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Record W2040234260 · doi:10.1517/14656566.8.14.2329

Update on the use of letrozole in breast cancer

2007· review· en· W2040234260 on OpenAlexaff
Melinda Wu, Paul E. Goss

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLetrozoleMedicineTamoxifenBreast cancerOncologyAdjuvantInternal medicineAromatase inhibitorAromataseAnastrozoleAdjuvant therapyClinical trialGynecologyCancer

Abstract

fetched live from OpenAlex

Endocrine therapy is the mainstay of adjuvant treatment for hormonereceptor-positive early breast cancer. Letrozole is a potent third-generation aromatase inhibitor that suppresses plasma estrogen levels to near-undetectable levels in postmenopausal women. The results of well-controlled clinical trials have demonstrated the efficacy of letrozole over the gold-standard treatment, tamoxifen, in the neoadjuvant and upfront adjuvant settings and over placebo in the extended adjuvant setting (i.e., following 5 years of adjuvant tamoxifen). Important benefits in disease-free survival and especially distant disease-free survival have been demonstrated, in both low- and high-risk subgroups of patients (e.g., node-positive disease, prior chemotherapy). Both the efficacy and safety of letrozole for the adjuvant treatment of breast cancer are reviewed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.005

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 head0.105
GPT teacher head0.421
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2007
Admission routes1
Has abstractyes

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