A review of menstrual sex education and management in women with congenital adrenal hyperplasia
Bibliographic record
Abstract
Congenital adrenal hyperplasia (CAH) encompasses a range of autosomal recessive inherited enzyme deficiencies that impact cortisol biosynthesis pathways. Although reported as a rare and lifelong disorder, it holds chronic health risks for individuals that can influence menstruation. The purpose of this environmental scan and integrative literature review was to identify health information pertinent to CAH and menstruation in order to inform health providers, increase patient education, and promote menstrual wellbeing. Analysis identified that while information about menses is reported, information about menstrual irregularities and their management in adolescents and women with CAH is uncertain. Furthermore, there is insufficient good quality research and knowledge on CAH and menstruation to inform health providers in their practice with this population. The need for individuals with CAH to access evidence-informed information is constrained by the state of current understanding and limitations in knowledge translation. The importance of having trustworthy and safe spaces in which to ask questions and draw on ethically sound, language appropriate, and evidence-informed material is paramount in supporting women’s confidence and wellbeing across their lifetime. We encourage the building of stronger relationships between researchers, health providers, support groups and individuals to improve knowledge translation and dissemination regarding CAH and menstruation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".