Effect of Asparagus racemosus on selected female reproductive parameters using Wistar rat model.
Bibliographic record
Abstract
Dysmenorrhea is a major cause of female morbidity globally. Asparagus racemosus (ASP) is traditionally used to manage dysmenorrhea in Nakuru, Kenya. This study evaluates the effect of Asparagus racemosus on female reproductive parameters; estrus cyclicity, mating success, gestation length, litter size and dysmenorrhea. The effect of Asparagus racemosus and ibuprofen on isolated uterine strips was evaluated using six non-pregnant rats. The uterine strips were exposed to serial extract concentrations (20, 40, 80,160 mg/ml) and 20 mg/ml ibuprofen was used as a positive control.There was significant increase of proestrus phase (P < 0.001) and a subsequent significant reduction in the metestrus (P < 0.01) and diestrus (P < 0.05). No significant difference in mating success and gestation length, however Ibuprofen caused significant disruption of gestation length (P < 0.05). The treated groups produced higher number of pups compared to controls. The plant extract caused a dose dependent significant reduction in uterine force of contraction by (-0.15%, -5.13%, -7.97%, -19.55 %) at 20, 40, 80 and 160 mg/ml respectively. The plant extract also caused a significant decline in frequency of uterine contraction (-5.99%; -9.61%; -16.76% and -25.21%) The extract caused no mortality even at the limit dose; 5000 mg/kg. Asparagus racemosus reduces uterine force and frequency of contraction. This is probably the reason for its traditional use in dysmenorrhea management.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".