EFFECT OF OCIMUM BASILICUM IN PREVENTION OF MURINE CYCLOPHOSPHAMIDE INDUCED VASCULAR CONGESTION OF OVARIAN MEDULLA
Bibliographic record
Abstract
Cyclophosphamide is one of the alkylating chemotherapeutic drug used in cancer patients that exhibits antifertility effects on female gonads. Ocimum Basilicum is a natural herb rich in polyphenols and is known to improve fertility. Objective: To determine the role of a natural herb, Ocimum basilicum extract, as a protective agent against cyclophosphamide induced congestion in ovarian medulla. Methods: 45 adult female albino rats were divided in control group A, experimental groups B and C each having 15 rats. Group A rats received single dose of 150 mg/kg normal saline intraperitoneally on 8th day of experiment, while group B was given single intraperitoneal dose of 150 mg/kg cyclophosphamide at day 8 of experiment. Group C rats were pretreated with methanolic basil (Ocimum basilicum) seeds extract for 7 days followed by single intraperitoneal dose of 150 mg/kg cyclophosphamide at day 8 of experiment. All the rats were dissected 48 hours after the last dose. Results: Cyclophosphamide caused congestion of blood vessels in ovarian medulla in group B and C. Congestion of ovarian medulla in group B when compared with control group A was highly significant with p-value <0.001. When observed in experimental group C, there was slight improvement in congestion of blood vessels. When compared with the group B, the difference was not significant having p-value 0.229. Conclusion: The results of the present study proved that basil seeds showed slight improvement in vascular congestion in ovarian medulla, when used with Cyclophosphamide as a preventive agent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".