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Record W2915328041 · doi:10.1200/jco.18.02433

Adjuvant Systemic Treatment of Premenopausal Women With Hormone Receptor–Positive Early Breast Cancer: Lights and Shadows

2019· article· en· W2915328041 on OpenAlexaff
Meredith M. Regan, Gini F. Fleming, Barbara Walley, Prudence A. Francis, Olivia Pagani

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of Calgary
FundersNational Cancer InstituteIpsenPfizerBreast Cancer Research Foundation
KeywordsMedicineAdjuvantBreast cancerOncologyHormone receptorInternal medicineCancerSystemic therapyHormoneGynecology

Abstract

fetched live from OpenAlex

Research has shown premenopausal women with hormone receptor–positive (HR+) early breast cancer who experience chemotherapy-induced amenorrhea (CIA) have reduced risk of recurrence compared with those who have no CIA, whether treated with adjuvant chemotherapy alone or followed by tamoxifen. Younger premenopausal women, in particular those younger than 35 years, are less likely to experience CIA and have increased risk of recurrence. The Suppression of Ovarian Function Trial (SOFT) tested whether women with HR+ breast cancer who remained premenopausal after chemotherapy, and those never receiving chemotherapy, benefit from adding ovarian function suppression (OFS) to 5 years of tamoxifen treatment, or from use of the aromatase inhibitor (AI) exemestane with OFS. The companion Tamoxifen and Exemestane Trial (TEXT) tested the benefit of exemestane versus tamoxifen for women receiving adjuvant OFS, with or without chemotherapy.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.339
Teacher spread0.318 · 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 designObservational
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

Citations30
Published2019
Admission routes1
Has abstractyes

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