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Record W2131222591 · doi:10.1158/1055-9965.epi-13-0943

Hormone Contraception before the First Birth and Endometrial Cancer Risk

2013· article· en· W2131222591 on OpenAlexafffundabout
Linda S. Cook, Yanhong Dong, Pamela J. Round, Xun Huang, Anthony M. Magliocco, Christine M. Friedenreich

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsAlberta Health Services
FundersCanadian Institutes of Health Research
KeywordsEndometrial cancerMedicinePregnancyGynecologyObstetricsCancerPopulationBreast cancerConfidence intervalInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

There is a well-documented reduction in endometrial cancer risk with combined oral contraceptive (COC) use. COC use before the first full-term pregnancy may affect breast cancer risk for decades, but this relationship has not been investigated in endometrial cancer. We investigated the risk for endometrial cancer with COC use before the first full-term pregnancy. Cases (n = 524) from a population-based cancer registry and age-matched controls (n = 1,032) were recruited between 2002 and 2006 in Alberta, Canada. Participants completed an in-person interview and provided detailed information on exogenous hormone use and other risk factors. Risk reductions in endometrial cancer with COC use over the premenopausal years were consistent with the published literature. We also found evidence of a long-term, significant risk reduction in parous women with COC use before the first full-term pregnancy. Among parous women, ≥5 years of COC use before a first full-term pregnancy was associated with a significant reduction in risk [adjusted OR, 0.42; 95% confidence interval (CI), 0.25-0.72], even if this exposure was a woman's only use of COCs (adjusted OR, 0.35; 95% CI, 0.18-0.68). Further understanding of the long-term effects of COC use may help guide the timing of chemoprevention efforts via COCs.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.034
GPT teacher head0.341
Teacher spread0.308 · 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 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

Citations12
Published2013
Admission routes3
Has abstractyes

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