Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes

Journal article

Peer reviewed

A. Nazha, K. Al-Issa, B. K. Hamilton, T. Radivoyevitch, A. T. Gerds, S. Mukherjee, V. Adema, A. Zarzour, N. Abuhadra, B. J. Patel, …

Leukemia, Vol.31(12), pp.2848-2850

2017-12-01

PMID: 28819282

Abstract

Hematology

Life Sciences & Biomedicine

Oncology

Science & Technology

21 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: 1 Clinical & Life Sciences; 1.103 Blood Disorders; 1.103.155 Acute Myeloid Leukemia
Web Of Science research areas: Hematology; Oncology
ESI research areas: Clinical Medicine

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Source: InCites

Title: Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes
Creators: A. Nazha - Cleveland Clinic
K. Al-Issa - Cleveland Clinic
B. K. Hamilton - Cleveland Clinic
T. Radivoyevitch - Cleveland Clinic
A. T. Gerds - Cleveland Clinic
S. Mukherjee - Cleveland Clinic
V. Adema - Cleveland Clinic
A. Zarzour - Cleveland Clinic
N. Abuhadra - Cleveland Clinic
B. J. Patel - Cleveland Clinic
C. M. Hirsch - Cleveland Clinic
A. Advani - Cleveland Clinic
B. Przychodzen - Cleveland Clinic
H. E. Carraway - Cleveland Clinic
J. P. Maciejewski - Cleveland Clinic
M. A. Sekeres - Cleveland Clinic
Publication Details: Leukemia, Vol.31(12), pp.2848-2850
Publisher: Springer Nature
Number of pages: 3
Academic Unit: Miller School of Medicine; UMMG Dept of Medicine - Hematology/Oncology
Language: English
Resource Type: Journal article
PMID: 28819282
Record Identifier: 991031757721802976