Satisfaction With Levonorgestrel-Releasing Intrauterine System 12 in North American Women: Findings From the Real-World Kyleena Satisfaction Study [A14]
Bibliographic record
Abstract
INTRODUCTION: The real-world Kyleena Satisfaction Study (KYSS) confirmed clinical findings that the levonorgestrel-releasing intrauterine system (LNG-IUS) 12 (Kyleena) is associated with high satisfaction and continuation rates. We report results from North American KYSS participants. METHODS: This observational, multinational, multicenter, single-arm cohort study was conducted from 2017 to 2018. All centers obtained institutional review board approval. Women who independently elected to use LNG-IUS 12 were enrolled. KYSS assessed LNG-IUS 12 satisfaction, continuation, and safety. RESULTS: LNG-IUS 12 was successfully placed in 99/99 Canadian and 99/100 US women. Clinicians rated placement “easy” in 88 (89%) Canadian and 90 (90%) US women. Sixty-seven (67) (68%) Canadian and 72 (72%) US women rated placement pain as none/mild. For Canadian women, mean age was 24.2±7.0 years and 87/99 (88%) were nulliparous, compared with 26.4±7.3 years and 71/99 (72%) for US women. Motivations for choosing LNG-IUS 12 were most commonly “no need for a contraceptive routine” (31/99 [31%] Canadian and 49/99 [50%] US women) and “high contraceptive reliability” (34/99 [34%] and 23/99 [23%], respectively). At 12 months/premature discontinuation, 69/75 (92%) Canadian and 83/89 (93%) US women reported being very/somewhat satisfied with LNG-IUS 12; 49/74 (66%) Canadian and 64/80 (80%) US women were satisfied with their menstrual bleeding profile. The 12-month continuation rate was 74% (73/99) for Canadian and 82% (82/100) for US women. Most discontinuations were due to loss to follow-up (16/99 [16%] and 7/100 [7%], respectively) or treatment-emergent adverse events (10/99 [10%] and 8/100 [8%], respectively). CONCLUSION: Results from North American KYSS participants demonstrate high satisfaction and continuation including among young and nulliparous women.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".