Evidence map›Paper›PMID 24797299›Full record

ArticleBlood2014

Development of a comprehensive prognostic index for patients with chronic lymphocytic leukemia.

Natali Pflug, Jasmin Bahlo, Tait D Shanafelt, Barbara F Eichhorst, Manuela A Bergmann, Thomas Elter, Kathrin Bauer, Gebhart Malchau, Kari G Rabe, Stephan Stilgenbauer and 10 more

3 registry-linked trialsAbstract read
In one paragraph

Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 110 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00262782 phase3completednot on this map

Prognostic Factors and Risk-Adapted Therapy in Patients With Early Stage Chronic Lymphocytic Leukemia

TypeinterventionalSponsorGerman CLL Study GroupRan1997 to 2010Enrolled877ConditionsChronic Lymphocytic LeukemiaArmsFludarabine
NCT00281918 phase3completednot on this map

Phase III Trial of Combined Immunochemotherapy With Fludarabine, Cyclophosphamide and Rituximab (FCR) Versus Chemotherapy With Fludarabine and Cyclophosphamide (FC) Alone in Patients With Previously Untreated Chronic Lymphocytic Leukaemia

TypeinterventionalSponsorHoffmann-La RocheRan2003 to 2011Enrolled817ConditionsLeukemiaArmsRituximab, Cyclophosphamide, Fludarabine Phosphate
NCT04178798 phase3completednot on this mapstarted 2019, after this paper: background citation

Phase III Randomized Study to Investigate the Use of Acalabrutinib in the Treatment of Patients With Early Stage CLL With High Risk of Early Disease Progression

TypeinterventionalSponsorPETHEMA FoundationRan2019 to 2024Enrolled22ConditionsChronic Lymphocytic Leukemia- Binet Staging SystemArmsAcalabrutinib 100 MG Oral Capsule
3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Guideline
  6. Guideline
  7. Pooled it
  8. Chronic lymphocytic leukemia/small lymphocytic lymphoma, version 1.2015.Journal of the National Comprehensive Cancer Network : JNCCN · 2015
    Guideline
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Refined Continuous Risk Index for Accurately Predicting Outcomes of Patients With Chronic Lymphocytic Leukemia After Limited-Duration Therapy.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  15. Review
  16. Observational
  17. IGLV3-21HemaSphere · 2026
    Article
  18. Article
  19. Review
  20. Article

50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Natali PflugDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Jasmin BahloDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Tait D ShanafeltDepartment of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN;
Barbara F EichhorstDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Manuela A BergmannDepartment I of Internal Medicine, Hospital München-Schwabing, Munich, Germany;
Thomas ElterDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Kathrin BauerCochrane Hematological Malignancies Group, University of Cologne, Cologne, Germany;
Gebhart MalchauInstitute of Clinical Chemistry, University Hospital of Cologne, Cologne, Germany;
Kari G RabeDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN;
Stephan StilgenbauerDepartment of Internal Medicine III, Ulm University, Ulm, Germany;
Hartmut DöhnerDepartment of Internal Medicine III, Ulm University, Ulm, Germany;
Ulrich JägerDepartment of Internal Medicine I, Division of Hematology and Haemostaseology and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria;
Michael J EckartHämatologische und Onkologische Schwerpunktpraxis, Erlangen, Germany;
Georg HopfingerDepartment III of Internal Medicine, University Hospital of Salzburg, Salzburg, Austria; and.
Raymonde BuschInstitute for Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany.
Anna-Maria FinkDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Clemens-Martin WendtnerDepartment I of Internal Medicine, Hospital München-Schwabing, Munich, Germany;
Kirsten FischerDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;
Neil E KayDepartment of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN;
Michael HallekDepartment I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University of Cologne, Cologne, Germany;

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

In addition to clinical staging, a number of biomarkers predicting overall survival (OS) have been identified in chronic lymphocytic leukemia (CLL). The multiplicity of markers, limited information on their independent prognostic value, and a lack of understanding of how to interpret discordant markers are major barriers to use in routine clinical practice. We therefore performed an analysis of 23 prognostic markers based on prospectively collected data from 1948 CLL patients participating in phase 3 trials of the German CLL Study Group to develop a comprehensive prognostic index. A multivariable Cox regression model identified 8 independent predictors of OS: sex, age, ECOG status, del(17p), del(11q), IGHV mutation status, serum β2-microglobulin, and serum thymidine kinase. Using a weighted grading system, a prognostic index was derived that separated 4 risk categories with 5-year OS ranging from 18.7% to 95.2% and having a C-statistic of 0.75. The index stratified OS within all analyzed subgroups, including all Rai/Binet stages. The validity of the index was externally confirmed in a series of 676 newly diagnosed CLL patients from Mayo Clinic. Using this multistep process including external validation, we developed a comprehensive prognostic index with high discriminatory power and prognostic significance on the individual patient level. The studies were registered as follows: CLL1 trial (NCT00262782, http://clinicaltrials.gov), CLL4 trial (ISRCTN 75653261, http://www.controlled-trials.com), and CLL8 trial (NCT00281918, http://clinicaltrials.gov).

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorClinical Trials, Phase III as TopicFemaleHumansKaplan-Meier EstimateLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedPrognosisProportional Hazards ModelsRandomized Controlled Trials as TopicBiomarkers, Tumor

Identifiers

PMID24797299
PMCPMC4260976

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.