Factors Associated with Response to Methylphenidate in Advanced Cancer Patients
Bibliographic record
Abstract
Abstract Learning Objectives After completing this course, the reader will be able to: Identify the specific patient characteristics associated with response to methylphenidate as treatment for cancer-related fatigue.Compare day 1 patient response to methylphenidate to day 8 response and evaluate as a predictor of long-term improvement. CME This article is available for continuing medical education credit at CME.TheOncologist.com Background. There has been increasing interest in the use of methylphenidate for cancer-related fatigue (CRF) in patients with advanced cancer. However, there is limited literature on the specific patient characteristics associated with response to methylphenidate. Our objective of this study was to identify the specific patient characteristics associated with response to methylphenidate and to compare day 1 response with day 8 response. Methods. We retrospectively reviewed the records of patients in two prospective controlled clinical trials that we had conducted who had received methylphenidate for cancer-related fatigue. Baseline patient characteristics, symptoms (as assessed by the Edmonton Symptom Assessment System [ESAS] and Functional Assessment of Chronic Illness Therapy-Fatigue [FACIT-F]), and response (change in fatigue) at the end of day 1 treatment were analyzed to determine their association with response to methylphenidate on day 8. Results. A total of 82 patients with advanced cancer who received methylphenidate for CRF were included in our review. The median age was 55 years, 66% were female, 74% were white, and the most common cancer type was breast (37%). Fifty out of 82 patients (61%) responded to methylphenidate (≥7 points in FACIT-F). The intensity of baseline fatigue positively correlated with the response to methylphenidate (p < .001). Change in fatigue in response to methylphenidate was not associated with intensity of baseline depression, anxiety, drowsiness, or daily opioid dose. Better improvement of fatigue after treatment on day 1 was associated with more improvement with fatigue on day 8 as assessed by FACIT-F (p = .0004) and ESAS (p = .0001). Day 1 response as a predictor of day 8 response had a sensitivity of 0.84, a positive predictive value of 0.67, and specificity of 0.6. Conclusions. Response to methylphenidate is associated with higher baseline fatigue but not with higher baseline depression or sedation. Additionally, day 1 improvement is highly sensitive as a predictor of long-term improvement.
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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 | 0.000 | 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".