The relationship between gonadal hormone levels andsymptom severity in female patients with schizophrenia
Bibliographic record
Abstract
Objective: It is thought that sex-specific differences in schizophrenia may be associated with gonadal hormones, especially estrogen. This study aimed to investigate the relationship between follicle stimulating hormone (FSH), luteinizing hormone (LH), prolactin, estradiol, and progesterone serum levels and symptom severity during the menstrual cycle in female patients with schizophrenia. Methods: Serum samples were taken in the follicular and periovulatory phases from 32 female patients with schizophrenia; and FSH, LH, prolactin, estradiol, and progesterone levels were performed. Simultaneously, the patients were administered positive and negative symptom scale (PANSS), Calgary depression scale for schizophrenia (CDSS), and Hamilton anxiety rating scale (HAM-A). Results: = .029) were detected. Conclusion: Hypoestrogenism should be studied more in patients with schizophrenia. Studies with large samples evaluating FSH, LH, prolactin, and progesterone together with estrogen are needed to be able to safely use gonadal hormones, which may be related to schizophrenia symptom severity, especially in patients who do not respond adequately to treatment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".