Cannabidiol and multi-modal exercise for chemotherapy-induced peripheral neuropathy in cancer survivors
Bibliographic record
Abstract
PURPOSE: This study explored the effectiveness of cannabidiol (CBD) alone and in combination with multi-modal exercise (MME) to improve signs and symptoms of chemotherapy-induced peripheral neuropathy (CIPN), quality of life (QoL), and functional capacity in cancer survivors. METHODS: Cancer survivors (n = 27) with CIPN were enrolled in a 4-month interventional open-label study. Participants underwent two consecutive 2-month interventions: CBD (up to 300 mg/day) and CBD combined with MME. They were assessed using the painDETECT questionnaire for CIPN-related neuropathic pain and the Functional Assessment of Cancer Treatment/Gynecological Oncology-Neurotoxicity-13 (FACT-GOG-Ntx-13) questionnaire for CIPN neurotoxic symptoms (Ntx), perceived physical function (PPF) and overall QoL. Their functional status was examined through gait speed and timed up and go for mobility, the 9-hole peg test for manual dexterity, a hand-held hydraulic dynamometer for hand grip strength, and five repetitions sit-to-stand for dynamic balance, upper/lower extremity and overall strength. RESULTS: Positive effect sizes were measured by Cohen's d or Cohen's r with 95% confidence intervals (CI) from mean scores, and were d 0.62, CI 0.03-1.20 for Ntx; d 0.62, CI 0.09-1.26 for PPF; and r 0.401, CI 0.13-0.61 for hand grip strength after 2 months of CBD alone. After adding MME to CBD for another 2 months, the effect sizes were d 0.526, CI -0.15-1.19 for painDETECT; d 0.862, CI 0.67-1.55 for CIPN neurotoxic symptoms; d 1.03, CI 0.30-1.74 for perceived physical function; r 0.447, CI 0.15-0.67 for overall QoL; r 0.339, CI 0.03-0.59 for gait speed; and r 0.389, CI 0.08-0.63 for manual dexterity. CONCLUSIONS: The study provides a proof of concept for the therapeutic effect of CBD alone and in combination with MME to improve symptoms' burden, QoL and functional impairments related to CIPN in patients who are cured from cancer. Future randomized studies are needed to confirm the causal effects of CBD and exercise on CIPN, and to replicate our findings.
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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 | 0.000 | 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) | 0.001 | 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".