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Record W4408310298 · doi:10.1038/s41408-025-01242-8

Switching TKIs during CML therapy is frequent, mostly driven by intolerance, and does not affect survival: a prospective Quebec registry study

2025· letter· en· W4408310298 on OpenAlexaffabout
Lambert Busque, Marc-Étienne Beaudet, Michaël Harnois, Hanane Moussa, Natasha Szuber, Luigina Mollica, Robert Delage, Harold J. Olney, Pierre Laneuville, Ghislain Cournoyer, Inès Chamakhi, Marc Lalancette, Danielle Talbot, Vincent Éthier, Sarit Assouline

Bibliographic record

VenueBlood Cancer Journal · 2025
Typeletter
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsJewish General HospitalCentre Hospitalier Universitaire de SherbrookeHôpital Charles-Le MoyneUniversité de SherbrookeHôpital du Sacré-Cœur de MontréalMcGill University Health CentreMcGill UniversityUniversité LavalCentre Hospitalier de l’Université de MontréalThe Quebec Population Health Research NetworkUniversité du Québec à MontréalUniversité du QuébecCentre hospitalier universitaire de QuébecUniversité de MontréalInstitut universitaire en santé mentale de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsAffect (linguistics)MedicineIntensive care medicineProspective cohort studyFamily medicineInternal medicinePsychology

Abstract

fetched live from OpenAlex

Tyrosine kinase inhibitors (TKI) targeting the BCR::ABL1 fusion gene have dramatically improved the prognosis of patients with chronic myeloid leukemia (CML) to the point where most patients can enjoy a normal life expectancy [ 1 ]. Outside of clinical trials, the use of different TKIs in 1 L is largely influenced by drug accessibility, toxicity profile [ 2 ], and treatment-free remission (TFR) as the therapeutic goal [ 3 ]. However, there is a paucity of information on how therapeutic choices are made in the real-world (RW) setting, and on how resistance and tolerance drive switching compared to published clinical trials [ 4 ]. This study aimed to document treatment patterns and outcomes from a large provincial CML registry that includes 20 oncology centers, comprising both academic and community-based hospitals, reflecting a broad general treatment population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.291
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2025
Admission routes2
Has abstractyes

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Same venueBlood Cancer JournalSame topicChronic Myeloid Leukemia TreatmentsFrench-language works237,207