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Record W2141480973 · doi:10.1093/jnci/96.5.347

Canadian Society Takes Position on Long-Term Hormone Therapy

2004· article· en· W2141480973 on OpenAlexaboutno aff
Marshall S. Smith

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2004
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Hormone therapyPosition (finance)MedicineInternal medicineEconomicsPhysics

Abstract

fetched live from OpenAlex

The Canadian Cancer Society is urging women to avoid combined hormone replacement therapy (HRT) using estrogen plus progestin, except in cases where severe menopausal symptoms do not respond to other treatments, because, among other things, it increases breast cancer risk. The society is the first to take such a clear position, according to Heather Logan, director of cancer control policy for the Canadian Cancer Society. The group’s position drew immediate fire from Canada’s obstetricians and gynecologists, whose professional society countered that combined HRT remains safe when properly used. And the Society of Obstetricians and Gynecologists of Canada (SOGC) also took the cancer society to task for adding to the “confusion and fear surrounding the use of HRT.” The cancer society’s new position is based in large measure on the landmark Women’s Health Initiative (WHI) study of estrogen/progestin therapy (see News, Aug. 7, 2002, “The End of an Era? Study Reveals Harms of Hormone Replacement Therapy,” Vol. 94, No. 15, p. 1116), although “eight or nine” other studies were also taken into account, Logan said. The recommendation does not apply to women taking estrogen alone.

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)0.003
metaresearch head score (Gemma)0.008
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.241
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0100.003
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0130.009
Insufficient payload (model declined to judge)0.0720.010

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 head0.099
GPT teacher head0.380
Teacher spread0.282 · 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
GenreCommentary

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

Citations0
Published2004
Admission routes1
Has abstractno

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