Evidence map›Paper›PMID 33782818›Full record

ReviewInternational journal of hematology2021

Current status and novel strategy of CML.

Kiyomi Morita, Koji Sasaki

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2021. 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. Review
  2. Review
  3. Article
  4. Review
  5. Targeted therapy for osteosarcoma: a review.Journal of cancer research and clinical oncology · 2023
    Review
  6. Review
  7. Article
  8. Review
  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

2 authors.

Kiyomi MoritaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 428, Houston, TX, 77030, USA.
Koji SasakiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 428, Houston, TX, 77030, USA. ksasaki1@mdanderson.org.ORCID http://orcid.org/0000-0002-9140-0610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of tyrosine kinase inhibitors (TKIs) has dramatically improved the outcome of patients with chronic myeloid leukemia (CML). Currently, four TKIs are available for the frontline treatment, including the first-generation TKI (imatinib) and the second-generation TKIs (dasatinib, nilotinib, and bosutinib). The second-generation TKIs lead to a faster and deeper molecular response without a survival benefit compared with imatinib. However, the opportunity for the treatment discontinuation and functional cure requires the achievement of durable deep molecular remission. Therefore, the second-generation TKIs should be considered as initial therapy for chronic-phase CML. Switch of therapy is warranted in case of treatment failure, including resistance and/or intolerance. The life expectancy of patients with CML is approaching that of the general population. Given an expected lifespan, future perspectives should consider the strategy for the optimal choice of TKIs, allowing for long-duration of effective TKI therapy with less toxicity to aim for a functional cure. A novel prediction approach such as artificial intelligence-driven analysis on the accumulated data from clinical trials paves a promising path for the personalized recommendation on frontline TKIs and precise survival prediction.

Indexed as

Stem Cell TransplantationAniline CompoundsAnimalsAntineoplastic AgentsArtificial IntelligenceDasatinibDisease ManagementHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveNitrilesProtein Kinase InhibitorsPyrimidinesQuinolinesTransplantation, HomologousAniline CompoundsAntineoplastic AgentsbosutinibDasatinibImatinib MesylatenilotinibNitrilesProtein Kinase InhibitorsPyrimidinesQuinolinesArtificial intelligenceChronic myeloid leukemiaTyrosine kinase inhibitor

Identifiers

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.