The role of Chinese acupuncture plus herbal decoction for chemotherapy induced cognitive impairment in elderly cancer patients.
Bibliographic record
Abstract
e24018 Background: Elderly cancer patients would suffer cognitive impairment due to chemotherapy, and a series of neurocognitive symptoms, known as "chemobrain". Chinese acupuncture plus herbal decoction is an emerging therapeutic option for chemotherapy-induced cognitive impairment in elderly cancer patients, despite limited supporting evidence. By evaluating this novel Chinese medicine mode in elderly cancer patients at our institution, we aimed to contribute to the existing knowledge in this area while establishing a basis for further research. Methods: We performed a retrospective review of all cases of “chemobrain” related elderly cancer patients treated with Chinese acupuncture plus herbal decoction between 2019 and 2022. We identified 168 elderly cancer patients with clinically confirmed chemobrain; 83 were treated with electroacupuncture (2 sessions per week over 8 weeks) plus herbal decoction(Chines herbal medicine); 85 received either conventional drug therapy, or palliative-intent therapy. The Montreal Cognitive Assessment(MoCA) served as the primary outcome. Digit span test was the secondary outcome for attentional function and working memory. The quality of life and multiple functional assessments were also evaluated. Results: Those with Chinese acupuncture plus herbal decoction had much better performance than the remainder(as control), reverse digit span test at Week2 and Week8, with medium effect size of 0.53 and 0.48, respectively, the difference in MoCA score and prevalence of chemobrain between cohorts was underpowered and not statistically significant. Higher baseline ECOG and comorbidity was noted in the latter cohort. Conclusions: These results suggest that Chinese electroacupuncture plus herbal decoction might have particular benefits in reducing chemotherapy-induced working memory impairment and could markedly reduce various side effects caused by cytotoxic chemotherapy drugs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".