Table of Contents
International Scholarly Research Notices
Volume 2017, Article ID 1076493, 6 pages
https://doi.org/10.1155/2017/1076493
Research Article

Consistency Test between Scoring Systems for Predicting Outcomes of Chronic Myeloid Leukemia in a Saudi Population Treated with Imatinib

1The Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia
2School of Computer Science, University of Adelaide, Adelaide, SA, Australia
3Pathology and Laboratory Medicine, King Abdulaziz Medical City, National Guard Health Affairs, Jeddah, Saudi Arabia

Correspondence should be addressed to Haneen R. Banjar; as.ude.uak@rajnabrh and Enaam Alsobhi; moc.liamtoh@ihbosne

Received 1 September 2016; Revised 27 December 2016; Accepted 15 January 2017; Published 13 February 2017

Academic Editor: Haifa Al-Ali

Copyright © 2017 Haneen R. Banjar and Enaam Alsobhi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Inconsistency in prognostic scores occurs where two different risk categories are applied to the same chronic myeloid leukemia (CML) patient. This study evaluated common scoring systems for identifying risk groups based on patients’ molecular responses to select the best prognostic score when conflict prognoses are obtained from patient profiles. We analyzed 104 patients diagnosed with CML and treated at King Abdulaziz Medical City, Saudi Arabia, who were monitored for major molecular response (achieving a BCR-ABL1 transcript level equal to or less than 0.1%) by Real-Time Quantitative Polymerase Chain Reaction (RQ-PCR), and their risk profiles were identified using Sokal, Hasford, EUTOS, and ELTS scores based on the patients’ clinical and hematological parameters at diagnosis. Our results found that the Hasford score outperformed other scores in identifying risk categories for conflict groups, with an accuracy of 63%.