensitive than SPC to the inhibitory effect of aspirin in collagen-induced aggregation. In conclusion, MEA is an easy, reproducible and sensitive method for measuring spontaneous and stimulated platelet aggregation, and evaluating antiplatelet drugs in diluted whole blood. The use of hirudin as an anticoagulant is preferable to the use of citrate. MEA is a promising technique for experimental and clinical applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The electronic aggregometer: A novel device for assessing platelet behavior in blood
Cardinal, D. C., & Flower, R. J. (1980) · Journal of Pharmacological Methods · doi:10.1016/0160-5402(80)90024-8 · Cited by 694
Effect of Ca 2+ on GP IIb-IIIa Interactions With Integrilin
Phillips, D. R., Teng, W., Arfsten, A. E., Nannizzi‐Alaimo, L., White, M. M., Longhurst, C. M., Shattil, S. J., Randolph, A., Jakubowski, J. A., Jennings, L. K., et al. (1997) · Circulation · doi:10.1161/01.cir.96.5.1488 · Cited by 247
Santos, M. T., Valles, J., Marcus, A. J., Safier, L. B., Broekman, M. J., Islam, N., Ullman, H. L., Eiroa, A. M., & Aznar, J. (1991) · Journal of Clinical Investigation · doi:10.1172/jci115032 · Cited by 242
Dyszkiewicz-Korpanty, A. M., Frenkel, E. P., & Sarode, R. (2005) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/107602960501100103 · Cited by 110
Storey, R. F., Newby, L. J., & Heptinstall, S. (2001) · Platelets · doi:10.1080/09537100120085450 · Cited by 105
Mandal, S., Sarode, R., Dash, S., et al. (1993) · American Journal of Clinical Pathology · doi:10.1093/ajcp/100.2.103 · Cited by 62
Cho, N. H., Becker, D. J., Dorman, J. S., Wolfson, S., Kuller, L. H., DRASH, A. L., Follansbee, W. F., Kelsey, S. F., & Orchard, T. J. (1989) · Thrombosis and Haemostasis · doi:10.1055/s-0038-1646540 · Cited by 16
Cited by
Weber, C. F., Görlinger, K., Meininger, D., Herrmann, E., Bingold, T., Moritz, A., Cohn, L. H., & Zacharowski, K. (2012) · Anesthesiology · doi:10.1097/aln.0b013e318264c644 · Cited by 625
Calcium-Channel Blockers Reduce the Antiplatelet Effect of Clopidogrel
Siller-Matula, J. M., Lang, I., Christ, G., & Jilma, B. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.07.055 · Cited by 262
Mahendru, A. A., Everett, T. R., McEniery, C. M., Wilkinson, I. B., & Lees, C. C. (2013) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2012.733774 · Cited by 19
Metadata
- Authors
- Calatzis, A., Penz, S., Losonczy, H., Siess, W., & Tóth, O.
- Venue
- Thrombosis and Haemostasis
- Publisher
- Georg Thieme Verlag KG
- Published
- 2006
- Volume
- 96
- Issue
- 12
- Pages
- 781-788
- ISSN
- 0340-6245 (ISSN-L)
- 2567-689X
- OpenAlex
- W2095631860
- Cited by
- 538
- References
- 7
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multiple electrode aggregometry: A new device to measure platelet aggregation in whole blood. https://app.cochat.ai/papers/10.1160/th06-05-0242
- The paper
- Calatzis, A., Penz, S., Losonczy, H., Siess, W., & Tóth, O. (2006). Multiple electrode aggregometry: A new device to measure platelet aggregation in whole blood. Thrombosis and Haemostasis. https://doi.org/10.1160/th06-05-0242
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
