Local effect of celecoxib on peripheral nerve repair combined with silicone tubulization in rat.
Bibliographic record
Abstract
OBJECTIVE: To assess local effect of celecoxib on nerve regeneration in a rat sciatic nerve transection model. METHODS: Forty-five male healthy white Wistar rats were randomly divided into three experimental groups (n equal to 15 for each): sham-operation (SHAM), control (SIL) and celecoxib treated (SIL/CLX) groups. In SHAM group after anesthesia left sciatic nerve was exposed and after homeostasis muscle was sutured. In SIL group the left sciatic nerve was exposed in the same way and transected proximal to tibioperoneal bifurcation leaving a 10 mm gap. Proximal and distal stumps were each inserted into a silicone tube and filled with 10 microlitre phosphate buffered solution. In SIL/CLX group defect was bridged using a silicone tube filled with 10 microlitre celecoxib (0.1 g/L). RESULTS: Functional study and gastrocnemius muscle mass confirmed faster and better recovery of regenerated axons in SIL/CLX than in SIL group (P less than 0.05). Morphometric indices of regenerated fibers showed number and diameter of the myelinated fibers in SIL/CLX were significantly greater than those in control group. In immunohistochemistry, location of reactions to S-100 in SIL/CLX was clearly more positive than that in SIL group. CONCLUSION: Response to local treatment of celecoxib demonstrates that it influences and improves functional recovery of peripheral nerve regeneration.
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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) | 0.000 | 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) | 0.002 | 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".