2015
DOI: 10.1016/j.jpainsymman.2015.03.009
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The Effect of Methylphenidate on Fatigue in Advanced Cancer: An Aggregated N-of-1 Trial

Abstract: MPH does not improve fatigue in the population of patients with end-stage cancer. Aggregated N-of-1 trial methodology is feasible and produces population-based sample estimates with less than half the sample size required for the equivalent parallel-group RCT. It also identified individuals who did and did not respond to MPH, which is a feature difficult to achieve in a standard RCT. The study was registered with the Australian Clinical Trials Registry (12609000794202).

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Cited by 44 publications
(53 citation statements)
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“…N-of-1 trials have been used to assess therapeutic options in the most vulnerable populations. To assess the effectiveness of a psychostimulant (methylphenidate) on fatigue in patients with advanced cancer, a group of researchers used N-of-1 trial methodology to halve the sample size required to estimate population effects [47]. Forty-three patients were enrolled with 24 completing three random cycles (active and placebo periods).…”
Section: Patient-centred Approachmentioning
confidence: 99%
“…N-of-1 trials have been used to assess therapeutic options in the most vulnerable populations. To assess the effectiveness of a psychostimulant (methylphenidate) on fatigue in patients with advanced cancer, a group of researchers used N-of-1 trial methodology to halve the sample size required to estimate population effects [47]. Forty-three patients were enrolled with 24 completing three random cycles (active and placebo periods).…”
Section: Patient-centred Approachmentioning
confidence: 99%
“…Fourteen randomized clinical trials have been published [23][24][25][26][27][28][29][30][31][32][33][34][35][36]: nine with methylphenidate, one with dexamphetamine, two with modafinil and two with armodafinil (Table 1). All these drugs had small pilot studies suggesting possible benefits in control of CRF.…”
Section: Pharmacological Treatmentmentioning
confidence: 99%
“…When these conditions apply, N-of-1 trials provide the highest form of evidence for individual patients [17, 18]. When the same N-of-1 trial protocol is used for several individuals, aggregated data can be used to estimate the treatment effect at population level, as robustly as with traditional parallel-armed RCTs [19]. Moreover, because each patient provides several sets of matched data to each trial “arm”, generally smaller sample sizes are needed than in conventional RCTs [16, 19, 20].…”
Section: Introductionmentioning
confidence: 99%
“…When the same N-of-1 trial protocol is used for several individuals, aggregated data can be used to estimate the treatment effect at population level, as robustly as with traditional parallel-armed RCTs [19]. Moreover, because each patient provides several sets of matched data to each trial “arm”, generally smaller sample sizes are needed than in conventional RCTs [16, 19, 20]. However, compared to equally powered trial designs addressing the same clinical question, N-of-1 trials may be more burdensome for patients if the trial lasts longer (due to multiple cross-overs) and requires intensive data collection (e.g., diaries, outpatient visits) [16, 21].…”
Section: Introductionmentioning
confidence: 99%