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Record W2265688788 · doi:10.1188/13.cjon.e13-e20

Treating Chronic Myeloid Leukemia

2013· review· en· W2265688788 on OpenAlexaff
Cheryl-Anne Simoneau

Bibliographic record

VenueClinical journal of oncology nursing · 2013
Typereview
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsLeukemia & Lymphoma Society of Canada
Fundersnot available
KeywordsMedicineNilotinibBosutinibDasatinibPonatinibImatinibMyeloid leukemiaOncologyInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

The tremendous progress made in chronic myeloid leukemia (CML) treatment affords patients more options than ever. Five currently available BCR-ABL inhibitors form the mainstay of CML treatment, including first-generation imatinib and more potent second-generation BCR-ABL inhibitors dasatinib and nilotinib, with bosutinib and ponatinib having been recently approved for market inclusion. Studies show that dasatinib and nilotinib exhibit greater efficacy than imatinib in first-line chronic-phase CML (CML-CP), allowing more patients to achieve deeper, more rapid responses associated with improved outcomes. With alternatives to imatinib for first-line CML-CP and the wealth of information (and misinformation) on the Internet, a tremendous need exists for clear, accurate facts to assist patients in making treatment decisions. Patients appreciate the guidance of their oncology nurse in providing disease, treatment, and monitoring information tailored to meet their needs. Oncology nurses who are able to clearly explain emerging data, including the meaning and significance of faster, deeper responses, will be a valuable resource to their patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.146
GPT teacher head0.494
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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations16
Published2013
Admission routes1
Has abstractyes

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