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Record W2161327328 · doi:10.1586/14737140.2.3.249

Letrozole for the management of breast cancer

2002· review· en· W2161327328 on OpenAlexaff
Paul E. Goss, Robert E. Smith

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsLetrozoleMedicineTamoxifenBreast cancerAromataseAromatase inhibitorOncologyInternal medicineAdjuvantAnastrozoleEstrogen receptorAntiestrogenCancerGynecology

Abstract

fetched live from OpenAlex

Letrozole, a third-generation aromatase inhibitor, has been the only aromatase inhibitor to date to show unequivocal superiority to tamoxifen as first-line treatment of metastatic postmenopausal breast cancer. The superiority of letrozole compared with tamoxifen was also reflected in the neoadjuvant setting, in both estrogen receptor-positive and estrogen receptor-unknown patients with differing HER-2 status. Currently, studies are being performed in the adjuvant setting, which will provide important data on the long-term safety of letrozole and help determine its suitability as a chemopreventive agent in healthy women at risk of developing breast cancer. Nevertheless, the superior clinical efficacy and survival data of letrozole suggest that it has the potential to displace tamoxifen as the gold standard in breast cancer treatment in the coming years.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.943
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.028
GPT teacher head0.373
Teacher spread0.346 · 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 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

Citations8
Published2002
Admission routes1
Has abstractyes

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