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Record W2334446796 · doi:10.1097/spc.0000000000000026

Primary endocrine therapy as an approach for patients with localized breast cancer deemed not to be surgical candidates

2013· review· en· W2334446796 on OpenAlexaff
John Hilton, Angel Arnaout, Mark Clemons

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineTamoxifenBreast cancerEndocrine systemOncologyPopulationHormone therapyDiseaseInternal medicineChemotherapyCancerGynecologyIntensive care medicineHormone

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: For women diagnosed with localized hormone-receptor-positive breast cancer who have a poor performance status or who have medical conditions precluding aggressive treatment with chemotherapy or surgery, primary endocrine therapy has been proposed as a therapeutic alternative. Given that society is rapidly aging overall, this subset of patients will likely become a greater proportion of the patient population seen by breast cancer specialists. RECENT FINDINGS: On the basis of the results from randomized trials in patients whose health does not permit surgery, it appears that tamoxifen achieves a similar overall survival compared with surgery plus tamoxifen, supporting the use of primary endocrine therapy. In the neoadjuvant setting, aromatase inhibitors appear superior to tamoxifen, suggesting that these agents may be the best choice in the primary endocrine therapy setting. In addition, new breakthroughs for the management of hormone-receptor-positive disease in the metastatic setting have recently been reported. SUMMARY: This review will discuss the rationale and evidence for primary endocrine therapy; which agents could be selected for use; and how recent advances for the management of hormone-receptor-positive disease may potentially apply to this population.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.076
GPT teacher head0.405
Teacher spread0.329 · 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.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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