Improving treatment of women with schizophrenia: a review of the recent literature
Bibliographic record
Abstract
Effective clinical management of women with schizophrenia is therapeutically challenging. While there have been recent advances in the understanding of neurobiological, hormonal, and female reproductive cycle factors that play a decisive role in the development and progression of schizophrenia in women, this knowledge has not yet been fully translated into treatment practice. The aim was to apply the best evidence available to optimally treat women with schizophrenia at various periods of the lifespan. A narrative review was conducted of recent advances (2018–2023) in aspects of schizophrenia in women that demand sex-specific treatment. Sex steroids impact antipsychotic absorption, distribution, metabolism, elimination, passage through the blood-brain barrier, and blood flow rate to the brain. For these reasons, premenopausal women with schizophrenia, as compared to male age peers, require lower doses of most antipsychotic drugs and suffer comparatively more adverse events (metabolic, sexual, and cardiovascular) at similar doses. Apart from pharmacologic treatment, women have specific reproductive planning needs and need protection from sexual exploitation and domestic abuse. In addition, when pregnant, schizophrenia women show a high risk of gestational diabetes and pre-eclampsia/eclampsia that requires prevention. Prevention is also needed against long-term health hazards for their offspring. Another period of therapeutic challenge specific to women is menopause. The collected evidence points to women-specific recommendations for both biological and psychosocial treatment strategies for schizophrenia.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 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".