Effects of a Resistance Physical Exercise Program in Multiple Myeloma Patients

NCT ID: NCT07253103

Last Updated: 2025-11-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2026-02-01

Study Completion Date

2026-09-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The goal of this clinical trial is to learn if physical exercise improves quality of life, frailty and mental health in patients with multiple myeloma. It will also learn about the safety and adherence of the program. The main questions it aims to answer are:

Does physical exercise improves quality of life in patients with multiple myeloma? Does physical exercise improves frailty and mental health in patients with multiple myeloma? Researchers will compare supervised physical exercise and home-based unsupervised physical exercise.

Participants will:

Participate in one of the exercise programs, supervised or home-based, for 12 weeks. They will be completely evaluated before and after the intervention.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Participants will be patients diagnosed with multiple myeloma (MM) who are undergoing active treatment and who will be recruited from the Haematology Department of Salamanca University Hospital.

Intervention The physical exercise programme has been specifically designed for people diagnosed with MM undergoing active treatment. To ensure methodological quality and reproducibility of the intervention, the recommendations of the Consensus on Exercise Reporting Template (CERT) \[X\] will be followed, a detailed description of which is included in the supplementary material (Table S2).

The programme will focus primarily on resistance training, supplemented by daily aerobic activities, and will last for a total of twelve weeks. The sample will be randomly assigned to two groups: an intervention group (IG) and a control group (CG), as described below.

1. Intervention group The IG will participate in a supervised resistance training programme, with two sessions per week, 12 weeks, supplemented by a home-based physical activity promotion programme to be carried out four times per week. All supervised sessions will be led by a physiotherapist at a health centre.
2. Control group The CG will only perform the home-based physical activity promotion program 4 days/week.

The randomisation process for this clinical trial will be carried out using Microsoft Excel 2020, which will generate a list of random numbers for the allocation of participants. Each participant will be assigned a unique number from this list: those with odd numbers will be assigned to the experimental group, and those with even numbers to the control group. This procedure ensures a random and balanced distribution between the groups, minimising possible biases and increasing the validity of the study results. Randomisation will be carried out by a member of staff from the Haematology Department of the University Hospital of Salamanca who will not be involved in the research.

Given the study design, it will not be possible to blind participants or assessors to the intervention. However, in order to preserve the objectivity of the results, the statistical analysis will be performed by an independent statistician who is not involved in the study and is unaware of the allocation of participants to the different groups.

For descriptive analysis, data normality will be asessed using the Kolmogorov-Smirnov and Shapiro-Wilk tests (the latter applicable in samples with n \< 30). Variables with a normal distribution will be described using mean, standard deviation and range, while those that do not follow a normal distribution will be represented using median and interquartile range. Qualitative variables will be expressed in absolute frequencies and percentages.

In quantitative analysis, Pearson's correlation coefficient will be used to verify the validity of the assessment procedures used in the study, and Cronbach's alpha will be used to determine their internal reliability.

For comparisons between two means, the following will be applied: Student's t-test for independent samples (parametric), Mann-Whitney U test (non-parametric for independent samples), and Wilcoxon test (non-parametric for paired data). When comparing three or more means, an ANOVA for independent groups (parametric test with Snedecor's F test) will be used or, failing that, the Kruskal-Wallis test (non-parametric). In the case of repeated measures, Snedecor's F test will be applied for parametric data and Friedman's test for non-parametric data. Correlations will be analysed using Pearson's coefficient when the data follow a normal distribution and Spearman's coefficient when they do not. To identify the variables associated with the results of interest, a multivariate logistic regression analysis will be performed, including in the model those variables that are significant in the bivariate analysis or that are considered relevant to the study. For qualitative or categorical variables, contingency tables and the Chi-square test will be used in comparisons between two independent samples. A p-value \< 0.05 will be considered significant, corresponding to a 95% confidence interval. All statistical analyses will be performed using IBM SPSS Statistics, version 28.0.1.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Multiple Myeloma (MM) Exercise Cancer

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Outcome Assessors
Given the study design, it will not be possible to blind participants or assessors to the intervention. However, in order to preserve the objectivity of the results, the statistical analysis will be performed by an independent statistician who is not involved in the study and is unaware of the allocation of participants to the different groups.

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Intervention group

Supervised physical exercise program

Group Type EXPERIMENTAL

Supervised physical exercise

Intervention Type OTHER

Participants will follow a supervised physical exercise program for 12 weeks.

Home-based physical exercise program

Intervention Type OTHER

Participants will follow a home-based physical exercise program for 12 weeks.

Control group

Home-based physical exercise program

Group Type EXPERIMENTAL

Home-based physical exercise program

Intervention Type OTHER

Participants will follow a home-based physical exercise program for 12 weeks.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Supervised physical exercise

Participants will follow a supervised physical exercise program for 12 weeks.

Intervention Type OTHER

Home-based physical exercise program

Participants will follow a home-based physical exercise program for 12 weeks.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Confirmed diagnosis of MM undergoing active treatment.
* No regular physical activity during the previous eight weeks.
* Functional status (ECOG) 0-1.
* Signature of informed consent.

Exclusion Criteria

* Presence of medical contraindications for physical exercise, such as severe musculoskeletal disorders, severe cardiovascular disease, bone metastases, or other conditions that the medical team considers inappropriate.
* Inability to complete the initial assessment tests or difficulty performing basic exercises.
* Any other circumstance that, in the opinion of the investigators, may interfere with the objectives or conduct of the study.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University of Salamanca

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

CARLOS MARTIN SANCHEZ

Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Carlos Martin Sanchez, PhD

Role: CONTACT

+34923294500

References

Explore related publications, articles, or registry entries linked to this study.

Fairman CM, Zourdos MC, Helms ER, Focht BC. A Scientific Rationale to Improve Resistance Training Prescription in Exercise Oncology. Sports Med. 2017 Aug;47(8):1457-1465. doi: 10.1007/s40279-017-0673-7.

Reference Type BACKGROUND
PMID: 28074412 (View on PubMed)

Kirkham AA, Eves ND, Shave RE, Bland KA, Bovard J, Gelmon KA, Virani SA, McKenzie DC, Stohr EJ, Waburton DER, Campbell KL. The effect of an aerobic exercise bout 24 h prior to each doxorubicin treatment for breast cancer on markers of cardiotoxicity and treatment symptoms: a RCT. Breast Cancer Res Treat. 2018 Feb;167(3):719-729. doi: 10.1007/s10549-017-4554-4. Epub 2017 Nov 6.

Reference Type BACKGROUND
PMID: 29110150 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

ExerciseMM2025

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.