Black Cohosh and St. John's Wort (GYNO-Plus®) for Climacteric Symptoms
Bibliographic record
Abstract
PURPOSE: This study was conducted to investigate the efficacy of black cohosh (Cimicifuga racemosa) and St. John's wort (Hypericum perforatum) in women with climacteric symptoms, and to assess their effects on vaginal atrophy, hormone levels, and lipid profiles. MATERIALS AND METHODS: In this double-blind randomized, placebo-controlled, multicenter study, 89 peri- or postmenopausal women experiencing climacteric symptoms were treated with St. John's wort and black cohosh extract (Gynoplus), Jin-Yang Pharm., Seoul, Korea) or a matched placebo for 12 weeks. Climacteric complaints were evaluated by the Kupperman Index (KI) initially and at 4 and 12 weeks following treatment. Vaginal maturation indices, serum estradiol, FSH, LH, total cholesterol, HDL- cholesterol, LDL-cholesterol, and triglyceride levels were measured before and after treatment. From the initial 89 participants, 77 completed the trial (42 in the Gynoplus group, 35 in the placebo group). RESULTS: Baseline characteristics were not significantly different between the two groups. Mean KI scores and hot flushes after 4 and 12 weeks were significantly lower in the Gynoplus group. Differences in superficial cell proportion were not statistically significant. HDL levels decreased in the control group from 60.20 +/- 16.37 to 56.63 +/- 12.67, and increased in the Gynoplus group from 58.32 +/- 11.64 to 59.74 +/- 10.54; this was statistically significant (p=0.04). CONCLUSION: Black cohosh and St. John's wort combination was found to be effective in alleviating climacteric symptoms and might provide benefits to lipid metabolism.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.003 | 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".