Current Exercise Behaviors Of Breast Cancer Patients Diagnosed With Chemotherapy-induced Peripheral Neuropathy
Bibliographic record
Abstract
Introduction: Chemotherapy-induced peripheral neuropathy (CIPN) is a common, dose-limiting effect of cancer therapy. The neuropathic pain associated with CIPN often has negative implications on an individual’s quality of life (QOL) and has long been recognized as one of the more difficult types of pain to treat. Treatment of neuropathic pain due to CIPN often requires a multidisciplinary approach, with much attention focused on the use of pharmacological therapies. However, in most instances, these agents have been shown to have additional negative side effects for cancer patients. Thus, other interventions that address the symptoms of CIPN should be considered. One such possible intervention is exercise rehabilitation, which has previously been reported effective in attenuating numerous cancer treatment-related toxicities and enhancing the QOL of patients. However, to our knowledge, there have been no published clinical trials examining the role of exercise in preserving neurological function following chemotherapy. As such, the purpose of this investigation was to examine the current exercise habits of breast cancer patients who are diagnosed with CIPN and the impact on pain and QOL. Methods: 300 women listed in the Breast Cancer Registry of Greater Cincinnati database were recruited by mail and asked to complete three questionnaires (McGill QOL, Leeds Assessment of Neuropathic Symptoms and Signs, and Current Exercise Behaviors). Data was analyzed at the 0.05 level of significance using a student’s t-test and a Pearson’s product moment correlation. Results: 134 completed surveys were returned and analyzed (44.6% response rate). Overall, QOL and exercise behaviors were moderately correlated (r = 0.56). Patients reported exercising an average of 2.3 d/wk and an overall QOL of 4.7. Of the patients completing the recommended amount of physical activity (EX, n = 21), QOL was 6.3, which was significantly higher than patients who did not meet these recommendations (SED, n = 113, p<0.001). Likewise, only 15% of EX patients reported experiencing pain compared to 72% of SED patients (p<0.001). Conclusions: Based on these data, it seems likely that an exercise intervention would be successful in attenuating symptoms of CIPN and improving the overall QOL of breast cancer patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".