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Record W4406484983 · doi:10.1007/s11523-024-01123-3

Bosutinib for the Treatment of CML—Using it Safely: a Podcast

2025· article· en· W4406484983 on OpenAlex
Jeffrey H. Lipton, Jörge E. Cortes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTargeted Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
FundersPfizer
KeywordsMedicineBosutinibOncologyBioinformaticsCancer researchDasatinibImatinib

Abstract

fetched live from OpenAlex

Bosutinib is a second-generation tyrosine kinase inhibitor (TKI) approved for use in patients with newly diagnosed Philadelphia chromosome (Ph)-positive chronic phase (CP) chronic myeloid leukemia (CML), as well as Ph-positive CP, accelerated phase, or blast phase (with chemotherapy) CML resistant or intolerant to prior therapy. Clinical trials have shown bosutinib is effective as first-line therapy for patients with CML as well as in later lines of therapy after prior TKI failure. Bosutinib has an established safety profile; however, as with all TKIs approved for the treatment of CML, there are adverse events (AEs) that require management. The safety profile of bosutinib is characterized by gastrointestinal, hematological, hepatic, and skin toxicities. Many of these AEs can be managed with dose adjustment strategies. In this podcast, the authors summarize data from some recent bosutinib publications and discuss implications for optimizing bosutinib treatment of patients with CML. Podcast Video (MP4 210846 KB).

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.384
Teacher spread0.333 · 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