Evidence map›Paper›PMID 19474800›Full record

ReviewLeukemia2009

Class effects of tyrosine kinase inhibitors in the treatment of chronic myeloid leukemia.

F J Giles, M O'Dwyer, R Swords

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Review
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  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Targeting BCR-ABL1-positive leukaemias: a review article.Cambridge prisms. Precision medicine · 2023
    Review
  13. Molecular targeted therapy for anticancer treatment.Experimental & molecular medicine · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Effects of Glycyrrhetic Acid on Human Chronic Myelogenous Leukemia Cells.Turkish journal of pharmaceutical sciences · 2020
    Article
  20. Article
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.

F J GilesInstitute for Drug Development, Cancer Therapy and Research Center at the University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA. frankgiles@aol.com
M O'Dwyer
R Swords

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors have revolutionized the treatment of chronic myeloid leukemia (CML), offering patients several targeted therapeutic options that provide the possibility of sustained remissions and prolonged survival. With the availability of imatinib, nilotinib and dasatinib, physicians must weigh the efficacy and safety profile of each agent when choosing the best therapeutic option for individual patients. Each agent targets tyrosine kinases within the cell uniquely to cause the desired antiproliferative effect. In addition to inhibiting the BCR-ABL kinase, imatinib and nilotinib target the same array of other tyrosine kinases, including c-KIT and platelet-derived growth factor receptor (PDGFR), albeit with differing potencies. While targeting BCR-ABL with the highest potency among approved agents in CML, dasatinib also targets a broad array of off-target kinases, including SRC family members, PDGFR and EPHB4. The differences in kinase inhibition profiles among these agents in vitro probably account for the differing clinical safety profiles of these agents. This paper reviews the various kinases inhibited by imatinib, nilotinib and dasatinib, and describes the potential impact of kinase inhibition on the efficacy and safety of each agent.

Indexed as

HumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveProtein Kinase InhibitorsProtein Kinase Inhibitors

Identifiers

PMID19474800

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.