Evidence map›Paper›PMID 40761712›Full record

ReviewClinical pharmacology : advances and applications2025

Dose Optimization of Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia.

Jiali Chen, Yidan Zhu, Yinyu Zhao, Nan Guo, Yuxuan Yao, Xingxian Luo, Lin Huang

Abstract readReview
In one paragraph

Review in Clinical pharmacology : advances and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jiali ChenDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Yidan ZhuDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Yinyu ZhaoDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Nan GuoDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Yuxuan YaoDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Xingxian LuoDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.
Lin HuangDepartment of Pharmacy, Peking University People's Hospital, Beijing, People's Republic of China.ORCID 0000-0003-3264-1374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of newer treatments such as new molecular targeted agents and immunotherapies, the model that selects therapeutic doses on the basis of the maximum tolerated dose is no longer relevant. The emergence of tyrosine kinase inhibitor (TKI) therapy has changed the treatment prospects for chronic myeloid leukemia (CML) and prolonged the long-term survival of CML patients. However, long-term exposure to TKIs is accompanied by adverse events, which may lead to disease progression and even death. It can also increase economic pressure on patients and affect their health-related quality of life. In general, dose reduction is feasible and safe for most patients and can reduce the incidence of adverse events while ensuring efficacy, reduce the financial burden on patients and society, improve the quality of life of patients, and also as a prelude to an attempt at treatment-free remission (TFR). This review will classify the dose optimization of all approved TKIs (imatinib, dasatinib, nilotinib, bosutinib, ponatinib, asciminib, radotinib) at different stages of treatment based on clinical trials and real-life studies, including dose optimization prior to attempting TFR. In addition, we briefly describe the application of therapeutic drug monitoring in dose optimization and the potential benefits of dose optimization on health-related quality of life.

Indexed as

chronic myeloid leukemiadose optimizationtherapeutic drug monitoringtyrosine kinase inhibitor

Identifiers

PMID40761712
PMCPMC12320135

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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.