Dissektion der prognostischen Heterogenität komplexer Anomalien beim myelodysplastischen Syndrom (MDS) durch Entwicklung eines Punkte Scores / vorgelegt von Nicolas Arps ; Referentin: PD Dr. med. J. Schanz, Ko-Referent/in: Prof. Dr. Peter Burkfeind, Drittreferent/in: PD Dr. Sabine Sennhenn-Kirchner
The aim of this work was the development of an additive score for the prognostic classification of myelodysplastic syndrome (MDS) patients with three or more chromosomal abnormalities. To create the score, 253 patients were analyzed retrospectively. This score enables a prognostic classification using different parameters. Factors such as the influence of aberrations, cytopenias, the amount of blast cells and their combined occurrence have been taken into account. In this study a connection between anomaly combinations with statistically unexpected frequency and distinct anomalies as well a....
Medienart: |
Buch |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
Göttingen: 2023 |
Weitere Ausgaben: |
Erscheint auch als Online-Ausgabe: Dissektion der prognostischen Heterogenität komplexer Anomalien beim myelodysplastischen Syndrom (MDS) durch Entwicklung eines Punkte Scores |
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Sprache: |
Deutsch |
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Beteiligte Personen: |
Arps, Nicolas, 1986- [VerfasserIn] |
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Hochschulschrift: |
Themen: |
Chromosomal abnormalities |
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Umfang: |
V, 37 Seiten ; Illustrationen, Diagramme |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
1830880306 |
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245 | 1 | 0 | |a Dissektion der prognostischen Heterogenität komplexer Anomalien beim myelodysplastischen Syndrom (MDS) durch Entwicklung eines Punkte Scores |c vorgelegt von Nicolas Arps ; Referentin: PD Dr. med. J. Schanz, Ko-Referent/in: Prof. Dr. Peter Burkfeind, Drittreferent/in: PD Dr. Sabine Sennhenn-Kirchner |
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520 | |a The aim of this work was the development of an additive score for the prognostic classification of myelodysplastic syndrome (MDS) patients with three or more chromosomal abnormalities. To create the score, 253 patients were analyzed retrospectively. This score enables a prognostic classification using different parameters. Factors such as the influence of aberrations, cytopenias, the amount of blast cells and their combined occurrence have been taken into account. In this study a connection between anomaly combinations with statistically unexpected frequency and distinct anomalies as well a... | ||
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