The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Mean Platelet Volume (MPV): New Perspectives for an Old Marker in the Course and Prognosis of Inflammatory Conditions
Open accessAbstract
Platelet size has been demonstrated to reflect platelet activity and seems to be a useful predictive and prognostic biomarker of cardiovascular events. It is associated with a variety of prothrombotic and proinflammatory diseases. The aim is a review of literature reports concerning changes in the mean platelet volume (MPV) and its possible role as a biomarker in inflammatory processes and neoplastic diseases. PubMed database was searched for sources using the following keywords: platelet activation, platelet count, mean platelet volume and: inflammation, cancer/tumor, cardiovascular diseases, myocardial infarction, diabetes, lupus disease, rheumatoid arthritis, tuberculosis, ulcerative colitis, renal disease, pulmonary disease, influencing factors, age, gender, genetic factors, oral contraceptives, smoking, lifestyle, methods, standardization, and hematological analyzer. Preference was given to the sources which were published within the past 20 years. Increased MPV was observed in cardiovascular diseases, cerebral stroke, respiratory diseases, chronic renal failure, intestine diseases, rheumatoid diseases, diabetes, and various cancers. Decreased MPV was noted in tuberculosis during disease exacerbation, ulcerative colitis, SLE in adult, and different neoplastic diseases. The study of MPV can provide important information on the course and prognosis in many inflammatory conditions. Therefore, from the clinical point of view, it would be interesting to establish an MPV cut-off value indicating the intensity of inflammatory process, presence of the disease, increased risk of disease development, increased risk of thrombotic complications, increased risk of death, and patient’s response on applied treatment. Nevertheless, this aspect of MPV evaluation allowing its use in clinical practice is limited and requires further studies.
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Mean Platelet Volume: A Link Between Thrombosis and Inflammation?
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Mean platelet volume as a predictor of cardiovascular risk: a systematic review and meta‐analysis
CHU, S. G., BECKER, R. C., BERGER, P. B., BHATT, D. L., EIKELBOOM, J. W., KONKLE, B., MOHLER, E. R., REILLY, M. P., & BERGER, J. S. (2010) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2009.03584.x · Cited by 1,043
The incredible journey: From megakaryocyte development to platelet formation
Machlus, K. R., & Italiano, J. E. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201304054 · Cited by 856
The biogenesis of platelets from megakaryocyte proplatelets
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Thrombocytopenia associated with chronic liver disease
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Platelet activation: assessment and quantification
Kamath, S. (2001) · European Heart Journal · doi:10.1053/euhj.2000.2515 · Cited by 516
Mean platelet volume as an indicator of platelet activation: methodological issues
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Cited by
Pogorzelska, K., Krętowska, A., Krawczuk-Rybak, M., & Sawicka-Żukowska, M. (2020) · Advances in Medical Sciences · doi:10.1016/j.advms.2020.05.002 · Cited by 153
Xu, H., Wei, Y., Zheng, L., Zhang, H., Luo, T., Li, H., Ma, J., & Chen, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.843985 · Cited by 19
Ege, F., & Isik, R. (2023) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2808161 · Cited by 11
Metadata
- Authors
- Korniluk, A., Koper-Lenkiewicz, O. M., Kamińska, J., Kemona, H., & Dymicka-Piekarska, V.
- Venue
- Mediators of Inflammation
- Publisher
- Wiley
- Published
- 2019-04-17
- Volume
- 2019
- Pages
- 1-14
- ISSN
- 0962-9351 (ISSN-L)
- 1466-1861
- OpenAlex
- W2936452886
- Cited by
- 577
- References
- 75
- FWCI
- 38.37
- Type
- journal article
- Language
- en
- Open access
- gold
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- Korniluk, A., Koper-Lenkiewicz, O. M., Kamińska, J., Kemona, H., & Dymicka-Piekarska, V. (2019). Mean Platelet Volume (MPV): New Perspectives for an Old Marker in the Course and Prognosis of Inflammatory Conditions. Mediators of Inflammation. https://doi.org/10.1155/2019/9213074
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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