The histopathological investigation of the effect on regional and systemic tissues of the application of Medicinal Plant Extract Ankaferd Blood Stopper in deep tissue injuries in Rats
Bibliographic record
Abstract
BACKGROUND: This study was planned to evaluate both the histopathological changes under light microscope as well as the systemic organ effects following application of Ankaferd Blood Stopper® (ABS) (a mixture of five plant extracts) in an animal model of deep tissue hemorrhage. METHODS: A total of 50 Wistar Albino rats were divided into five groups of 10 rats each. The rats underwent femoral vein puncture and were treated with ABS tampon, ABS spray, or Surgicel, and one group was left untreated. After two weeks, each group underwent partial tissue excision from the same femoral region as well as from the brain, heart, kidney, and liver. RESULTS: The specimens from all groups were obtained from the femoral region after two weeks and evaluated under light microscope. The light microscope revealed no histopathological changes in neurovascular structures or in deep connective tissues in any of the groups. CONCLUSION: ABS provided hemostasis and was observed to stop bleeding. There were no histopathological changes at the tissue level and no pathological effects in other organs tissues under light microscope, and the remote organ tissue remained clear.
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) | 0.001 | 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) | 0.002 | 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".