ReviewJournal of clinical medicine2024
Treatment-Free Remission in Chronic Myeloid Leukemia.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Review
- Patients' and healthcare providers' views regarding dose reduction of tyrosine kinase inhibitors in chronic myeloid leukemia: a qualitative study.The oncologist · 2026Article
- Evolving Therapeutic Algorithms in Chronic Myeloid Leukemia: Integrating Efficacy, Safety, and Survivorship.Biomedicines · 2026Review
- Review
- Advances in Targeting BCR-ABLMolecules (Basel, Switzerland) · 2026Review
- Treatment response and survival outcomes with BCR-ABL tyrosine kinase inhibitors in chronic myeloid leukemia: a retrospective study.Frontiers in medicine · 2026Article
- Real-World Evidence of Treatment-Free Remission Strategies and Outcomes in Chronic Myeloid Leukemia.Cancers · 2025Article
- Targeting DDX3X eliminates leukemia stem cells in chronic myeloid leukemia by blocking NT5DC2 mRNA translation.Oncogene · 2025Article
- Tyrosine Kinase Inhibitors as Risk Factors for Cerebral Vascular Disease: Report of Two Cases and Literature Review.Case reports in neurological medicine · 2025Article
- In-depth analysis for TKI-driven real-world management of 201 CML patients using TFR.Frontiers in pharmacology · 2025Article
- Molecular monitoring in CML-a modern example of an old proverb.Blood cancer journal · 2024Article
- Current Understanding of the Role of Autophagy in the Treatment of Myeloid Leukemia.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the discovery of tyrosine kinase inhibitors (TKIs), overall survival in patients with chronic myeloid leukemia (CML) now approaches that of the general population. While these TKIs have proven to be lifesaving, remaining on them lifelong creates both physical and financial burdens for patients. Recently, multiple trials have begun looking into the efficacy of trialing patients off these TKIs to see if they can sustain treatment-free remission (TFR). TFR eligibility is currently limited to a small population of patients with both robust and sustained responses to TKIs. Currently, for those who attempt a trial of TFR, the average success rates are promising, with anywhere from 38 to 54% of patients experiencing sustained TFR. For those who fail to maintain sustained TFR, safety results to date are reassuring, with almost all patients successfully responding to the re-initiation of TKIs, with death and disease progression being very rare complications. Moving forward, research is being conducted to more accurately risk stratify patients at diagnosis and pair them with optimized upfront treatment regimens aimed at increasing candidacy for the trial of TFR.
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What OpenQuestion holds
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.