Clip Compression Model Is Useful for Thoracic Spinal Cord Injuries
Bibliographic record
Abstract
STUDY DESIGN: Experimental investigation of an acute thoracic spinal cord injury model in rats involving acute clip compression that simulates human injury. OBJECTIVE: To assess the dose-response of this model for the relationship between the force of injury on the rat thoracic spinal cord and histological and functional outcome measures. SUMMARY OF BACKGROUND DATA: Acute extradural clip compression injury has been a reliable model for producing acute experimental cervical spinal cord injury; however, this model has not been formally evaluated with dose-response curves for acute injury of the thoracic spinal cord. METHODS: After laminectomy at T2 in Sprague-Dawley rats, a modified aneurysm clip exerting a closing force of 20, 26, or 35 g was applied extradurally around the spinal cord at T2, and then rapidly released with cord compression persisting for 1 minute. These forces were selected to simulate acute compression injuries of mild to moderate, moderate, and moderate to severe degrees, respectively (n = 8/group). Motor activity was assessed weekly for 4 weeks with the Basso, Beattie, and Bresnahan (BBB) open field locomotor test. The injured spinal cord was then examined histologically including quantification of cavitation. RESULTS: A significant main effect was observed for clip force and BBB score (F(2,20) = 5.42, P = 0.013). For 4 weeks after injury, the BBB scores for the 20 g and 35 g clip injury groups were significantly different (P < 0.05). The cavitation volume at 4 weeks was directly proportional to the severity of injury: the 20 g group had significantly smaller cavities than the 35 g group (P < 0.05), and the cavitation volume correlated with the BBB scores. CONCLUSION: The rat thoracic cord clip compression model is a reproducible, clinically relevant spinal cord injury model. This is the first time that the force of clip compression injury in the rat thoracic cord has been correlated with both functional and histologic outcome measures.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".