A predictive algorithm using clinical and laboratory parameters may assist in ruling out and in diagnosing MDS

We present a noninvasive Web-based app to help exclude or diagnose myelodysplastic syndrome (MDS), a bone marrow (BM) disorder with cytopenias and leukemic risk, diagnosed by BM examination. A sample of 502 MDS patients from the European MDS (EUMDS) registry (n > 2600) was combined with 502 contr...

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Vydané v:	Blood advances Ročník 5; číslo 16; s. 3066 - 3075
Hlavní autori:	Oster, Howard S., Crouch, Simon, Smith, Alexandra, Yu, Ge, Abu Shrkihe, Bander, Baruch, Shoham, Kolomansky, Albert, Ben-Ezra, Jonathan, Naor, Shachar, Fenaux, Pierre, Symeonidis, Argiris, Stauder, Reinhard, Cermak, Jaroslav, Sanz, Guillermo, Hellström-Lindberg, Eva, Malcovati, Luca, Langemeijer, Saskia, Germing, Ulrich, Holm, Mette Skov, Madry, Krzysztof, Guerci-Bresler, Agnes, Culligan, Dominic, Sanhes, Laurence, Mills, Juliet, Kotsianidis, Ioannis, van Marrewijk, Corine, Bowen, David, de Witte, Theo, Mittelman, Moshe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Washington, DC Elsevier Inc 24.08.2021 American Society of Hematology
Predmet:	Myeloid Neoplasia
ISSN:	2473-9529, 2473-9537, 2473-9537
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