Treatment of menopausal vasomotor symptoms and sensory issues in a 53-year-old autistic woman – a case report
Bibliographic record
Abstract
Considered a taboo topic in many societies, menopause in autistic women is still under-recognised, and little research addresses its impact. Existing studies suggest that this often-difficult transition period is associated with numerous unmet health needs and a frustrating lack of knowledge and support from healthcare professionals. Menopausal vasomotor symptoms, the hallmark of menopause, can intensify and worsen sensory sensitivities in many autistic women. We present the case of a 53-year-old Caucasian autistic woman without intellectual disability or other current psychiatric comorbidities. The patient underwent gynaecologic and hormonal lab testing, and was introduced to hormone replacement therapy to ameliorate symptoms of oestradiol and progesterone deficiency. Menopausal vasomotor symptoms experienced by the patient were monitored over a period of seven months following the implementation of hormone replacement therapy and non-pharmacologic approaches. Hormone replacement therapy decreased menopausal vasomotor symptoms, but not all her initial complains. Strong sensory issues were linked to more severe menopausal vasomotor symptoms. This case highlights the need for further research and the development of the global Extension for Community Health Outcomes (ECHO) Autism® model to advance medical care offered to autistic women during menopause.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".