Methylphenidate and/or a Nursing Telephone Intervention for Fatigue in Patients With Advanced Cancer: A Randomized, Placebo-Controlled, Phase II Trial
Bibliographic record
Abstract
PURPOSE: Cancer-related-fatigue (CRF) is common in advanced cancer. The primary objective of the study was to compare the effects of methylphenidate (MP) with those of placebo (PL) on CRF as measured using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) fatigue subscale. The effect of a combined intervention including MP plus a nursing telephone intervention (NTI) was also assessed. PATIENTS AND METHODS: Patients with advanced cancer with a fatigue score of ≥ 4 out of 10 on the Edmonton Symptom Assessment Scale (ESAS) were randomly assigned to one of the following four groups: MP+NTI, PL+NTI, MP + control telephone intervention (CTI), and PL+CTI. Methylphenidate dose was 5 mg every 2 hours as needed up to 20 mg per day. The primary end point was the median difference in FACIT-F fatigue at day 15. Secondary outcomes included anxiety, depression, and sleep. RESULTS: One hundred forty-one patients were evaluable. Median FACIT-F fatigue scores improved from baseline to day 15 in all groups: MP+NTI (median score, 4.5; P = .005), PL+NTI (median score, 8.0; P < .001), MP+CTI (median score, 7.0; P = .004), and PL+CTI (median score, 5.0; P = .03). However, there were no significant differences in the median improvement in FACIT-F fatigue between the MP and PL groups (5.5 v 6.0, respectively; P = .69) and among all four groups (P = .16). Fatigue (P < .001), nausea (P = .01), depression (P = .02), anxiety (P = .01), drowsiness (P < .001), appetite (P = .009), sleep (P < .001), and feeling of well-being (P < .001), as measured by the ESAS, significantly improved in patients who received NTI. Grade ≥ 3 adverse events did not differ between MP and PL (40 of 93 patients v 29 of 97 patients, respectively; P = .06). CONCLUSION: MP and NTI alone or combined were not superior to placebo in improving CRF.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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".