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

  • William G. Wierda(corresponding author)
    ,
  • Susan O'Brien
    ,
  • Xuemei Wang
    ,
  • Stefan Faderl
    ,
  • Alessandra Ferrajoli
    ,
  • Kim Anh Do
*Corresponding author for this work
  • University of Texas Health Science Center at Houston
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

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, β-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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 4679-4685 (7 pages)

Journal (Volume, Issue Number)

Blood (Volume 109, Issue 11)

Publication milestones

  • Published - 06/01/2007

Publication status

Published - 06/01/2007

ISSN

0006-4971

Publication IDs

  • Scopus: 34249733155
  • PubMed: 17299097
  • ORCID: /0000-0002-8636-1071/work/68888042

Publication metrics

Metrics

Fractional count
1
Fractional count
0.06
Fractional count
15
Fractional count
0.94
Fractional count
1
Fractional count
1
SciVal
FWCI
3.89
SciVal
Author count
16
SciVal
citations
251
SciVal
Paper percentile
99
SciVal
Top percentile
1
Scopus
citations

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Citation count
314
Captures
153

Funding Details

FunderFunding number
NCI
P30CA016672