Implementation of Platelet-Rich Plasma in Regeneration of Spinal Nerve Affected by Symptomatic Disc Herniation
Bibliographic record
Abstract
Degenerative disc disease (DDD) is characterized by autoimmune inflammation and, in some cases, the development of peripheral paresis, sensory impairment, as well as severe pain due to axonal damage of spinal nerve or root because of compression by a disc herniation. In such cases, conservative treatment is not effective. Delaying surgical intervention can lead to irreversible impairment of nerve function. In some cases, patients refuse surgery and will become disabled for the rest of their lives. Here, in our practice, two patients with peripheral monoparesis, sensory disturbances and leg pain due to a disc herniation in VL4-L5 and VL5-S1 segments were saved from surgical intervention after retrodiscal, epidural and infraneural injection of platelet-rich plasma (PRP), even though there was an indication for surgery. Conservative treatment was ineffective in both patients. Although patients, who are candidates for surgery, always undergo surgical intervention, in our case because of PRP injection in proper places, patients were saved from operation. This compels neurosurgeons and physicians, who treat patients traditionally, to think deeply before referring patients to the operation room and increases our knowledge in the treatment plane. There was a decrease in the inflammatory process and recovery of the nerve function over a short period, as well as regression of the symptoms of the disease because of PRP. Hence, injecting PRP into a proper place in complicated herniated disc disease can stimulate nerve regeneration and decrease an inflammation process that can prevent surgical intervention.
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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) | 0.000 | 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 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".