Multiday intravenous ketamine infusion therapy for the management of central sensitisation syndrome secondary to chronic chemotherapy–induced peripheral neuropathic pain
Bibliographic record
Abstract
Ketamine infusion therapy is increasingly being used as an effective treatment for chronic pain syndromes, including central sensitisation syndrome (CSS) or nociplastic pain. On the contrary, chemotherapy-induced peripheral neuropathy (CIPN) is a common but poorly understood condition arising secondary to cancer treatment complications, which poses significant challenges in its management due to limited therapeutic options. We present a case of a man in his 60s with chronic CIPN, later complicated by CSS and post-COVID-19 symptoms treated with a multiday subanaesthetic ketamine infusion, resulting in a clinically significant and sustained long-term improvement in function and pain control, for pain due to CSS and CIPN.This case highlights the use of multiday ketamine infusion therapy for the management of CSS and post-COVID-19 symptoms in a patient with well-documented severe treatment refractory CIPN. It demonstrates the growing evidence for ketamine as an analgesic agent for chronic pain, with potential considerations to expand its use for other indications. His response to ketamine infusion may implicate the possibility of a unifying mechanism in patients with nociplastic pain or CSS, post- COVID-19 symptoms and chronic CIPN.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".