Transdermal Lidocaine and Ketamine for Neuropathic Pain: A Study of Effectiveness and Tolerability
Bibliographic record
Abstract
BACKGROUND: Acute neuropathic pain is a common disorder. Transdermal cream could be an alternative to oral medications. OBJECTIVE: To evaluate the effectiveness and tolerability of transdermal Lidocaine and Ketamine for acute neuropathic pain. STUDY DESIGN: Retrospective chart review SETTING: University-affiliated outpatient Physiatry clinic METHODS: ARTICIPANTS: neuropathic pain with a prescription of a transdermal cream containing Lidocaine and Ketamine. Ef-fectiveness was evaluated by the number of patients with improvement divided by the total number of patients who re-ceived a prescription of the cream. RESULTS: A total of 854 patient charts were reviewed. Twenty-one patients with symptoms, signs, and/or a documented di-agnosis of neuropathic pain and had been given a prescription of a transdermal preparation containing Lidocaine and Ketamine. Four groups were identified: those with a clearly stated diagnosis of neuropathic pain and prescribed a transdermal compound containing Lidocaine and Ketamine with follow-up (Group A) or without follow-up (Group B), and those with a suggested diagnosis of neuropathic pain with (Group C) or without follow-up (Group D). Effectiveness of the cream was seven out of eight (87%) for Group A and one out of three (33%) for Group C. In total, eight out of 11 patients (73%) benefited from a cream containing Lidocaine and Ketamine. Two patients experienced skin reactions that led to discontin-uation of treatment. LIMITATIONS: This is a retrospective chart review without control group. CONCLUSION: Transdermal cream containing Ketamine and Lidocaine was effective in 73% of patients with acute neuro-pathic pain and may be a good alternative to oral medications.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".