Efficacy and Safety of a Combined Oral Contraceptive Containing Estradiol Valerate/Dienogest: Results from a Clinical Study Conducted in North America
Bibliographic record
Abstract
BACKGROUND: This study investigated the efficacy and safety of a combined oral contraceptive (COC) containing estradiol valerate/dienogest (E2V/DNG). METHODS: This was a multicenter, noncomparative, 13-cycle (extended to 28 cycles) study conducted in the United States and Canada. Contraceptive efficacy was calculated as a Pearl Index for 13 cycles, based on all on-treatment pregnancies; bleeding patterns were calculated based on bleeding and spotting information recorded daily in diary cards. Safety events during a 16-month extension study were added to the 1-year data. RESULTS: In total, 499 women, aged 18-35 years, were enrolled, and 490 of them were included in the full analysis set for contraceptive efficacy. Five pregnancies occurred in the first year (unadjusted Pearl Index=1.64). In cycles 1-12, an average 23.5% of women had absent scheduled (withdrawal) bleeding. Among women with scheduled (withdrawal) bleeding, bleeding started after a median of 2 days after intake of the last DNG-containing pill. For safety, data included from 147 women followed over an additional 16 months were added to the original 13-cycle data set. Treatment-related adverse events (AEs) occurred in 51.8% of women; 14.9% discontinued because of AEs over the entire 28-month study period. CONCLUSION: A COC with E2V and DNG was shown to provide effective contraception in women aged 18-35 years in North America.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".