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Record W4413137955 · doi:10.1016/j.jaccao.2025.06.007

Cardiovascular Disease in Patients With Chronic Myeloid Leukemia

2025· article· fi· W4413137955 on OpenAlex
Nazanin Aghel, Jeffrey H. Lipton

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

VenueJACC CardioOncology · 2025
Typearticle
Languagefi
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMyeloid leukemiaDiseaseMedicineCancer researchInternal medicine

Abstract

fetched live from OpenAlex

Cardiovascular (CV) disease and risk factors are notably prevalent among patients with chronic myeloid leukemia (CML). The introduction of BCR::ABL1 tyrosine kinase inhibitors has significantly transformed the treatment paradigm for CML. However, it is imperative to recognize that these therapeutic agents may lead to CV side effects. For instance, dasatinib has been associated with the development of pulmonary arterial hypertension, while nilotinib and ponatinib have been linked to various vascular complications. To accurately evaluate the incidence of CV events associated with CML treatment, systematic documentation of these occurrences in future clinical trials is essential. This approach will facilitate a deeper understanding of the CV implications of tyrosine kinase inhibitor therapy in patients with CML.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.008
GPT teacher head0.237
Teacher spread0.230 · 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