This protocol is designed to analyze the effects of a therapeutic exercise program combined with an RMT protocol in patients with subacute stroke, compared to another group that will perform the therapeutic exercise program combined with sham RMT in relation to different functional variables.
Sample size assessment: The sample size calculation was performed using the G*Power software and based on the 6 Minute Walk Test (6MWT), chosen as the main variable. The minimum clinically important difference (MCID) data from the study by Fulk et al. (MCID=130) and the standard deviation (SD) from the study by Baker et al. (conducted in patients with subacute stroke in the United Kingdom, SD=143) were used. For a two-sided hypothesis, with a statistical power of 90% and a significance level of 0.05, a sample size of 32 subjects per group would be required (assuming a 20% loss over the course of the study). Additionally, a pilot phase will be developed at the beginning of the study with eight other subjects who will not be part of the final sample, in order study the feasibility of the project.
Plan for missing data: At the end of each assessment session, all questionnaires will be checked to ensure they are complete and filled out correctly. If a participant does not attend a session, they will be phone called and rescheduled for that session. In cases where data are reported as missing, unavailable, or uninterpretable due to inconsistencies or out-of-range results, a plan will be implemented to manage these cases. Strategies will include imputing missing data and excluding cases.
Statistical analysis plan: Anaconda® software and the Python 3.8.8 programming language will be used. A descriptive analysis of the variables included in the study will be performed initially. For qualitative variables, absolute frequencies and percentages will be presented, and for quantitative variables, measures of central tendency (mean/median) and dispersion (range/standard deviation) will be presented, depending on whether they are normal or non-normal. The normality of the sample will be tested using the Shapiro-Wilk test. Per-protocol and intention-to-treat analyses will be performed to determine the effectiveness of the treatment both under ideal conditions of protocol adherence and in a more realistic context of losses throughout the intervention. To compare the results of the outcome measures between the study groups throughout the intervention, a repeated-measures ANOVA will be applied with a within-subject factor, time, which has four levels (pre-training, post-training, and at three and six months post-training), and a between-subject factor, the type of intervention (therapeutic exercise + RMT or therapeutic exercise + sham RMT). Another repeated-measures ANOVA will be applied with the same within-subject factor, and the presence or absence of maintenance sessions as a between-subject factor (only for the intervention group). The level of statistical significance will be set at p<0.05.