Abstract
Methods and analysis Searching will be performed in the following 11 databases (Medline, Embase, Cochrane Central Register of Controlled Trials, CINAHL, PsycINFO, WOS, Scopus, CBM, CNKI, WANFANG and VIP) for published trials and 2 trial registries (ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform) for unpublished trials. Google Scholar will be used to find grey literature. The criterion of inclusion will be clinical trials involving digital health exercise interventions in older adults (≥60 years) diagnosed with sarcopenia (possible, confirmed or severe sarcopenia). For data synthesis, we will use a summary table to show the major characteristics of selected trials and a summary graph to demonstrate the risk of bias for each outcome using RoB 2, which will be further discussed in a narrative synthesis. The possibility of meta-analysis for quantitative data will be assessed according to the homogeneity analysis of the trials, using the methods of fixed or random effects model. If meta-analysis is possible, subgroup analysis and sensitivity analysis will be performed as well. Publication bias will be assessed through the use of the funnel plot and Egger’s linear regression test when an adequate number of trials are available. Finally, the Grading of Recommendations, Assessment, Development and Evaluation approach will be used to classify the certainty of evidence body into four categories (high, moderate, low and very low).
Ethics and dissemination The findings of the systematic review will be shared through publishing in a peer-reviewed journal and presentation at appropriate conferences. Since we will not be using specific patient data, ethical approval is unnecessary.
Original language | English |
---|---|
Article number | e086124 |
Journal | BMJ Open |
Volume | 14 |
Early online date | 21 Oct 2024 |
DOIs | |
Publication status | E-pub ahead of print - 21 Oct 2024 |
Keywords
- Sarcopenia
- Digital health intervention
- Exercise
- Older adults
- Systematic reveiw
Fingerprint
Dive into the research topics of 'Effectiveness of digital health exercise interventions on muscle function and physical performance in older adults with possible, confirmed, or severe sarcopenia: A protocol for a systematic review'. Together they form a unique fingerprint.Projects
-
HARG: Healthy Ageing Research Group
Todd, C. (Researcher), Stanmore, E. (Researcher), Hall, A. (Researcher), Littlewood, A. (Researcher), Davies, A. (Researcher), Sowerbutts, A. M. (Researcher), Maharani, A. (Researcher), Dowding, D. (Researcher), Jones, D. (Researcher), Boulton, L. (Researcher), Cruickshank, F. (Researcher), Hawley-Hague, H. (Researcher), Brooks, J. (Researcher), Griffiths, J. (Researcher), Spencer, K. (Researcher), Fisher, K. (Researcher), Mcgarrigle, L. (Researcher), Cook, M. (Researcher), Pendleton, N. (Researcher), Stanford, P. (Researcher), Lasrado, R. (Researcher), Ahmed, S. (Researcher), Clinch, S. (Researcher), Burden, S. (Researcher), Gluchowski, A. (Researcher), Ford, C. (PGR student), Al Zadjali, F. (PGR student), Sremanakova, J. (PGR student), Fisher, K. (PGR student), Zougar, M. (PGR student), Almohaisen, N. (PGR student), Yang, Y. (PGR student), Mckenzie, Y. (PGR student), O'Connor, S. (Researcher), Aminu, A. (Researcher), Bosco, A. (Researcher), Parchment, A. (Researcher), Money, A. (Researcher), Mackenzie, A. (Researcher), Karki, B. (PGR student), Poku, B. (Researcher), Eost-Telling, C. (Researcher), French, C. (PGR student), Harris, D. (PGR student), Damisa, E. (Researcher), Vardy, E. (Researcher), Hakeem, F. (Researcher), Donald, G. (Researcher), Bilsborough, H. (PGR student), Gangannagaripalli, J. (Researcher), Astbury, J. (Researcher), Garsden, J. (Researcher), Ventre, J. (Researcher), Aguilera Munoz, J. (Researcher), Allsopp, K. (Researcher), Mcgarrigle, L. (Researcher), Mott, L. (PGR student), Huang, L. (Researcher), Tomkow, L. (Researcher), Ahmed, N. (Researcher), Fox, S. (Researcher), Mcdermott, J. (Researcher), Hoodless, S. (Researcher), Dlima, S. (PGR student), Shi, Y. (PGR student) & Tang, Y. (PGR student)
Project: Research