Protective Effect of Intravesical Platelet-Rich Plasma on Cyclophosphamide-Induced Hemorrhagic Cystitis
Bibliographic record
Abstract
PURPOSE: Hemorrhagic cystitis (HC) is the most common urotoxic side effect of cyclophosphamide (CYP). Platelet rich plasma (PRP) plays an important role in wound healing and inflammatory responses. The aim of this study was to investigate the efficacy of intravesical PRP at treatment of interstitial cystitis (IC). MATERIAL-METHODS: Female rats (n=24) were used. IC was induced by intraperitoneal injection of cyclophosphamide (CYP). Rats were randomly allocated to one of four groups (n = 6 per group): a control group; a sham group with saline (75 mg/kg; i.p.) instead of CYP on day 1; a IC group, which was injected with CYP (150 mg/kg; i.p.) on day 1; and, a intravesical PRP‑treated group which was injected with CYP (150 mg/kg; i.p.) on day 1. On day 2, the rats in each group were sacrificed under anesthesia. RESULTS: Histological evaluation showed that bladder inflammation in CYP‑treated rats was not suppressed by PRP. CYP administration induced severe IC with marked edema, hemorrhage and inflammation in CYP and CYP+PRP groups, but PRP was not found to be effective to decrease these effects. CONCLUSION: The application of PRP could not reverse the histopathological changes in rats that had interstitial cystitis due to the cyclophosphamide injection.
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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) | 0.000 | 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 | 0.000 |
| 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".