Omega-3 Fatty Acids for Neuropathic Pain
Bibliographic record
Abstract
OBJECTIVE: The aim of this case series study was to investigate and report on patients with neuropathic pain who responded to treatment with omega-3 fatty acids. METHODS: Methods: Five patients with different underlying diagnoses including cervical radiculopathy, thoracic outlet syndrome, fibromyalgia, carpal tunnel syndrome, burn injury were treated with high oral doses of omega 3 fish oil (varying from 2400-7200 mg/day of EPA-DHA). Outcome measures were obtained pretreatment and posttreatment. These included validated surveys (short-form McGill Pain questionnaire, DN4 neuropathic pain scale, Pain Detect Questionnaire), objective clinical tools (Jamar grip strength, Lafayette dynamometry, tender point algometry) and EMG Nerve Conduction studies. RESULTS: These patients had clinically significant pain reduction, improved function as documented with both subjective and objective outcome measures up to as much as 19 months after treatment initiation. No serious adverse effects were reported. CONCLUSIONS: This first-ever reported case series suggests that omega-3 fatty acids may be of benefit in the management of patients with neuropathic pain. Further investigations with randomized controlled trials in a more specific neuropathic pain population would be warranted.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".