Paroxetine increases estrogen and cognition in postmenopausal anxiety-depression patients
Bibliographic record
Abstract
Objective To investigate the effect of paroxetine on sex hormone levels and cognitive function in post-menopausal anxiety/depression patients.Methods Eighty-two post-menopausal patients who were diagnosed as anxiety/depression disorder and were not receiving hormone replacement therapy participated in aprospective,6-month,open-label naturalistic study.Patients were divided into an antidepressant treatment group(44cases)and a non-antidepressant treatment(control)group(38cases).We collected demographic data,sex hormone levels,psychological cognitive rating scale scores.Results Paroxetine significantly increased serum E2from(48.45±10.25)pg/mL to(57.24±14.65)pg/mL,while FSH declined from(50.56±16.78)mIU/mL to(28.90±11.34)mIU/mL(P0.05),LH also decreased from(24.18±6.25)mIU/mL to(18.43±4.55)mIU/mL(P0.05).Moreover,there were significant differences in E2,FSH,LH when comparing antidepressant group and control group after treatment.Meanwhile,HAM-A and HAM-D scores were decreased and MoCA-CV score was raised by paroxetine(P0.05).We also found a negative association between E2 and scores of HAM-A and HAM-D at pre and post-treatment of paroxetine(HAM-A:r=-0.27,r=-0.24;HAM-D:r=-0.65,r=-0.37),while a positive correlation between E2 and MoCA-CV scores at pretreatment of Paroxetine(r = 0.52,r = 0.47).Conclusions Paroxetine improves cognitive function in postmenopausal anxiety-depression patients,possibly by increasing endogenous estrogen discharge and delaying degeneration of the gonads.
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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 | 0.000 | 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) | 0.000 | 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".