Evidence map›Paper›PMID 39644006›Full record

ReviewHematology. American Society of Hematology. Education Program2024

Risk-stratification in frontline CLL therapy: standard of care.

Eugen Tausch, Christof Schneider, Stephan Stilgenbauer

Abstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Eugen TauschComprehensive Cancer Center Ulm and Division of CLL-Internal Medicine III, Ulm University, Germany.
Christof SchneiderComprehensive Cancer Center Ulm and Division of CLL-Internal Medicine III, Ulm University, Germany.
Stephan StilgenbauerComprehensive Cancer Center Ulm and Division of CLL-Internal Medicine III, Ulm University, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of chronic lymphocytic leukemia (CLL) has been transformed over the past decade based on a better understanding of disease biology, especially regarding molecular genetic drivers and relevant signaling pathways. Agents focusing on B-cell receptor (in particular Bruton tyrosine kinase [BTK]) and apoptosis (BCL2) targets have replaced chemoimmunotherapy (CIT) as the treatment standard. BTK and BCL2 inhibitor-based therapy has consistently shown prolonged progression-free survival and in some instances even increased overall survival against CIT in frontline phase 3 trials. This improvement is particularly pronounced in high-risk CLL subgroups defined by unmutated IGHV, deletion 17p (17p-), and/or the mutation of TP53, making CIT in these subgroups essentially obsolete. Despite remarkable advances, these markers also retain a differential prognostic and predictive impact in the context of targeted therapies, mandating risk-stratification in frontline management. Furthermore, BTK- and BCL2-targeting agents differ in their adverse event profiles, requiring adjustment of treatment choice based on patient characteristics such as coexisting conditions, comedications, and delivery-of-care aspects.

Indexed as

Agammaglobulinaemia Tyrosine KinaseLeukemia, Lymphocytic, Chronic, B-CellProto-Oncogene Proteins c-bcl-2Standard of CareChromosome DeletionChromosomes, Human, Pair 17HumansImmunotherapyRisk AssessmentTumor Suppressor Protein p53Agammaglobulinaemia Tyrosine KinaseBCL2 protein, humanBTK protein, humanProto-Oncogene Proteins c-bcl-2Tumor Suppressor Protein p53

Identifiers

PMID39644006
PMCPMC11665600

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.