Influence of Insulin-like Growth Factor I on Nerve Regeneration Using Allografts
Bibliographic record
Abstract
Effects of insulin-like growth factor I (IGF I) on peripheral nerve regeneration was studied using allografts in a rat sciatic nerve model. Thirty male white Wistar rats were divided into 3 experimental groups (n = 10) randomly: normal control group (NC), allograft group (ALLO), and IGF I-treated group (ALLO/IGF). In the NC group, the left sciatic nerve was exposed through a gluteal muscle incision and, after homeostasis, the muscle was sutured. In the ALLO group, the left sciatic nerve was exposed through a gluteal muscle incision and transected proximal to the tibioperoneal bifurcation where a 10-mm segment was excised. The same procedure was performed in the ALLO/IGF group. The harvested nerves of the rats of the ALLO group were served as allograft for the ALLO/IGF group and vice versa. The NC and ALLO groups received 10 μL of sterile phosphate buffered saline intraperitoneally once a day for 1 week, and the ALLO/IGF group received 10 μL of IGF I (100 ng/kg per day) intraperitoneally once a day for 1 week. Behavioral testing, sciatic nerve functional study and the gastrocnemius muscle mass showed earlier regeneration of axons in the ALLO/IGF group than in the ALLO group (P < 0.05). Administration of IGF I could accelerate functional recovery after nerve allografting in the sciatic nerve and may have clinical implications for the surgical management of patients after facial nerve transection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".