Title |
Mean Platelet Volume and Immature Platelet Fraction in Autoimmune Disorders
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Published in |
Frontiers in Medicine, September 2017
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DOI | 10.3389/fmed.2017.00146 |
Pubmed ID | |
Authors |
Deonilson Schmoeller, Maria Mercedes Picarelli, Terezinha Paz Munhoz, Carlos Eduardo Poli de Figueiredo, Henrique Luiz Staub |
Abstract |
Mean platelet volume (MPV), measured using automated blood analysers, has been appraised as a potential biomarker in cardiovascular disease, diabetes mellitus, and cancer. The test, a useful tool in differentiation of thrombocytopenic states, has now been carried out for autoimmune disorders, but data are yet scarce. Controversial results have been obtained in systemic and organ-specific autoimmune disorders. Another test, the immature platelet fraction (IPF) reflects the amount of young, reticulated platelets. IPF is calculated by automated hematology analysis or flow cytometry, and it is usually high in patients with rapid platelet destruction. For both MPV and IPF, standardization of cutoff is a major need. In this review, we focus the current applicability of MPV and IPF as biomarkers in patients with autoimmune diseases. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 20% |
United States | 1 | 20% |
Canada | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 106 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 15 | 14% |
Student > Master | 13 | 12% |
Other | 9 | 8% |
Student > Postgraduate | 8 | 8% |
Student > Ph. D. Student | 8 | 8% |
Other | 20 | 19% |
Unknown | 33 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 39% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Agricultural and Biological Sciences | 6 | 6% |
Unspecified | 3 | 3% |
Immunology and Microbiology | 3 | 3% |
Other | 9 | 8% |
Unknown | 33 | 31% |