Insertion experience of women and health care professionals in the Kyleena<sup>® </sup>Satisfaction Study
Bibliographic record
Abstract
Purpose: The Kyleena® Satisfaction Study (KYSS) is a prospective, observational study conducted to assess satisfaction with LNG-IUS 12 (Kyleena®) in clinical practice and aims to provide adequate information for counselling women on what to expect regarding insertion and satisfaction.Materials and methods: Women deciding to use LNG-IUS 12 during routine counselling were informed of the study and provided informed consent. A baseline analysis was conducted to evaluate demographics, ease of insertion assessed by investigators, pain at insertion rated by women, additional interventions for insertion, and adverse events.Results: 1,110 women (536 parous, 574 nulliparous) had an insertion attempt and were included. Insertion was rated as easy in 494 (92.2%) parous and 516 (89.9%) nulliparous women. Pain was assessed as none or mild by 475 (88.6%) parous and 387 (67.4%) nulliparous women. Additional interventions were not required for most insertions (705; 63.6%). Overall 111 (10.0%) women reported adverse events at the time of baseline analysis.Conclusions: This analysis demonstrates that LNG-IUS 12 insertion is easy and associated with no or mild pain in most women. Additional interventions for insertion are not required in most cases. After 3 months, the number of adverse events is low.Implications: The present baseline analysis of the Kyleena® Satisfaction Study (KYSS) demonstrates that most women rate insertion pain of LNG-IUS 12 as none or mild and clinicians consider insertion easy in the majority of cases.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".