The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Automated Blood Cell Counts: State of the Art
Abstract
The CBC count and leukocyte differential count (LDC) are among the most frequently requested clinical laboratory tests. These analyses are highly automated, and the correct interpretation of results requires extensive knowledge of the analytic performance of the instruments and the clinical significance of the results they provide. In this review, we analyze the state of the art regarding traditional and new parameters with emphasis on clinical applications and analytic quality. The problems of some traditional parameters of the CBC count, such as platelet counts, some components of the LDC such as monocyte and basophil counts, and other commonly used indices such as red cell volume distribution width and platelet indices such as mean platelet volume and platelet distribution width are considered. The new parameters, evaluated from analytic and clinical viewpoints, are the available components of the extended differential count (hematopoietic progenitor cells, immature granulocytes, and erythroblasts), the immature reticulocyte fraction, the reticulocyte indices, the fragmented RBCs, and the immature platelet fraction.
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Cites
Locatelli, F. (2004) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfh1032 · Cited by 785
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The Threshold for Prophylactic Platelet Transfusions in Adults with Acute Myeloid Leukemia
Rebulla, P., Finazzi, G., Marangoni, F., Avvisati, G., Gugliotta, L., Tognoni, G., Barbui, T., Mandelli, F., & Sirchia, G. (1997) · New England Journal of Medicine · doi:10.1056/nejm199712253372602 · Cited by 572
Iron Deficiency and Erythropoiesis: New Diagnostic Approaches
Brugnara, C. (2003) · Clinical Chemistry · doi:10.1373/49.10.1573 · Cited by 506
Influence of platelet size on outcome after myocardial infarction
Martin, J. F., Bath, P. M. W., & Burr, M. L. (1991) · The Lancet · doi:10.1016/0140-6736(91)92719-i · Cited by 491
Endler, G., Klimesch, A., Sunder‐Plassmann, H., Schillinger, M., Exner, M., Mannhalter, C., Jordanova, N., Christ, G., Thalhammer, R., Huber, K., et al. (2002) · British Journal of Haematology · doi:10.1046/j.1365-2141.2002.03441.x · Cited by 475
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Improved Classification of Anemias by MCV and RDW
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Diagnosis from the Blood Smear
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Cited by
Iron deficiency and heart failure: diagnostic dilemmas and therapeutic perspectives
Jankowska, E. A., von Haehling, S., Anker, S. D., Macdougall, I. C., & Ponikowski, P. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs224 · Cited by 399
“Increased RDW is, however, typical not only for anaemia due to ID, but also anaemia resulting from deficiencies in vitamin B12 and folic acid, of chronic diseases and sideroblastic anaemia.(77,83,84) In HF patients, there are associations between high RDW, and reduced haemoglobin, low MCV, reduced Tsat,(85) increased…”
BackgroundInfluentialQiao, R., Yang, S., Yao, B., Wang, H., Zhang, J., & Shang, H. (2014) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2012-0486 · Cited by 64
Metadata
- Authors
- Buttarello, M., & Plebani, M.
- Venue
- American Journal of Clinical Pathology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07
- Volume
- 130
- Issue
- 1
- Pages
- 104-116
- ISSN
- 0002-9173 (ISSN-L)
- 1943-7722
- OpenAlex
- W2097049686
- Cited by
- 355
- References
- 53
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
