Impact of hormonal replacement therapy on menopausal women with psychosis: A literature review
Bibliographic record
Abstract
IntroductionRecent literature has explored the use of hormone replacement therapy (HRT) in menopausal women experiencing psychosis. Menopause women with previous psychotic events in their lifetime experience psychotic symptoms at later peak due to the low estrogen production in their bodies, known as menopause-associated psychosis, which can potentially be improved with the help of HRT. This review aims to discuss the effects of HRT on menopausal women with psychosis by comparing studies with combination of antipsychotic drugs.MethodsA literature review using Ovid Medline search was used.ResultsThese results indicate that HRT may have a positive impact on mood and cognition to decrease the expression of psychotic signs. Some estrogen-derived treatments, such as SERM (selective estrogen receptor modulator), might also improve the impact of the antipsychotics, giving the possibility of dosage reduction and fewer side effects.ConclusionSince the management of psychosis is challenging in menopausal women due to hormonal change and antipsychotic adjustment dosage, interdisciplinary management involving psychiatry, gynecology, and family medicine specialities is crucial. This approach can manage the hormonal, psychiatric, and overall medical issues of these patients, provide better psychiatric care, and improve their quality of life. Further research should validate the HRT protocols along with the enhancement of the technique when used in combination with antipsychotic drugs.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".