Bupropion Sustained Release Treatment Reduces Fatigue in Cancer Patients
Bibliographic record
Abstract
OBJECTIVE: To demonstrate that bupropion sustained release (SR) can reduce the symptoms of fatigue experienced by cancer patients. METHOD: We studied an open-label case series of outpatients with fatigue referred for psychiatric assessment from a tertiary care cancer centre. Inclusion criteria were the presence of fatigue or depression with marked fatigue. Clinical status was assessed using the Global Clinical Improvement scale. RESULTS: Fifteen subjects with various cancer sites and psychiatric diagnoses were treated with bupropion SR (modal dose 150 mg) for up to 2 years. Most (13 of 15) saw improvement. Thirteen patients had minor, expectable side effects, and 10 patients were able to continue with bupropion for an extended time. All subjects who improved showed improvement within 2 to 4 weeks. CONCLUSIONS: This is the first report that shows bupropion SR can reduce fatigue in cancer patients. Controlled studies with more homogeneous samples would be necessary to establish the efficacy of this intervention. Further studies should address whether this effect of bupropion is separate from its action as an antidepressant.
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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) | 0.002 | 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".