A Standardized <i>Asparagus Racemosus</i> Root Extract Improves Hormonal Balance and Menstrual Health and Reduces Vasomotor Symptoms in Perimenopausal Women: A Randomized, Double-Blind, Placebo-Controlled Study
Bibliographic record
Abstract
Background Perimenopausal women often experience dysmenorrhea, menstrual cramps, hormonal imbalances and vasomotor symptoms (VMS), significantly affecting their quality of life. In Ayurveda, Asparagus racemosus (Shatavari) root extract has been used for female reproductive health. This study evaluated the safety and efficacy of CL22205, a standardized A. racemosus root extract, in managing perimenopausal symptoms.Methods This randomized, double-blind, placebo-controlled trial was conducted on 50 perimenopausal women (age: 40–50 years) experiencing mild to moderate climacteric symptoms. Participants received either CL22205 (200 mg/day) or placebo over a period of 120 consecutive days. Primary outcome measure was Menopausal Rating Scale (MRS) scores. Secondary measures assessed Hot Flash Weekly Weighted Score (HFWWS), Menstrual Symptom Questionnaire (MSQ), ovarian follicular number using ultrasonography, serum Follicle-Stimulating Hormone (FSH), Luteinizing Hormone (LH), Anti-Müllerian Hormone (AMH), and 17β-Estradiol (E2), skin and hair quality, and patient satisfaction using Integrative Medicine Patient Satisfaction & Outcome Scales (IMPSS & IMOS). Serum biochemistry, hematology, and urine analysis were performed for safety evaluation.Results CL22205 significantly reduced (p < 0.001) total MRS scores and HFWWS vs. placebo and baseline after 120 days of treatment, menstrual symptoms (congestive and spasmodic dysmenorrhea) were improved (p < 0.001). CL22205 decreased serum FSH (56.3%), LH (34.3%), and increased AMH (188.1%, p < 0.001) levels. Skin and hair quality improved significantly (p < 0.001), with no adverse events.Conclusion CL22205 effectively reduces VMS, menstrual discomfort, and hormonal imbalances while improving skin and hair health, offering a safe and natural alternative for perimenopausal symptoms management.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".