Managing the risks of mood symptoms with LNG-IUS: a clinical perspective
Bibliographic record
Abstract
INTRODUCTION: Lack of awareness of reproductive hormone-related mood changes in the general population or limited acknowledgement of their existence by health care providers regularly contribute to fears or misconceptions about the link between hormonal contraception and potential mood changes. Recent media discussion linked the levonorgestrel intrauterine system (LNG-IUS 20 µg/d) to elevated cortisol levels and the possibility of panic attacks, anxiety, mood changes, sleep disturbance and restlessness. Efficacy of the LNG-IUS is based primarily on local effects but systemic effects, including a potential increase in mood symptoms, are a known risk and reflected in the product labelling for all LNG-IUS products. OBJECTIVE: There is a need to improve communication to the public and health care providers around potential risk of mood disorders in order to facilitate 'informed choice' amongst women considering an LNG-IUS as their contraceptive method and directly address the fears of women currently using an LNG-IUS. RESULTS: We propose a simple and brief, step-by-step process that can be embedded within current counselling that explores and clarifies the potential risk of developing mood symptoms prior to placement of LNG-IUS. It also addresses concerns from women using an LNG-IUS who either present with mood symptoms or are concerned about potential onset. CONCLUSION: Mood symptoms with use of LNG-IUS are uncommon; however, all women, including those who may experience an increased sensitivity to certain progestins, should be counselled appropriately to raise awareness of the potential risk within an informed discussion around effectiveness, benefits and possible adverse events.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".