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Record W2148274830 · doi:10.1177/1078155213520261

Medication adherence among adults prescribed imatinib, dasatinib, or nilotinib for the treatment of chronic myeloid leukemia

2014· article· en· W2148274830 on OpenAlexaff
K. Anderson, Carole Chambers, Nadine Lam, Patrick Yau, Frances Cusano, Mary Lynn Savoie, Naureen Sheikh

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2014
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsOccupational Cancer Research CentreFoothills Medical Centre
Fundersnot available
KeywordsNilotinibMedicineDasatinibMyeloid leukemiaImatinibChronic myeloid leukaemiaTyrosine-kinase inhibitorInternal medicineImatinib mesylatePharmacologyOncologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Oral tyrosine kinase inhibitors are the standard of care for chronic myeloid leukemia. Tyrosine kinase inhibitors are administered in an outpatient setting for an indefinite period which may negatively impact adherence. Non-adherence to tyrosine kinase inhibitors is associated with disease progression. OBJECTIVES: To evaluate the need for adherence-enhancing interventions, this study was designed to determine the proportion of chronic myeloid leukemia patients non-adherent to their tyrosine kinase inhibitor regimen. The secondary objective was to identify the influence of patient characteristics on tyrosine kinase inhibitor adherence. METHODS: Cross-sectional retrospective chart and dispensing record reviews were performed to identify patients receiving a tyrosine kinase inhibitor from 1 June 2010 to 31 January 2012. Adherence was evaluated using the medication possession ratio. RESULTS: A total of 124 patients were included. Thirty-eight (31%) patients were non-adherent to their tyrosine kinase inhibitor regimen. Patients not receiving concurrent medications were more likely to be non-adherent (odds ratio (OR) 2.33, 95% confidence interval (CI) 1.05-5.13, p=0.04). The median medication possession ratio was 0.95 (IQR=0.83-1.07). Median medication possession ratio was lower in patients receiving imatinib compared to dasatinib or nilotinib (0.95 vs. 1.00, p=0.01) and in those less than 50 years old compared to those greater than 50 years old (0.92 vs. 0.97, p=0.02). CONCLUSIONS: Optimal tyrosine kinase inhibitor adherence in chronic myeloid leukemia patients poses a significant obstacle in achieving best possible outcomes while reducing healthcare costs. In this study, one in three chronic myeloid leukemia patients treated with a tyrosine kinase inhibitor were non-adherent to their regimen. Those at higher risk of non-adherence were on no concurrent medications, less than 50 years old, and those treated with imatinib. Active intervention to improve tyrosine kinase inhibitor adherence should be developed, implemented, and evaluated to improve patient outcomes at our center.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.057
GPT teacher head0.405
Teacher spread0.348 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations44
Published2014
Admission routes1
Has abstractyes

Explore more

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