Home LiteratureArticle Details
PMID: 17299097 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Prognostic nomogram and index for overall survival in previously untreated patients with chronic lymphocytic leukemia.

Blood ·Vol. 109 ·No. 11 ·2007-06-01 ·Pages 4679-85

Wierda WG, O'Brien S, Wang X, Faderl S, Ferrajoli A, Do KA, Cortes J, Thomas D, Garcia-Manero G, Koller C, Beran M, Giles F, Ravandi F, Lerner S, Kantarjian H, Keating M

Abstract

The clinical course for patients with chronic lymphocytic leukemia is extremely heterogeneous. The Rai and Binet staging systems have been used to risk-stratify patients; most patients present with early-stage disease. We evaluated a group of previously untreated patients with chronic lymphocytic leukemia (CLL) at initial presentation to University of Texas M. D. Anderson Cancer Center to identify independent characteristics that predict for overall survival. Clinical and routine laboratory characteristics for 1674 previously untreated patients who presented for evaluation of CLL from 1981 to 2004 were included. Univariate and multivariate analyses identified several patient characteristics at presentation that predicted for overall survival in previously untreated patients with CLL. A multivariate Cox proportional hazards model was developed, including the following independent characteristics: age, beta-2 microglobulin, absolute lymphocyte count, sex, Rai stage, and number of involved lymph node groups. Inclusion of patients from a single institution and the proportion of patients younger than 65 years may limit this model. A weighted prognostic model, or nomogram, predictive for overall survival was constructed using these 6 characteristics for 5- and 10-year survival probability and estimated median survival time. This prognostic model may help patients and clinicians in clinical decision making as well as in clinical research and clinical trial design.

MeSH Terms
Adolescent Adult Aged Aged, 80 and over Child Child, Preschool Data Interpretation, Statistical Female Humans Infant Infant, Newborn Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis,mortality Lymph Nodes/pathology Male Middle Aged Neoplasm Staging Nomograms Prognosis Proportional Hazards Models Treatment Outcome
Authors & Affiliations
16 authors, click to expand affiliations / ORCID
Wierda William G
Department of Leukemia, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. [email protected]
O'Brien Susan
Wang Xuemei
Faderl Stefan
Ferrajoli Alessandra
Do Kim-Anh
Cortes Jorge
Thomas Deborah
Garcia-Manero Guillermo
Koller Charles
Beran Miloslav
Giles Francis
Ravandi Farhad
Lerner Susan
Kantarjian Hagop
Keating Michael
Article Info
Journal
Blood
Abbr.
Blood
ISSN
0006-4971
Published
2007-06-01
Epub
2007-00-13
Pages
4679-85
Language
English
Region
United States
NLM ID
7603509
Subset
IM
Grants
NCI NIH HHS · P30 CA016672 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]