Scolaris Content Display Scolaris Content Display

Терапия упражнениями при усталости у больных рассеянным склерозом

Contraer todo Desplegar todo

Referencias

Ahmadi 2013 {published data only}

Ahmadi A, Arastoo AA, Nikbakht M, Zahednejad S, Rajabpour M. Comparison of the effect of 8 weeks aerobic and yoga training on ambulatory function, fatigue and mood status in MS patients. Iranian Red Cresent Medical Journal 2013;15(6):449‐54.

Aydin 2014 {published data only}

Aydin T, Akif Sariyildiz M, Guler M, Celebi A, Seyithanoglu H, Mirzayev I, et al. Evaluation of the effectiveness of home based or hospital based calisthenic exercises in patients with multiple sclerosis. European Review for Medical and Pharmacological Sciences 2014;18(8):1189‐98.

Bansi 2013 {published data only}

Bansi J, Bloch W, Gamper U, Kesselring J. Training in MS: influence of two different endurance training protocols (aquatic versus overland) on cytokine and neurotrophin concentrations during three week randomized controlled trial. Multiple Sclerosis 2013;19(5):613‐21.

Brichetto 2013 {published data only}

Brichetto G, Spallarossa P, de Carvalho ML, Battaglia MA. The effect of Nintendo(R) Wii(R) on balance in people with multiple sclerosis: a pilot randomized control study. Multiple Sclerosis 2013;19(9):1219‐21.

Briken 2014 {published data only}

Briken S, Gold S, Patra S, Vettorazzi E, Harbs D, Tallner A, et al. Effects of exercise on fitness and cognition in progressive MS: a randomized, controlled pilot trial. Multiple Sclerosis 2014;20(3):382‐90.

Burschka 2014 {published data only}

Burschka JM, Keune PM, Oy UH, Oschmann P, Kuhn P. Mindfulness‐based interventions in multiple sclerosis: beneficial effects of Tai Chi on balance, coordination, fatigue and depression. BMC Neurology 2014;14:165.

Cakt 2010 {published data only}

Cakt BD, Nacir B, Genc H, Saracoglu M, Karagoz A, Erdem HR, et al. Cycling progressive resistance training for people with multiple sclerosis: a randomized controlled study. American Journal of Physical Medicine & Rehabilitation 2010;89(6):446‐57.

Carter 2014 {published data only}

Carter A, Daley A, Humphreys L, Snowdon N, Woodroofe N, Petty J, et al. Pragmatic intervention for increasing self‐directed exercise behaviour and improving important health outcomes in people with multiple sclerosis: a randomised controlled trial. Multiple Sclerosis 2014;20(8):1112‐22.

Castro‐Sanchez 2012 {published data only}

Castro‐Sanchez AM, Mataran‐Penarrocha GA, Lara‐Palomo I, Saavedra‐Hernandez M, Arroyo‐Morales M, Moreno‐Lorenzo C. Hydrotherapy for the treatment of pain in people with multiple sclerosis: a randomized controlled trial. Evidence‐based Complementary and Alternative Medicine 2012;2012:1‐8.

Collett 2011 {published data only}

Collett J, Dawes H, Meaney A, Sackley C, Barker K, Wade D, et al. Exercise for multiple sclerosis: a single‐blind randomized trial comparing three exercise intensities. Multiple Sclerosis 2011;17(5):594‐603.

Coote 2015 {published data only}

Coote S, Hughes L, Rainsford G, Minogue C, Donnelly A. A pilot randomized trial of progressive resistance exercise augmented by neuromuscular electrical stimulation for people with multiple sclerosis who use walking aids. Archives of Physical Medicine and Rehabilitation 2015;96:197‐204. [PUBMED: 25308884]

Dalgas 2010 {published data only}

Dalgas U, Stenager E, Jakobsen J, Petersen T, Hansen H, Knudsen C, et al. Fatigue, mood and quality of life improve in MS patients after progressive resistance training. Multiple Sclerosis 2010;16(4):480‐90.

Dettmers 2009 {published data only}

Dettmers C, Sulzmann M, Ruchay‐Plossl A, Gutler R, Vieten M. Endurance exercise improves walking distance in MS patients with fatigue. Acta Neurologica Scandinavica 2009;120(4):251‐7.

Dodd 2011 {published data only}

Dodd KJ, Taylor NF, Shields N, Prasad D, McDonald E, Gillon A. Progressive resistance training did not improve walking but can improve muscle performance, quality of life and fatigue in adults with multiple sclerosis: a randomized controlled trial. Multiple Sclerosis 2011;17(11):1362‐74.

Frevel 2015 {published data only}

Frevel D, Maurer M. Internet‐based home training is capable to improve balance in multiple sclerosis: a comparative trial with hippotherapy. European Journal of Physical and Rehabilitation Medicine 2015;51:23‐30.

Fry 2007 {published data only}

Fry DK, Pfalzer LA, Chokshi AR, Wagner MT, Jackson ES. Randomized control trial of effects of a 10‐week inspiratory muscle training program on measures of pulmonary function in persons with multiple sclerosis. Journal of Neurologic Physical Therapy 2007;31(4):162‐72.

Gandolfi 2014 {published data only}

Gandolfi M, Geroin C, Picelli A, Munari D, Waldner A, Tamburin S, et al. Robot‐assisted vs. sensory integration training in treating gait and balance dysfunctions in patients with multiple sclerosis: a randomized controlled trial. Frontiers in Human Neuroscience 2014;8:318.

Garrett 2013 {published data only}

Garrett M, Hogan N, Larkin A, Saunders J, Jakeman P, Coote S. Exercise in the community for people with minimal gait impairment due to MS: an assessor‐blind randomized controlled trial. Multiple sclerosis 2013;19(6):782‐9.
Garrett M, Hogan N, Larkin A, Saunders J, Jakeman P, Coote S. Exercise in the community for people with multiple sclerosis ‐ a follow‐up of people with minimal gait impairment. Multiple Sclerosis 2013;19(6):790‐8.

Geddes 2009 {published data only}

Geddes EL, Costello E, Raivel K, Wilson R. The effects of a twelve‐week home walking program on cardiovascular parameters and fatigue perception of individuals with multiple sclerosis: a pilot study. Cardiopulmonary Physical Therapy Journal 2009;20(1):5‐12.

Hayes 2011 {published data only}

Hayes HA, Gappmaier E, Lastayo PC. Effects of high‐intensity resistance training on strength, mobility, balance, and fatigue in individuals with multiple sclerosis: a randomized controlled trial. Journal of Neurologic Physical Therapy 2011;35(1):2‐10.

Hebert 2011 {published data only}

Hebert JR, Corboy JR, Manago MM, Schenkman M. Effects of vestibular rehabilitation on multiple sclerosis‐related fatigue and upright postural control: a randomized controlled trial. Physical Therapy 2011;91(8):1166‐83.

Hogan 2014 {published data only}

Hogan N, Kehoe M, Larkin A, Coote S. The effect of community exercise interventions for people with ms who use bilateral support for gait. Multiple Sclerosis International 2014;109142:2‐12. [DOI: 10.1155/2014/109142]

Kargarfard 2012 {published data only}

Kargarfard M, Etemadifar M, Baker P, Mehrabi M, Hayatbakhsh MR. Effect of aquatic exercise training on fatigue and health‐related quality of life in patients with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2012;93(10):1701‐8.

Klefbeck 2003 {published data only}

Klefbeck B, Hanrah NJ. Effect of inspiratory muscle training in patients with multiple sclerosis. Archives of Physical Medicine and Rehabilitation2003; Vol. 84, issue 7:994‐9.

Learmonth 2012 {published data only}

Learmonth YC, Paul L, Miller L, Mattison P, McFadyen AK. The effects of a 12‐week leisure centre‐based, group exercise intervention for people moderately affected with multiple sclerosis: a randomized controlled pilot study. Clinical Rehabilitation 2012;26(7):579‐93.

McCullagh 2008 {published data only}

McCullagh R, Fitzgerald AP, Murphy RP, Cooke G. Long‐term benefits of exercising on quality of life and fatigue in multiple sclerosis patients with mild disability: a pilot study. Clinical Rehabilitation 2008;22(3):206‐14.

Mori 2011 {published data only}

Mori F, Ljoka C, Magni E, Codeca C, Kusayanagi H, Monteleone F, et al. Transcranial magnetic stimulation primes the effects of exercise therapy in multiple sclerosis. Journal of Neurology 2011;258(7):1281‐7.

Mostert 2002 {published data only}

Mostert S, Kesselring J. Effects of a short‐term exercise training program on aerobic fitness, fatigue, health perception and activity level of subjects with multiple sclerosis. Multiple Sclerosis 2002;8(2):161‐8.

Negahban 2013 {published data only}

Negahban H, Rezaie S, Goharpey S. Massage therapy and exercise therapy in patients with multiple sclerosis: a randomized controlled pilot study. Clinical Rehabilitation 2013;27(12):1126‐36.

Oken 2004 {published data only}

Oken BS, Kishiyama S, Zajdel D, Bourdette D, Carlsen J, Haas M, et al. Randomized controlled trial of yoga and exercise in multiple sclerosis. Journal of Neurology 2004;62(11):2058‐64.
Sherman KJ. Yoga and exercise may reduce fatigue in multiple sclerosis patients. Focus on Alternative & Complementary Therapies 2004;9(4):312‐3.

Petajan 1996 {published data only}

Petajan JH, Gappmaier E, White AT, Spencer MK, Mino L, Hicks RW. Impact of aerobic training on fitness and quality of life in multiple sclerosis. Annals of Neurology1996; Vol. 39, issue 4:432‐41.

Plow 2009 {published data only}

Plow MA, Mathiowetz V, Lowe DA. Comparing individualized rehabilitation to a group wellness intervention for persons with multiple sclerosis. American Journal of Health Promotion2009; Vol. 24, issue 1:23‐6.

Rampello 2007 {published data only}

Rampello A, Franceschini M, Piepoli M, Antenucci R, Lenti G, Olivieri D, et al. Effect of aerobic training on walking capacity and maximal exercise tolerance in patients with multiple sclerosis: a randomized crossover controlled study. Physical Therapy2007; Vol. 87, issue 5:545‐55.

Sabapathy 2011 {published data only}

Sabapathy NM, Minahan CL, Turner GT, Broadley S. Comparing endurance and resistance exercise training in people with multiple sclerosis: a randomized pilot study. Clinical Rehabilitation 2011;25(1):14‐24.

Sangelaji 2014 {published data only}

Sangelaji B, Nabavi SM, Estebsari F, Banshi MR, Rashidian H, Jamshidi E, et al. Effect of combination exercise therapy on walking distance, postural balance, fatigue and quality of life in multiple sclerosis patients: a clinical trial study. Iranian Red Crescent Medical Journal 2014;16(6):e17173.

Schulz 2004 {published data only}

Schulz KH, Gold SM, Witte J, Bartsch K, Lang UE, Hellweg R, et al. Impact of aerobic training on immune‐endocrine parameters, neurotrophic factors, quality of life and coordinative function in multiple sclerosis. Journal of Neurological Sciences 2004;225(1‐2):11‐8.

Skjerbaek 2014 {published data only}

Skjerbaek AG, Naesby M, Lutzen K, Moller AB, Jensen E, Lamers I, et al. Endurance training is feasible in severely disabled patients with progressive multiple sclerosis. Multiple Sclerosis 2014;20(5):627‐30.

Smedal 2011 {published and unpublished data}

Smedal T, Myhr KM, Aarseth JH, Gjelsvik B, Beiske AG, Glad SB, et al. The influence of warm versus cold climate on the effect of physiotherapy in multiple sclerosis. Acta Neurologica Scandinavica 2011;124:45‐52.

Straudi 2014 {published data only}

Straudi S, Martinuzzi C, Pavarelli C, Sabbagh Charabati A, Benedetti MG, Foti C, et al. A task‐oriented circuit training in multiple sclerosis: a feasibility study. BMC Neurology 2014;14(1):124.

Surakka 2004 {published data only}

Surakka J, Romberg A, Ruutiainen J, Aunola S, Virtanen A, Karppi S, et al. Effects of aerobic and strength exercise on motor fatigue in men and women with multiple sclerosis: a randomized controlled trial. Clinical Rehabilitation 2004;18(7):737‐46.

Sutherland 2001 {published data only}

Sutherland G, Andersen MB, Stoove MA. Can aerobic exercise training affect health‐related quality of life for people with multiple sclerosis?. Journal of Sports & Exercise Psychology 2001;32(2):122‐35.

Tarakci 2013 {published data only}

Tarakci E, Yeldan I, Huseyinsinoglu BE, Zenginler Y, Eraksoy M. Group exercise training for balance, functional status, spasticity, fatigue and quality of life in multiple sclerosis: a randomized controlled trial. Clinical Rehabilitation 2013;27(9):813‐22.

van den Berg 2006 {published data only}

van den Berg M, Dawes H, Wade DT, Newman M, Burridge J, Izadi H, et al. Treadmill training for individuals with multiple sclerosis: a pilot randomised trial. Journal of Neurology, Neurosurgery & Psychiatry 2006;77(4):531‐3.

Velikonja 2010 {published and unpublished data}

Velikonja O, Curic K, Ozura A, Jazbec SS. Influence of sports climbing and yoga on spasticity, cognitive function, mood and fatigue in patients with multiple sclerosis. Clinical Neurology and Neurosurgery2010; Vol. 112, issue 7:597‐601.

Wier 2011 {published data only}

Wier LM, Hatcher MS, Triche EW, Lo AC. Effect of robot‐assisted versus conventional body‐weight‐supported treadmill training on quality of life for people with multiple sclerosis. Journal of Rehabilitation Research & Development 2011;48(4):483‐92.

Barrett 2009 {published data only}

Barrett CL, Mann GE, Taylor PN, Strike P. A randomized trial to investigate the effects of functional electrical stimulation and therapeutic exercise on walking performance for people with multiple sclerosis. Multiple Sclerosis2009; Vol. 15, issue 4:493‐504.

Bayraktar 2013 {published data only}

Bayraktar D, Guclu‐Gunduz A, Yazici G, Lambeck J, Batur‐Caglayan HZ, Irkec C, et al. Effects of Ai‐Chi on balance, functional mobility, strength and fatigue in patients with multiple sclerosis: a pilot study. Neurorehabilitation 2013;33(3):431‐7.

Bjarnadottir 2007 {published data only}

Bjarnadottir OH, Konradsdottir AD, Reynisdottir K, Olafsson E. Multiple sclerosis and brief moderate exercise. A randomised study. Multiple Sclerosis2007; Vol. 13, issue 6:776‐82.

Broekmans 2010 {published data only}

Broekmans T, Roelants M, Alders G, Feys P, Thijs H, Eijnde BO. Exploring the effects of a 20‐week whole‐body vibration training programme on leg muscle performance and function in persons with multiple sclerosis. Journal of Rehabilitation Medicine2010; Vol. 42, issue 9:866‐72.

Broekmans 2011 {published data only}

Broekmans T, Roelants M, Feys P, Alders G, Gijbels D, Hanssen I, et al. Effects of long‐term resistance training and simultaneous electro‐stimulation on muscle strength and functional mobility in multiple sclerosis. Multiple Sclerosis2011; Vol. 17, issue 4:468‐77.

Carter 2013a {published data only}

Carter AM, Daley AJ, Kesterton SW, Woodroofe NM, Saxton JM, Sharrack B. Pragmatic exercise intervention in people with mild to moderate multiple sclerosis: a randomised controlled feasibility study. Contemporary Clinical Trials 2013;35(2):40‐7.

Carter 2013b {published data only}

Carter AM, Daley AJ, Kesterton SW, Woodroofe NM, Saxton JM, Sharrack B. Pragmatic exercise intervention in people with mild to moderate multiple sclerosis: a randomised controlled feasibility study. Contemporary Clinical Trials2013; Vol. 35, issue 2:40‐7.

Castellano 2008 {published data only}

Castellano V, White LJ. Serum brain‐derived neurotrophic factor response to aerobic exercise in multiple sclerosis. Journal of Neurological Sciences. 2008/02/16 2008; Vol. 269, issue 1‐2:85‐91.

Cattaneo 2007 {published data only}

Cattaneo D, Jonsdottir J, Zocchi M, Regola A. Effects of balance exercises on people with multiple sclerosis: a pilot study. Clinical Rehabilitation. 2007/09/19 2007; Vol. 21, issue 9:771‐81.

Claerbout 2012 {published data only}

Claerbout M, Gebara B, Ilsbroukx S, Verschueren S, Peers K, Van Asch P, et al. Effects of 3 weeks' whole body vibration training on muscle strength and functional mobility in hospitalized persons with multiple sclerosis. Multiple Sclerosis. 2011/11/16 2012; Vol. 18, issue 4:498‐505.

Dalgas 2009 {published data only}

Dalgas U, Stenager E, Jakobsen J, Petersen T, Hansen HJ, Knudsen C, et al. Resistance training improves muscle strength and functional capacity in multiple sclerosis. Neurology. 2009/11/04 2009; Vol. 73, issue 18:1478‐84.

DeBolt 2004 {published data only}

DeBolt LS, McCubbin JA. The effects of home‐based resistance exercise on balance, power, and mobility in adults with multiple sclerosis. Archives of Physical Medicine and Rehabilitation. 2004/02/18 2004; Vol. 85, issue 2:290‐7.

Fimland 2010 {published data only}

Fimland MS, Helgerud J, Gruber M, Leivseth G, Hoff J. Enhanced neural drive after maximal strength training in multiple sclerosis patients. European Journal of Applied Physiology. 2010/06/01 2010; Vol. 110, issue 2:435‐43.

Gosselink 2000 {published data only}

Gosselink R, Kovacs L, Ketelaer P, Carton H, Decramer M. Respiratory muscle weakness and respiratory muscle training in severely disabled multiple sclerosis patients. Archives of Physical Medicine and Rehabilitation. 2000/06/17 2000; Vol. 81, issue 6:747‐51.

Grossman 2010 {published data only}

Grossman P, Kappos L, Gensicke H, D'Souza M, Mohr DC, Penner I K, et al. MS quality of life, depression, and fatigue improve after mindfulness training: a randomized trial. Journal of Neurology 2010;75(13):1141‐9.

Guerra 2014 {published data only}

Guerra E, di Cagno A, Mancini P, Sperandii F, Quaranta F, Ciminelli E, et al. Physical fitness assessment in multiple sclerosis patients: a controlled study. Research in Developmental Disabilities 2014;35(10):2527‐33. [PUBMED: 25000308]

Heesen 2003 {published data only}

Heesen C, Gold SM, Hartmann S, Mladek M, Reer R, Braumann KM, et al. Endocrine and cytokine responses to standardized physical stress in multiple sclerosis. Brain, Behavior, and Immunity. 2003/10/30 2003; Vol. 17, issue 6:473‐81.

Hilgers 2013 {published data only}

Hilgers C, Mundermann A, Riehle H, Dettmers C. Effects of whole‐body vibration training on physical function in patients with multiple sclerosis. NeuroRehabilitation. 2013/05/08 2013; Vol. 32, issue 3:655‐63.

Hojjatollah 2012 {published data only}

Hojjatollah NB, Khosrow E, Reza RS, Monire MN. Effects of selected combined training on muscle strength in multiple sclerosis patients. HealthMED2012; Vol. 6, issue 1:96‐102.

Jackson 2008 {published data only}

Jackson KJ, Merriman HL, Vanderburgh PM, Brahler CJ. Acute effects of whole‐body vibration on lower extremity muscle performance in persons with multiple sclerosis. Journal of Neurological Physical Therapy. 2009/03/07 2008; Vol. 32, issue 4:171‐6.

Keser 2011 {published data only}

Keser I, Meric A, Kirdi N, Kurne A, Karabudak R. Comparing routine neurorehabilitation programme with callisthenic exercises in multiple sclerosis. NeuroRehabilitation. 2011/08/31 2011; Vol. 29, issue 1:91‐8.

Keser 2013 {published data only}

Keser I, Kirdi N, Meric A, Kurne AT, Karabudak R. Comparing routine neurorehabilitation program with trunk exercises based on Bobath concept in multiple sclerosis: pilot study. Journal of Rehabilitation Research and Development. 2013/03/22 2013; Vol. 50, issue 1:133‐40.

Marandi 2013a {published data only}

Marandi SM, Shahnazari Z, Minacian V, Zahed A. A comparison between pilates exercise and aquatic training effects on muscular strength in women with multiple sclerosis. Pakistan Journal of Medical Sciences 2013;29(1 Suppl):285‐9.

Marandi 2013b {published data only}

Marandi SM, Nejad VS, Shanazari Z, Zolaktaf V. A comparison of 12 weeks of pilates and aquatic training on the dynamic balance of women with multiple sclerosis. International Journal of Preventive Medicine 2013;4(Suppl 1):S110‐7.

McAuley 2007 {published data only}

McAuley E, Motl RW, Morris KS, Hu L, Doerksen SE, Elavsky S, et al. Enhancing physical activity adherence and well‐being in multiple sclerosis: a randomised controlled trial. Multiple Sclerosis. 2007/06/06 2007; Vol. 13, issue 5:652‐9.

Miller 2011 {published data only}

Miller L, Paul L, Mattison P, McFadyen A. Evaluation of a home‐based physiotherapy programme for those with moderate to severe multiple sclerosis: a randomized controlled pilot study. Clinical Rehabilitation 2011;25(8):720‐30.

Mutluay 2007 {published data only}

Mutluay FK, Demir R, Ozyilmaz S, Caglar AT, Altintas A, Gurses HN. Breathing‐enhanced upper extremity exercises for patients with multiple sclerosis. Clinical Rehabilitation2007; Vol. 21, issue 7:595‐602.

Nilsagard 2013 {published data only}

Nilsagard YE, Forsberg AS, von Koch L. Balance exercise for persons with multiple sclerosis using Wii games: a randomised, controlled multi‐centre study. Multiple Sclerosis. 2012/06/08 2013; Vol. 19, issue 2:209‐16.

Patti 2003 {published data only}

Patti F, Ciancio MR, Cacopardo M, Reggio E, Fiorilla T, Palermo F, et al. Effects of a short outpatient rehabilitation treatment on disability of multiple sclerosis patients ‐ a randomised controlled trial. Journal of Neurology2003; Vol. 250, issue 7:861‐6.

Paul 2014 {published data only}

Paul L, Coulter EH, Miller L, McFadyen A, Dorfman J, Mattison GG. Web‐based physiotherapy for people moderately affected with multiple sclerosis; quantitative and qualitative data from a randomized, controlled pilot study. Clinical Rehabilitation 2014;28(9):924‐35.

Rasova 2006 {published data only}

Rasova K, Havrdova E, Brandejsky P, Zalisova M, Foubikova B, Martinkova P. Comparison of the influence of different rehabilitation programmes on clinical, spirometric and spiroergometric parameters in patients with multiple sclerosis. Multiple Sclerosis. 2006/04/25 2006; Vol. 12, issue 2:227‐34.

Rodrigues 2008 {published data only}

Rodrigues IF, Nielson MBP, Marinho AR. Evaluation of the physical therapy on the balance and on the quality of life in multiple sclerosis patients. Revista Neurosciecias 2008;16(4):269‐74.

Romberg 2005 {published data only}

Romberg A, Virtanen A, Ruutiainen J. Long‐term exercise improves functional impairment but not quality of life in multiple sclerosis. Journal of Neurology 2005;252(7):839‐45.

Schwartz 2012 {published data only}

Schwartz I, Sajin A, Moreh E, Fisher I, Neeb M, Forest A, et al. Robot‐assisted gait training in multiple sclerosis patients: a randomized trial. Multiple Sclerosis 2012;18(6):881‐90.

Shanazari 2013 {published data only}

Shanazari Z, Marandi SM, Minasian V. Effect of 12‐week pilates and aquatic training on fatigue in women with multiple sclerosis. Journal of Mazandaran University of Medical Sciences 2013;23(98):257‐64.

Solari 1999 {published data only}

Solari A, Filippini G, Gasco P, Colla L, Salmaggi A, La Mantia L, et al. Physical rehabilitation has a positive effect on disability in multiple sclerosis patients. Journal of Neurology 1999;52(1):57‐62.

Stephens 2001 {published data only}

Stephens J, DuShuttle D, Hatcher C, Shmunes J, Slaninka C. Use of awareness through movement improves balance and balance confidence in people with multiple sclerosis: a randomized controlled study. Journal of Neurological Physical Therapy2001; Vol. 25, issue 2:39‐49.

References to studies awaiting assessment

Pazokian 2013 {published data only}

Pazokian M, Shaban M, Zakermoghdam M, Mehran A, Sangelagi B. A comparison between the effect of stretching with aerobic and aerobic exercises on fatigue level in multiple sclerosis patients. Qom University of Medical Sciences Journal 2013;7(1):8.

Summers 2000 {published data only}

Summers L. The Effects of Resistance Exercise on Lower Extremity Power in Women with Multiple Sclerosis. Oregon State University, 2000.

Ahlberg 2003

Ahlberg K, Ekman T, Gaston‐Johansson F, Mock V. Assessment and management of cancer‐related fatigue in adults. Lancet 2003;362(9384):640‐50.

Andreasen 2011

Andreasen AK, Stenager E, Dalgas U. The effect of exercise therapy on fatigue in multiple sclerosis. Multiple Sclerosis 2011;17(9):1041‐54.

Asano 2009

Asano M, Dawes DJ, Arafah A, Moriello C, Mayo NE. What does a structured review of the effectiveness of exercise interventions for persons with multiple sclerosis tell us about the challenges of designing trials?. Multiple Sclerosis 2009;15(4):412‐21.

Chaudhuri 2004

Chaudhuri A, Behan PO. Fatigue in neurological disorders. Lancet 2004;363(9413):978‐88.

Cohen 1977

Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd Edition. New York: Academic Press, 1977.

Cooke 2006

Cooke SF, Bliss TV. Plasticity in the human central nervous system. Brain 2006;129(7):1659‐73.

Cooney 2013

Cooney GM, Dwan K, Greig CA, Lawlor DA, Rimer J, Waugh FR, et al. Exercise for depression. Cochrane Database of Systematic Reviews 2013, Issue 9. [DOI: 10.1002/14651858.CD004366.pub6]

Cramer 2014

Cramer H, Lauche R, Azizi H, Dobos G, Langhorst J. Yoga for multiple sclerosis: a systematic review and meta‐analysis. PLoS One 2014;9(11):e112414.

Dalgas 2008

Dalgas U, Stenager E, Ingemann‐Hansen T. Multiple sclerosis and physical exercise: recommendations for the application of resistance‐, endurance‐ and combined training. Multiple Sclerosis 2008;14(1):35‐53.

Deeks 2011

Deeks JJ, Higgins JPT, Altman DG. Chapter 9: Analysing data and undertaking meta‐analyses. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Egger 1997

Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta‐analysis detected by a simple, graphical test. BMJ 1997;315(7109):629‐34.

Elbers 2012

Elbers RG, Rietberg MB, van Wegen EE, Verhoef J, Kramer SF, Terwee CB, et al. Self‐report fatigue questionnaires in multiple sclerosis, Parkinson's disease and stroke: a systematic review of measurement properties. Quality of Life Research 2012;21(6):925‐44.

Fisk 1994

Fisk JD, Ritvo PG, Ross L, Haase DA, Marrie TJ, Schlech WF. Measuring the functional impact of fatigue: initial validation of the fatigue impact scale. Clinical Infectious Diseases 1994;18(Suppl 1):S79‐83.

Garber 2011

Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Medical Science in Sports & Exercise 2011;43(7):1334‐59.

Gottschalk 2005

Gottschalk M, Kumpfel T, Flachenecker P, Uhr M, Trenkwalder C, Holsboer F, et al. Fatigue and regulation of the hypothalamo‐pituitary‐adrenal axis in multiple sclerosis. Archives of Neurology 2005;62(2):277‐80.

Higgins 2011a

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Higgins 2011b

Higgins JPT, Altman DG, Sterne JAC. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Higgins 2011c

Higgins JPT, Deeks JJ, Altman DG. Chapter 16: Special topics in statistics. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org..

Kehoe 2014

Kehoe M, Saunders J, Jakeman P, Coote S. Predictors of the physical impact of multiple sclerosis following community‐based, exercise trial. Multiple Sclerosis Journal 2014;21(5):590‐8.

Kjølhede 2012

Kjølhede T, Vissing K, Dalgas U. Multiple sclerosis and progressive resistance training: a systematic review. Multiple Sclerosis 2012;18(9):1215‐28.

Koch‐Henriksen 2010

Koch‐Henriksen N, Sorensen PS. The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurology 2010;9(5):520‐32.

Krupp 1989

Krupp LB, LaRocca NG, Muir‐Nash J, Steinberg AD. The Fatigue Severity Scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives of Neurology 1989;46(10):1121‐3.

Latimer‐Cheung 2013

Latimer‐Cheung AE, Pilutti LA, Hicks AL, Martin Ginis KA, Fenuta AM, MacKibbon KA, et al. Effects of exercise training on fitness, mobility, fatigue, and health‐related quality of life among adults with multiple sclerosis: a systematic review to inform guideline development. Archives of Physical Medicine and Rehabilitation 2013;94(9):1800‐28.

Learmonth 2013

Learmonth YC, Dlugonski D, Pilutti LA, Sandroff BM, Klaren R, Motl RW. Psychometric properties of the Fatigue Severity Scale and the Modified Fatigue Impact Scale. Journal of Neurological Sciences 2013;331(1‐2):102‐7.

Maher 2003

Maher CG, Sherrington C, Herbert RD, Moseley AM, Elkins M. Reliability of the PEDro scale for rating quality of randomized controlled trials. Physical Therapy 2003;83(3):713‐21.

McDonald 2001

McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International panel on the diagnosis of multiple sclerosis. Annals of Neurology 2001;50(1):121‐7.

Mills 2009

Mills R, Young C, Nicholas R, Pallant J, Tennant A. Rasch analysis of the Fatigue Severity Scale in multiple sclerosis. Multiple Sclerosis 2009;15(1):81‐7.

Mills 2010

Mills RJ, Young CA, Pallant JF, Tennant A. Rasch analysis of the Modified Fatigue Impact Scale (MFIS) in multiple sclerosis. Journal of Neurology, Neurosurgery & Psychiatry 2010;81(9):1049‐51.

Motl 2008

Motl RW, Gosney JL. Effect of exercise training on quality of life in multiple sclerosis: a meta‐analysis. Multiple Sclerosis 2008;14(1):129‐35.

Motl 2012

Motl RW, Pilutti LA. The benefits of exercise training in multiple sclerosis. Nature Review Neurology 2012;8(9):487‐97.

Motl 2013

Motl RW. Physical activity in MS: theory, determinants, and behavioral interventions. Multiple Sclerosis. 2013; Vol. 19 (S1):40.

MS Council 1998

Multiple Sclerosis Council for Clinical Practice Guidelines. Fatigue and Multiple Sclerosis: Evidence‐Based Management Strategies for Fatigue in Multiple Sclerosis. Washington: DC Paralyzed Veterans of America, 1998.

Nuesch 2010

Nuesch E, Trelle S, Reichenbach S, Rutjes AW, Tschannen B, Altman DG, et al. Small study effects in meta‐analyses of osteoarthritis trials: meta‐epidemiological study. BMJ 2010;341:c3515. [PUBMED: 20639294]

Olascoaga 2010

Olascoaga J. Quality of life and multiple sclerosis [Calidad de vida y esclerosis multiple]. Revista de Neurologia 2010;51(5):279‐88.

Packer 1995

Packer T, Brink N, Sauriol A. Managing Fatigue: A Six‐Week Course for Energy Conservation. Tucson, Arizona: Therapy Skill Builders, 1995.

Pilutti 2013

Pilutti LA, Greenlee TA, Motl RW, Nickrent MS, Petruzzello SJ. Effects of exercise training on fatigue in multiple sclerosis: a meta‐analysis. Psychosomatic Medicine 2013;75(6):575‐80.

Pilutti 2014

Pilutti LA, Platta ME, Motl RW, Latimer‐Cheung AE. The safety of exercise training in multiple sclerosis: a systematic review. Journal of the Neurological Sciences 2014;343:3‐7.

Polman 2005

Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria". Annals of Neurology 2005;58(6):840‐6.

Polman 2011

Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Annals of Neurology 2011;69(2):292‐302.

Poser 1983

Poser CM, Paty DW, Scheinberg L, McDonald WI, Davis FA, Ebers GC, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Annals of Neurology 1983;13(3):227‐31.

RevMan 2014 [Computer program]

The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Rietberg 2005

Rietberg MB, Brooks D, Uitdehaag BM, Kwakkel G. Exercise therapy for multiple sclerosis. Cochrane Database of Systematic Reviews 2005, Issue 1. [DOI: 10.1002/14651858.CD003980.pub2]

Rietberg 2010

Rietberg MB, Van Wegen EE, Kwakkel G. Measuring fatigue in patients with multiple sclerosis: reproducibility, responsiveness and concurrent validity of three Dutch self‐report questionnaires. Disability and Rehabilitation 2010;32(22):1870‐6.

Schulz 2010

Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. PLoS Medicine 2010;7(3):e1000251.

Schumacher 1965

Schumacher GA, Beebe G, Kibler RF, Kurland LT, Kurtzke JF, McDowell F, et al. Problems of experimental trials of therapy in multiple sclerosis: report by the panel on the evaluation of experimental trials of therapy in multiple sclerosis. Annals of the New York Academy of Sciences 1965;122:552‐68.

Smets 1995

Smets EM, Garssen B, Bonke B, De Haes JC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research 1995;39(3):315‐25.

Vickrey 1995

Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW. A health‐related quality of life measure for multiple sclerosis. Quality of Life Research 1995;4(3):187‐206.

Ware 1992

Ware JE, Sherbourne CD. The MOS 36‐item Short‐Form Health Survey (SF‐36). I. Conceptual framework and item selection. Medical Care 1992;30(6):473‐83.

Webster's New World Dictionary 1982

Guralnik DB. Webster's New World Dictionary. New York: Simon and Schuster, 1982.

White 2008a

White LJ, Castellano V. Exercise and brain health ‐ implications for multiple sclerosis: part 1 ‐ neuronal growth factors. Sports Medicine 2008;38(2):91‐100.

White 2008b

White LJ, Castellano V. Exercise and brain health ‐ implications for multiple sclerosis: part II ‐ immune factors and stress hormones. Sports Medicine 2008;38(3):179‐86.

White 2011

White PD, Goldsmith KA, Johnson AL, Potts L, Walwyn R, DeCesare JC, et al. Comparison of adaptive pacing therapy, cognitive behaviour therapy, graded exercise therapy, and specialist medical care for chronic fatigue syndrome (PACE): a randomised trial. Lancet 2011;377(9768):823‐36.

WHO 2008

World Health Organization. MS Atlas. Geneva: World Health Organization, 2008.

WHO 2012

World Health Organization. International classification of functioning, disability and health (ICF). www.who.int/classifications/icf/en/ (accessed 9 April 2015).

Wynia 2008

Wynia K, Middel B, Van Dijk JP, De Keyser JH, Reijneveld SA. The impact of disabilities on quality of life in people with multiple sclerosis. Multiple Sclerosis 2008;14(7):972‐80.

Zajicek 2010

Zajicek JP, Ingram WM, Vickery J, Creanor S, Wright DE, Hobart JC. Patient‐orientated longitudinal study of multiple sclerosis in south west England (The South West Impact of Multiple Sclerosis Project, SWIMS) 1: protocol and baseline characteristics of cohort. BMC Neurology 2010;10:88.

Zedlitz 2012

Zedlitz AM, Rietveld TC, Geurts AC, Fasotti L. Cognitive and graded activity training can alleviate persistent fatigue after stroke: a randomized, controlled trial. Stroke 2012;43(4):1046‐51.

References to other published versions of this review

Heine 2012

Heine M, Rietberg MB, van Wegen EEH, Port IVD, Kwakkel G. Exercise therapy for fatigue in multiple sclerosis. Cochrane Database of Systematic Reviews 2012, Issue 7. [DOI: 10.1002/14651858.CD009956]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Ahmadi 2013

Methods

Design: random assignment to aerobic treadmill training (AT), yoga (Y) or a wait‐list control (NEX)

Setting: physiotherapy clinic, Iran

Categorization: AT = endurance, Y = other

Participants

n = 31; AT = 10, Y = 11, NEX = 10

Inclusion criteria: physician diagnosis MS, self reported EDSS 1 >< 4.0, able to walk a treadmill > 5 minutes at stable speed, no physical activity in the last 3 months

Exclusion criteria: cardiovascular disease, liver or kidney failure, lung disease, diabetes, thyroid disorder, gout or orthopaedic limitations, pregnant, addicted (i.e. smoking)

Type MS: ?

Disease duration (yr) ± SD: AT = 5.6 ± 3.3, Y = 4.7 ± 5.6, NEX = 5.0 ± 3.1

Mean age (yr) ± SD: AT = 36.8 ± 9.2, Y = 32.3 ± 8.7, NEX = 36.7 ± 9.3

% Female: 100%

Mean EDSS ± SD: AT = 2.4 ± 1.2, Y = 2.0 ± 1.1, NEX = 2.3 ± 1.3

Interventions

AT: 8 weeks, 3x per week, 30 minutes physiotherapist‐led treadmill training at 40‐75% of predicted maximal heart rate + 20 minutes of stretching. Comfortable walking speed as starting point, progression directed by participant

Y: 8 weeks, 3x per week, 60‐70 minutes Hatha yoga led by a physiotherapist and neurologist. Hatha yoga included stretching, postures, breathing, and meditation

NEX: wait list control

Outcomes

FSS, BDI, BAI, BBS, 10MWT, 2MWT (walking speed, walking endurance)

Notes

Drop‐outs

No drop‐outs reported

Measurements

Baseline, 8 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Aydin 2014

Methods

Design: random assignment to supervised hospital‐based callisthenic exercise (EX) OR home‐based callisthenic exercise (Home‐EX)

Setting: outpatient clinic, Iran

Categorization: EX = muscle power, Home‐EX = muscle power

Participants

n = 40; EX = 20, Home‐EX = 20

Inclusion criteria: RRMS, EDSS < 4.5, aged 18‐50 years

Exclusion criteria: acute exacerbation; Ashworth spasticity score > 2.0; thyroid disorder; history of serious psychiatric disorders, alcohol abuse, or other chronic diseases

Type MS: RRMS

Disease duration (yr) ± SD: EX = 6.43 ± 2.78, Home‐EX = 7.40 ± 3.43

Mean age (yr) ± SD: EX = 32.62 ± 3.15, Home‐EX = 33.00 ± 4.06

% Female (n/n group): EX = 9/16, Home‐EX = 11/20

Mean EDSS ± SD: EX = 3.6 ± 1.3, Home‐EX = 3.4 ± 2.1

Interventions

EX: 12 weeks, 5x per week, 60 minutes hospital‐based exercise supervised by a physiatrist. 3 out 5 session/week were callisthenic exercise (60 minutes), 2 out of 5 sessions were relaxation exercises (20 minutes). Callisthenic exercises were focused on the large muscles and were applied rhythmically and in combination with breathing exercises. The callisthenic training sessions consisted of 15 minutes' warming up, 20 minutes' intensive training, 10 minutes' cooling down, and 15 minutes' relaxation

Home‐EX: same as EX yet participants were asked to perform the exercise at home and their exercise schedule was followed by telephone every day

Outcomes

FSS, 10MWT, BBS, MusiQoL, HADS

Notes

Drop‐outs

EX: 2 failure to adapt to exercise, 2 transportation problems

Home‐EX: no drop‐outs

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated numbers

Allocation concealment (selection bias)

Low risk

Concealed allocation procedure

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Drop‐out rate of 10% in the exercise condition, 0 drop‐outs reported in the control condition

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Bansi 2013

Methods

Design: random assignment to Ergometer Land Group (ELG) or Ergometer Water Group (EWG)

Setting: Department of Sports Therapy, Rehabilitationsklinik Valens, Valens, Switzerland

Categorization: ELG = endurance, EWG = endurance

Participants

n = 60; ELG = 30, EWG = 30

Inclusion criteria: EDSS 1.0‐6.5

Exclusion criteria: incontinent, persistent infections, cardiovascular and pulmonary diseases, or immunosuppressive therapy

Type MS: ?

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: ELG = 52 ± 14.2, EWG = 50 ± 14.2

% Female (n/n group): ELG = 18/28, EWG = 17/25

Mean EDSS ± SD: ELG = 4.7 ± 1.5, EWG = 4.6 ± 1.4

Interventions

ELG: 3 weeks, 5x per week; 30‐minute physiotherapist‐led overland ergometry training at 60% of peak oxygen uptake/70% maximal heart rate

EWG: 3 weeks, 5x per week; 30‐minute physiotherapist‐led aquatic training at 70% maximal heart rate corrected for water temperature (‐7 beats per minute). Water temperature at 28°C

Outcomes

FSMC, neurotrophin, cytokines

Notes

Drop‐outs

ELG: 2 immunosuppressive medication during training

EWG: 3 immunosuppressive medication during training, 3 unable to comply with daily time schedule

Measurements

Baseline, 3 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate < 15%, without indications of differences in reasons

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Brichetto 2013

Methods

Design: random assignment to Nintendo® Wii® balance training (EX) or control (NEX)

Setting: Italian Multiple Sclerosis Foundation, Genoa, Italy

Categorization: EX = other

Participants

n = 36; EX = 18, NEX = 18

Inclusion criteria: no relapse < 6 months, EDSS ≤ 6.0, Ambulation Index ≤ 4

Exclusion criteria: psychiatric disorder, blurred vision, severe cognitive impairment

Type MS: ?

Disease duration (yr) ± SD: EX = 11.2 ± 6.4, NEX = 12.3 ± 7.2

Mean age (yr) ± SD: EX = 40.7 ± 11.5, NEX = 43.2 ± 10.6

% Female (n/n group): EX = 10/18, NEX = 12/18

Mean EDSS ± SD: EX = 3.9 ± 1.6, NEX = 4.3 ± 1.6

Interventions

EX: 4 weeks, 3x per week; 1 hour Nintendo® Wii® balance board training. Special focus on soccer heading, skiing, table tilt, snowboarding, tight rope walking, and zazen (relaxation)

NEX: 4 weeks, 3x per week; 1 hour static and dynamic lower body exercise using single and double leg stances with or without an equilibrium board

Outcomes

MFIS, BBS, open and closed eye stabilometry

Notes

Drop‐outs

No drop‐outs reported

Measurements

Baseline, 4 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Biased‐coin randomization procedure

Allocation concealment (selection bias)

Unclear risk

Allocation concealment procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Briken 2014

Methods

Design: random assignment to arm‐cycling (ARM), rowing (ROW), bicycling (BIC), and a control (NEX)

Setting: MS outpatient clinic, Germany

Categorization: ARM = endurance, ROW = endurance, BIC = endurance

Participants

n = 47; ARM = 12, ROW = 12, BIC = 12, NEX = 11

Inclusion criteria: definite secondary‐progressive or primary‐progressive MS, EDSS 4.0‐6.0

Exclusion criteria: contraindications for exercise, start immunomodulatory treatment < 6 months, steroid treatment < 4 weeks, MS relapse < 12 months, abnormal liver or kidney function, immunodeficiency, other serious medical illness or psychiatric, developmental or neurological disorder

Type MS: SPMS and PPMS

Disease duration (yr) ± SD: ARM = 17.1 ± 7.2, ROW = 14.1 ± 6.1, BIC = 13.3 ± 5.4, NEX = 18.9 ± 9.8

Mean age (yr) ± SD: ARM = 49.1 ± 8.5, ROW = 50.9 ± 9.2, BIC = 48.8 ± 6.8, NEX = 50.4 ± 7.6

% Female (n/n group): ARM = 5/10, ROW = 7/11 , BIC = 6/11 , NEX = 6/10

Mean EDSS ± SD: ARM = 5.2 ± 0.9, ROW = 4.7 ± 0.8, BIC = 5.0 ± 0.8, NEX = 4.9 ± 0.9

Interventions

ARM, ROW, and BIC: 8‐10 weeks, 2 or 3 times per week, 15‐45 minutes aerobic training led by licensed physiotherapists at the individual determined aerobic threshold (AT), 120%AT and 130%AT. Aim was to perform 20 training sessions in which the time spent at the higher levels was increased. Only the mode of exercise (i.e. ARM, ROW, or BIC) different between groups

NEX: wait list control

Outcomes

MFIS, VO2peak, 6MWT, SDMT, VLMT, TAP, LPS, RWT, IDS ‐ SR30

Notes

Drop‐outs

ARM: 1, logistics + 1 did not receive allocated intervention

ROW: 1, unrelated injury

BIC: 1, fatigued

NEX: 1, lost to follow‐up

Measurements

Baseline, 8‐10 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Automated biased coin procedure

Allocation concealment (selection bias)

Low risk

Randomization after determining eligibility

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 10%, equally balanced across groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Burschka 2014

Methods

Design: Random assignment to Tai Chi (EX) or treatment as usual (NEX)

Setting: Department of neurology, Bayreuth, Germany

Categorization: EX = other

Participants

n = 38; EX = 21, NEX = 17

Inclusion criteria: diagnosis of any type of MS, able to walk without a walking aid, EDSS < 5, relapse‐free < 4 weeks

Exclusion criteria: severe cognitive impairment

Type MS: RRMS, SPMS, and clinically isolated syndrome (n = 1)

Disease duration (yr) ± SD: EX = 6.0 ± 4.7, NEX = 7.8 ± 6.8

Mean age (yr) ± SD: EX = 42.6 ± 9.4, NEX = 43.6 ± 8.0

%Female (n/n group): EX = 10/15, NEX = 12/17

Median EDSS (range): EX = 2 (1‐4), NEX = 4 (1‐4.5)

Interventions

EX: 6 months, 1x per week, 90 minutes of centre‐based, structured, compact Tai Chi. The Tai Chi programme was based on the Yang‐style 10‐form. Exercises were structured so that during each session of the course, the same essential elements were repeated

NEX: treatment as usual

Outcomes

FSMC, balance, co‐ordination, CES‐D, QLS

Notes

Drop‐outs

EX: 5 time constraints, 1 health problems

Measurements

Baseline, 6 months

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Assignment to EX or NEX was based on participants' weekday preference

Allocation concealment (selection bias)

High risk

Unconcealed allocation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Drop‐out rate in EX group was 29%, no drop‐outs reported in the control condition. In the EX group, adherence varied between 15 and 44 out of 50 classes offered

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

There was an apparent (yet non‐significant) difference in the disease severity and baseline fatigue scores between the EX and NEX group

Cakt 2010

Methods

Design: random assignment to progressive resistance training group (PRT), home‐based resistance training (EX), or control (NEX)

Setting: rehabilitation clinic, Ankara, Turkey

Categorization: PRT = muscle power, EX = muscle power

Participants

n = 45; PRT = 15, EX = 15, NEX = 15

Inclusion criteria: definite RRMS or SPMS, EDSS ≤ 6.0 stand upright > 4 seconds, no steroid or immunosuppressive therapy (or both) < 1 month

Exclusion criteria: severe MS, acute exacerbation, active physical therapy or regular exercise training programme < 1 month, unable to cycle a static bike, visual involvement or diplopia, high level of spasticity, persistent severe fatigue or depression

Type MS: RRMS or SPMS

Disease duration (yr) ± SD: PRT = 9.2 ± 5.0, EX = 6.2 ± 2.2, NEX = 6.6 ± 2.4

Mean age (yr) ± SD: PRT = 36.4 ± 10.5, EX = 43.0 ± 10.2, NEX = 35.5 ± 10.9

%Female (n/n group): PRT = 9/14, EX = 8/10, NEX = 6/9

Mean EDSS ± SD: ?

Interventions

PRT: 2x per week for 8 weeks; 30 minutes' cycling progressive resistance training, 5 minutes' walking/stretching and 20‐25 minutes' balance exercises supervised by a physiatrist

EX: 2x per week for 8 weeks; home‐based exercise programme consisting of 5 minutes' walking/stretching and 20‐25 minutes' balance exercises

NEX: wait list

Outcomes

FSS, number of relapses, duration of exercise, Wmax, TUG, DGI, FR, FES, 10MWT, BDI, SF‐36

Notes

Drop‐outs

PRT: 1 acute exacerbation

EX : 2 work‐related, 2 acute exacerbation, 1 unknown

NEX: 3 acute exacerbation, 3 unknown

Measurements

Baseline, 8 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random numbers were used

Allocation concealment (selection bias)

Unclear risk

Unclear who performed the randomization procedure

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate was 27%, with a relative higher drop‐out rate in the control (40%) versus the exercise group (combined 20%). However, no indications for differences in reasons between groups

Selective reporting (reporting bias)

Low risk

All introduced outcomes were reported

Other bias

High risk

The PRT intervention included group‐based components

Carter 2014

Methods

Design: random assignment to pragmatic exercise intervention + usual care (EX) or usual care (NEX)

Setting: MS clinic, UK

Categorization: EX = mixed

Participants

n = 120; EX = 60, NEX = 60

Inclusion criteria: clinical diagnosis MS, EDSS 1‐6.5, able to walk 10 metres, aged 18‐65 years, clinically stable, and stable medical treatment < 3 months

Exclusion criteria: structured exercise ≥ 3x per week, ≥ 30 minutes; living ≥ 20 minutes travelling from study centre, co‐morbid conditions precluding exercise participation

Type MS: RRMS, SPMS, and PPMS

Disease duration (yr) ± SD: EX = 8.4 ± 7.4, NEX = 9.2 ± 7.9

Mean age (yr) ± SD: EX = 45.7 ± 9.1, NEX = 46.8 ± 8.4

% Female (n/n group): EX = 43/60, NEX = 43/60

Mean EDSS ± SD: EX = 3.8 ± 1.5, NEX = 3.8 ± 1.5

Interventions

EX: 12 weeks, 3x per week; partly home based with more supervised sessions in the first 6 weeks of the intervention and vice‐versa in the second 6 weeks. Short bouts (5 x 3 minutes) of low to moderate intensity aerobic exercise at 50‐69% of predicted maximal heart rate or 12‐14 on the BORG scale. Participants were encouraged during the intervention period to increase the duration of the bouts or reduce the resting time in between bouts. When appropriate, participants could also perform 6 different resistance exercises using body resistance, light weights, or Therabands. Generally, 1‐3 sets of 20 repetitions based on the participant's level of disability, strength, and stage of the programme. In case of balance or control problems, also balance board and exercise ball work was included. The supervised exercise sessions included also cognitive behavioural techniques to promote long‐term physical activity behaviour

NEX: usual care

Outcomes

MFIS, GLTEQ, Accelerometer, MSQoL‐54, MSFC, 6MWT, EDSS

Notes

Drop‐outs

EX: 2 relapse, 2 ill health, 1 poor adherence, 6 unable to contact

NEX: 1 relapse, 2 ill health, 1 work commitments, 1 no reason give, 5 unable to contact

Measurements

Baseline, 12 weeks, 6 months' follow‐up

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Distant randomization service; minimization according to gender and EDSS. Allocation not disclosed until after baseline measurement

Allocation concealment (selection bias)

Low risk

Independent and off‐site randomization service

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐out rate in the combined exercise group was 17%, in the control group 18%. No indication for differences in reasons

Selective reporting (reporting bias)

Low risk

Study protocol published

Other bias

Low risk

No other sources of bias identified

Castro‐Sanchez 2012

Methods

Design: random assignment to Ai‐Chi aquatic exercise programme (EX) or control group (NEX)

Setting: Multiple Sclerosis Association of Almeria, Almeria, Spain

Categorization: EX = other

Participants

n = 73; EX = 36, NEX = 37

Inclusion criteria: diagnosis MS, aged 18‐75 years, VAS pain score > 4 for at least two months, EDSS ≤ 7.5

Exclusion criteria: treatment with other complementary and alternative medicine ≤ 3 months, relapse requiring hospitalization or steroid treatment ≤ 2 months

Type MS: ?

Disease duration (yr) ± SD: EX = 10.7 ± 9.1, NEX = 11.9 ± 8.7

Age (yr): EX = 46 ± 9.97, NEX = 50 ± 12.31

% Female (n/n group): EX = 26/36, NEX = 24/37

Mean EDSS ± SD: EX = 6.3 ± 0.8, NEX = 5.9 ± 0.9

Interventions

EX: Ai‐Chi exercise programme (20 weeks, 2x per week, 60 minutes per session) in shoulder‐depth 36°C water; consisting of 16 different slow and broad movements of the arms, legs, and torso to work on balance, strength, relaxation, flexibility, and breathing. Each physiotherapist‐led session began and ended with 10 minutes of relaxation. During the course of each session relaxing tai‐chi music was played

NEX: 20 weeks, 2x per week, 60 minutes per session led by a physiotherapist identical to the 10‐minute relaxation (breathing, contraction ‐ relaxation) periods of the intervention group yet in a therapy room (26°C), on an exercise mat without ambient music

Outcomes

FSS, MFIS, number of relapses, pain (VAS), MPQ‐PRI, MPQ‐PPI, RMDQ, spasm (VAS), MSIS‐29, BDI, BI

Notes

Drop‐outs

NEX: 2 relapsed

Measurements

Baseline, 20 weeks, 24 weeks, 30 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random list

Allocation concealment (selection bias)

Low risk

Participants were randomly assigned by a blinded researcher

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐out rate was 3%

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

Large proportion of participants with unknown disease course despite 'a definite diagnosis of MS' as inclusion criterion

Collett 2011

Methods

Design: random assignment to continuous (CON), intermittent (INT), or mixed endurance training (CB)

Setting: Oxford Brookes University and at 4 community leisure centres, London, UK

Categorization: CON = endurance, INT = endurance, CB = endurance

Participants

n = 61; CON = 20, INT = 18, CB = 20

Inclusion criteria: none

Exclusion criteria: medical condition precluding safe exercise, unable to walk 2 minutes, unable to sit 60 seconds on cycling ergometer and pedal 60 seconds with no resistance

Type MS: RRMS, SPMS, PPMS and unknown

Disease duration (yr) ± SD: CON = 15 ± 8, INT = 11 ± 7, CB = 12 ± 11

Mean age (yr) ± SD: CON = 52 ± 8, INT = 50 ± 10, CB = 55 ± 10

% Female (n/n group): CON = 16/20, INT = 14/18, CB = 9/17

Mean EDSS ± SD: ?

Interventions

CON: 12 weeks, 2x per week; 20 minutes supervised continuous endurance training at 45% of maximal power

INT: 12 weeks, 2x per week; 20 minutes of supervised intermittent endurance training consisting of 30 seconds at 90% maximal power, 30 seconds rest

CB: 12 weeks, 2x per week; 20 minutes of supervised intermittent (10 minutes) endurance training followed by continuous endurance training (10 minutes)

Outcomes

FSS, 2MWT, TUG, leg extensor power, BI, SF‐36

Notes

Drop‐outs

CON: no drop‐outs

INT: 1 loss of consciousness during intervention, 1 exacerbation of symptoms, 1 knee pain during cycling, 1 leg pain during cycling

CB: 1 exacerbation of knee injury, 1 leg pain during cycling

Measurements

Baseline, 6 weeks, 12 weeks (post‐intervention), 24 weeks (follow‐up)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated randomization list

Allocation concealment (selection bias)

Low risk

Central randomization by statistician

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate 10%, unequally balanced in favour of the continuous exercise protocol versus the intermittent and combined protocol

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Coote 2015

Methods

Design: random assignment to progressive resistance training (PRT) or progressive resistance training augmented by neuromuscular electrical stimulation (NMES)

Setting: MS Society, Ireland

Categorization: PRT = muscle power, NMES = muscle power

Participants

n = 37; PRT = 18, NMES = 19

Inclusion criteria: definite MS, use of walking aid most of the time, and could walk at least 10 metres unaided

Exclusion criteria: contraindications to electrical stimulation, had participated in an exercise programme < 1 month, relapse or steroid treatment < 3 months

Type MS: RRMS, PPMS, SPMS, benign, unknown

Disease duration (yr) ± SD: PRT = 12.2 ± 4, NMES = 11.8 ± 5.5

Mean age (yr) ± SD: PRT = 51.8 ± 12.1, NMES = 51.8 ± 12.6

% Female (n/n group): PRT = 6/10, NMES = 11/15

Mean EDSS ± SD: ?

Interventions

PRT: 12 weeks, 2x per week for weeks 1‐6, 3x per week for week 7‐12. The programme consisted of 6 lower limb exercises performed in the home environment. Participants progressed from 1 set of 12 repetitions to 3 sets of 12 repetitions. Once 3 sets of 12 repetitions could be completed, free‐weights in the hands, around the ankle, or in a backpack were added in increments of 0.5 or 1 kg as advised during weekly telephone calls. Rest period of 2‐3 minutes between sets were advised

NMES: participants in the NMES group followed the same PRT programme while wearing The Kneehab®. The Kneehab® is a synthetic garment that consists of 4 electrodes strategically placed to activate the quadriceps muscle through a novel Multipath® system. It is placed on the thigh and attached using Velcro fastenings. The pre‐set programme parameters used were a frequency of 50 Hz, on/off time 5/10 seconds, ramp up/down of 1/0.5 seconds. Participants were encouraged to use the highest tolerable intensity

Outcomes

MFIS, muscle strength and endurance, VAS lower limb spasticity, TUG, MSWS‐12, BBS, MSIS29v2

Notes

Drop‐outs

PRT: 3 relapse, 2 musculoskeletal injury, 2 MS‐related fatigue, 1 non‐compliance

NMES: 2 muscle spasm with device use, 1 non‐compliance, 1 medical problem

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

60 randomizations were generated by repeatedly drawing cards from a pool of 3 PRT and 3 NMES cards

Allocation concealment (selection bias)

Low risk

'The sequence of allocation was concealed from all study personnel'

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate was 32%, with indications for differences in reasons

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other bias identified

Dalgas 2010

Methods

Design: random assignment to progressive resistance training (EX) or control (NEX) stratified by gender

Setting: outpatients MS Clinic, Aarhus University Hospital, Aarhus, Denmark

Categorization: EX = muscle power

Participants

n = 38; EX = 19, NEX = 19

Inclusion criteria: definite RRMS according to McDonald criteria, EDSS 3.0 ≥ ≤ 5.5; pyramid function score ≥ 2.0, ability to walk ≥ 100 metres, no help with transportation to training facility, aged > 18 years, acceptation of diagnosis and treatment

Exclusion criteria: serious medical co‐morbidities, MS attack < 2 months, pregnant, systematic resistance training < 3 months

Type MS: RRMS

Disease duration (yr) ± SD: EX = 6.6 ± 5.9, NEX = 8.1 ± 6.0

Mean age (yr) ± SD: EX = 47.7 ± 10.4 NEX = 49.1 ± 8.4

% Female (n/n group): EX = 10/15, NEX = 10/16

Mean EDSS ± SD: EX = 3.7 ± 0.9, NEX = 3.9 ± 0.9

Interventions

EX: progressive resistance training (PRT) programme (12 weeks, 2x per week). 5 minutes warm‐up on stationary bike followed by leg press, knee extension, hip flexion, hamstring curl, and hip extension exercises. Progression was achieved by decreasing the repetition maximum (15RM ‐ 8RM) and varying the number of sets (3 or 4) and repetitions (8‐12). Between sets and exercises 2‐3 minutes of rest was allowed. All sessions were supervised and in groups of 2‐4 participants

NEX: no training; training programme offered at completion of trial

Outcomes

FSS, MFI‐20 (sub‐scales), MDI, SF‐36 (PCS, MCS), muscle strength, functional capacity

Notes

Drop‐outs

EX: 1 lower back problems, 1 sick relative, 1 personal problems, 1 lack of time

NEX: 1 personal problems, 1 broken arm, 1 problems with psoriasis

Measurements

Baseline, 12 weeks, 24 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information on sequence generation provided

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 18%, equally balanced across the exercise group (21%) and control group (16%). No indication for differences in reasons or reasons related to the exercise condition. Adherence to exercise regimen > 80%

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

Imbalance in attention between NEX and EX

Dettmers 2009

Methods

Design: random assignment to endurance training (EX) and control treatment (NEX)

Setting: inpatient rehabilitation unit, Schmieder Konstanz clinic, Konstanz, Germany

Categorization: EX = endurance

Participants

n = 30; EX = 16 (see drop‐outs), NEX = 15

Inclusion criteria: mild to moderate MS (EDSS < 4.5), complained of fatigue, walking distance < 2500 metres

Exclusion criteria: serious leg weakness (degree of paresis < 4), ataxia at rest, spasticity at rest, relapse < 3 months, corticosteroid treatment < 3 months, prominent cognitive deficits, major depression, insufficient motivation for additional training

Type MS: RRMS, SPMS, PPMS

Disease duration (yr) ± SD: EX = 8.0 ± 5.9, NEX = 6.1 ± 4.3

Mean age (yr) ± SD: EX = 45.8 ± 7.9, NEX = 39.7 ± 9.1

% Female (n/n group): EX = 10/15, NEX = 11/15

Mean EDSS ± SD: EX = 2.6 ± 1.2, NEX = 2.8 ± 0.7

Interventions

EX: 3 weeks, 3x per week, 45 minutes per session. Warming up, mild strength training, repetitive endurance exercise followed by relaxation and feedback. All sessions were supervised and playful elements were introduced to camouflage training difficulties

NEX: 3 weeks, 3x per week, 45 minutes per session. Warming up, sensory training, stretching, balance, co‐ordination training, and periods of relaxation

Outcomes

MFIS, FSMC, maximal walking distance, relative walking ability, BDI, HAQUAMS

Notes

Drop‐outs

EX: 1 training too demanding; replaced by a newly recruited 16th participant

Measurements

Baseline, 3 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Random order list

Allocation concealment (selection bias)

Unclear risk

Allocation concealment procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

6% drop‐out rate in the exercise condition. However, only 19 of 30 forms completed at discharge (63%)

Selective reporting (reporting bias)

High risk

No point and variance measures reported

Other bias

Low risk

No other sources of bias identified

Dodd 2011

Methods

Design: random assignment to group progressive resistance training programme (EX) or usual care in combination with a social programme (NEX); stratified by ambulation index score

Setting: MS outpatient clinic, Victoria, Australia

Categorization: EX = muscle power

Participants

n = 76; EX = 39, NEX = 37

Inclusion criteria: aged ≥ 18 years, confirmed RRMS, Ambulation index score of 2, 3, or 4, medical clearance to participate

Exclusion criteria: acute exacerbation < 2 months, benign or progressive/relapsing types of MS, serious unstable medical condition, any concurrent condition, progressive resistance training < 6 months

Type MS: RRMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: EX = 47.7 ± 10.8, NEX = 50.4 ± 9.6

% Female (n/n group): EX = 26/36, NEX = 26/35

Mean EDSS ± SD: ?

Interventions

EX: group PRT programme (10 weeks, 2x per week). Exercise targeted the key lower limb muscles for supporting body weight and for generating and absorbing power during walking (leg press, knee extension, calf raise, leg curl, and reverse leg press). Training intensity was 10‐12 repetitions at 10‐12 repetition maximum. Load was increased if 2 sets of 12 repetitions were completed. 2 minutes rest between each set

NEX: usual care + social programme 1 hour per week

Outcomes

MFIS, MSSS‐88, adverse events, number of relapses, 2MWT, 1RM seated leg press, 1RM reversed leg press, WHOQoL‐BREF

Notes

Drop‐outs

EX: 3 withdrew after allocation (2 experienced relapse but did attend assessment)

NEX: 2 withdrew after allocation, 3 experienced relapse, 1 did not attend at follow‐up

Measurements

Baseline, 10 weeks, 22 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Separate randomization procedure for each stratum using permuted blocks

Allocation concealment (selection bias)

Low risk

Sealed, opaque envelopes made by research co‐ordinator

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate 12%. Not equally balanced across the exercise (8%) and control group (16%); however, no indication for differences in reasons taken into account the 2 participants who did have a relapse but attended the assessment

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Frevel 2015

Methods

Design: internet‐based home training (IBT) versus hippotherapy (HT)

Setting: regional MS groups, Germany

Categorization: IBT = other, HT = other

Participants

n = 18; IBT = 9, HT = 9

Inclusion criteria: definite MS, EDSS 2‐6, aged 18‐60 years, clinically stable < 4 weeks

Exclusion criteria: internal or orthopaedic diseases unrelated to MS, allergy or aversion to horses, previous hippotherapy post‐diagnosis

Type MS: RRMS and SPMS

Disease duration (yr) ± SD: IBT = 16.1 ± 11.3, HT = 22.3 ± 8.3

Mean age (yr) ± SD: IBT = 44.3 ± 8.1, HT = 46.9 ± 7.6

% Female (n/n group): IBT = 7/9, HT = 8/9

Mean EDSS ± SD: IBT = 3.8 ± 1.5, HT = 3.8 ± 1.1

Interventions

IBT: 12 weeks, 2x per week, 45 minutes' balance and strength e‐training; exercise performed on unstable surface in eyes open or closed condition. 5‐8 different exercise, 2‐3 sets, 8‐15 repetitions. BORG 11‐14. Perceived exertion monitored by physical therapist

HT: 12 weeks, 12x per week, 30 minutes' balance exercises by means of horse riding exercises and riding patterns/movements

Outcomes

MFIS, FSS, BBS, DGI, isometric muscle strength, TUG, 2MWT, HAQUAMS

Notes

Drop‐outs

IBT: 1 unable to work with computer

HT: 1 MS relapse

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Drawing lots

Allocation concealment (selection bias)

Low risk

Opaque envelopes were used

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate 11% equally balanced across groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Fry 2007

Methods

Design: random assignment to home‐based inspiratory muscle training (EX) or control (NEX)

Setting: Physical Therapy Department, University of Michigan‐Flint, Flint, Michigan, USA

Categorization: EX = other

Participants

n = 46; EX = 23, NEX = 23

Inclusion criteria: ambulatory, aged ≥ 18 years

Exclusion criteria: acute respiratory infection, oral temperature > 100°F (37.8°C), smoking, cardiac of musculoskeletal condition unrelated to MS

Type MS: RRMS, SPMS, PPMS or primary relapsing MS

Disease duration (yr): ?

Mean age (yr) ± SD: EX = 50 ± 9.1, NEX = 46.2 ± 9.4

% Female (n/n group): EX = 21/23, NEX = 17/23

Mean EDSS ± SD: EX = 3.96 ± 1.80, NEX = 3.36 ± 1.47

Interventions

EX: 10 weeks, daily; 3x 15 repetitions of home‐based Inspiratory muscle training using a Threshold Inspiratory Muscle Trainer. Resistance was adjusted to match a perceived exertion of 15, 16 on the BORG scale

NEX: no intervention; informative telephone call 4, 8, and 10 weeks

Outcomes

FSS, 6MWT, PCI, RPE

Notes

Drop‐outs

2 due to illness unrelated to a neurological exacerbation, 3 no longer wished to participate

Measurements

Baseline, 10 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Randomized by date of enrolment

Allocation concealment (selection bias)

High risk

Researcher could foresee date of enrolment

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Overall drop‐out rate 11%. No information provided on the distribution between groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Gandolfi 2014

Methods

Design: random assignment to robot‐assisted gait training (RAGT) or sensory integration balance training (SIBT)

Setting: outpatient clinic, Neurological Rehabilitation Unit, Italy

Categorization: RAGT = other, SIBT = other

Participants

n = 26; RAGT = 14, SIBT = 12

Inclusion criteria: aged 30‐60 years, EDSS 1.5‐6.5, MMSE > 23, ability to maintain standing position without aids for at least 1 minute and ability to walk independently for at least 15 metres, absence of concomitant neurological or orthopaedic conditions that may interfere with ambulation

Exclusion criteria: any rehabilitation treatment < 1 month, MS relapse < 3 months, pharmacological treatment not well defined or changed during study, presence of paroxysmal vertigo, lower limb botulinum toxin injections < 12 weeks

Type MS: RRMS or SPMS

Disease duration (yr): RAGT = 13.5 ± 7.6, SIBT = 14.9 ± 8.68

Mean age (yr) ± SD: RAGT = 50.83 ± 8.42, SIBT = 50.1 ± 6.29

% Female (n/n group): RAGT = 7/12, SIBT = 9/10

Mean EDSS ± SD: RAGT = 3.96 ± 0.75, SIBT = 4.35 ± 0.67

Interventions

RAGT: 6 weeks, 2x per week, 50‐minute individual sessions of RAGT. The RAGT group was treated by means of the electromechanical Gati Trainer GT1 (Reha‐stim, Berlin, Germany). Participants received 40 minutes of RAGT followed by 10 passive lower limb joint mobilizations and stretching exercises. Each training consisted of 2 x 15‐minute sessions separated by 5 minutes of rest if required. The first session was performed at 20% supported body‐weight and 1.3 km/hour speed; the second sessions at 10% supported body weight and 1.6 km/hour speed

SIBT: 6 weeks, 2x per week, 50‐minute individual sensory integration balance training. Each session consisted of exercises fitting to 3 different levels of difficulty and repeated under 3 different sensory conditions (free vision, wearing a mask, and wearing a helmet). Level I included tasks that induced external destabilization of the centre‐of‐body mass (CoP). Level II included exercises of self destabilization of the CoP. Level III consisted of exercises of external destabilization and exercise of self destabilization of CoP while standing on different types of compliant surfaces. During each treatment session, a total of 10 exercises (3 from level I, 3 from level II and 4 from level III) were repeated 2‐5 times with a 5‐minute period

Outcomes

FSS, spatiotemporal gait parameters, BBS, SOT, stabilometric assessment, MSQoL‐54, ABC

Notes

Drop‐outs

RAGT: 2 difficulties in transportation

SIBT: 2 medical complications

Measurements

Baseline, 6 weeks, 1‐month follow‐up

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

'Simple software‐generated randomisation scheme'

Allocation concealment (selection bias)

Low risk

Randomization by an independent blinded collaborator not involved in the treatment or care of participants

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate 15.4% equally balanced across groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Garrett 2013

Methods

Design: random assignment to physiotherapists‐led exercise (PT), yoga (YG), fitness‐instructor led exercise (FI), or control (NEX)

Setting: Clinical Therapies Department, University of Limerick, Limerick, Ireland

Categorization: PT = mixed, YG = other, FI = mixed

Participants

n = 314; PT = 80, YG = 77, FI = 86, NEX = 71

Inclusion criteria: 0‐2 on the GNDR mobility sub‐scale, aged > 18 years, diagnosis of MS

Exclusion criteria: relapse/steroid treatment < 3 months, pregnant, serious co‐morbidity

Type MS: RRMS, SPMS, PPMS, benign, or unknown

Disease duration (yr): PT = 9.8 ± 7.0, YG = 11.6 ± 8.0, PI = 10.5 ± 6.9, NEX = 10.6 ± 8.2

Mean age (yr) ± SD: PT = 51.7 ± 10.0, YG = 49.6 ± 10.0, PI = 50.3 ± 10.0, NEX = 48.8 ± 11.0

% Female (n/n group): PT = 50/63, YG = 44/63, PI = 45/77, NEX = 43/49

Mean EDSS ± SD: ?

Interventions

PT: 10 weeks, 1x per week; 1‐hour circuit style ‐ body weight/free weight resisted group (6‐8 participants) training. Exercises consisted of, for example: sit to stand, bridging, shoulder flexion, walking, cycling. Classes were supervised by a trained physiotherapist. Difficulty of the exercises was aimed to fail at the 12th repetition. In addition, participants were advised to do aerobic training of choice, 2x per week at 65% HRmax

YG: 10 weeks, 1x per week; 1‐hour sessions led by YG instructors. The YG sessions were not pre‐defined; but consisted of breathing exercise, relaxation, range of motion exercise, and dynamic weight‐bearing poses

FI: 10 weeks, 1x per week; 1‐hour community fitness led by local fitness instructors. The content of the intervention was not pre‐defined

NEX: no change in exercise habits for 10 weeks

Outcomes

MFIS, MSIS‐29v2, 6MWT

Notes

Drop‐outs

PT: 7 health condition, of which 2 relapse, 1 personal factors, 2 environmental factor, 7 unknown

YG: 5 health condition, of which 2 relapse, 3 personal factors, 1 environmental factor, 5 unknown

FI: 7 health condition, of which 3 relapse, 5 personal factors, 7 unknown

NEX: 11 health condition, of which 6 relapse, 6 personal factors, 1 environmental factor, 4 unknown

Measurements

Baseline, 12 weeks (post intervention), 24 weeks follow‐up for intervention groups only

A secondary analysis to predict the response of each therapy on gait function was also published (Kehoe 2014). The results of a second study strand, in more severely disabled people with MS, has been included as a separate study (Hogan 2014)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block randomization per geographical region

Allocation concealment (selection bias)

Low risk

Randomization performed by central co‐ordinator

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate 23% equally balanced across the different exercise conditions.

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Geddes 2009

Methods

Design: random assignment to home walking programme (EX) and no training (NEX)

Setting: Department of Physical Therapy, The George Washington University, Washington, USA

Categorization: EX = task‐oriented

Participants

n = 15; EX = 9, NEX = 6

Inclusion criteria: aged 18‐65 years, diagnosis MS > 1 year, no exacerbation < 6 months, no participation in regular aerobic exercise < 6 months, EDSS ≤ 6.0

Exclusion criteria: cardiovascular, pulmonary, or orthopaedic conditions

Type MS: ?

Disease duration (yr): EX: 3‐30 (information provided for 5 participants), NEX = ?

Age range (yr): EX = 40‐64, NEX = 22‐50

% Female (n/n group): EX = 6/8, NEX = 3/4

Mean EDSS ± SD: ?

Interventions

EX: individualized home walking programme (12 weeks, 3x per week). Training heart rate (THR) range was determined based on 6MWT using the Karvonen formula. Each session consisted of 5 minutes below THR, 15 minutes in THR, and cooling down below THR. Time within THR increased gradually during training programme

NEX: no training, walking programme offered following completion of trial

Outcomes

FSS, 6MWT, PCI, RPE

Notes

Drop‐outs

EX: 1 poor compliance and failure to show at post‐test assessment

NEX: 2 poor compliance and failure to show at post‐test assessment

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomization by coin toss

Allocation concealment (selection bias)

Unclear risk

Unclear who performed coin toss

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 20%, equally balanced across groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

High risk

Small and unevenly distributed sample

Hayes 2011

Methods

Design: random assignment to standard exercise programme plus supplementary resistance training (EX) or standard exercise programme (STD)

Setting: Department of Physical Therapy, University of Utah, Salt Lake City, USA

Categorization: EX = mixed, STD = endurance

Participants

n = 22; EX = 11, STD = 11

Inclusion criteria: definite MS, no exacerbation < 3 months, aged 18‐65 years, ambulatory, impaired gait pattern, no lower extremity joint problems

Exclusion criteria: participation in regular strength training

Type MS: ?

Disease duration (yr) ± SD: EX = 12.5 ± 11.2, STD = 11.8 ± 7.3

Mean age (yr) ± SD: EX = 48.0 ± 11.9, STD = 49.7 ± 10.98

% Female (n/n group): EX = 5/9, STD = 6/10

Mean EDSS ± SD: EX = 5.3 ± 1.0, STD = 5.2 ± 1.0

Interventions

EX: supplementary lower extremity eccentric ergometric resistance training (12 weeks, 3x per week). During the course of the training programme resistance was increased based on perceived exertion (BORG 7/20 ‐ BORG 13/20)

STD: aerobic training, lower extremity stretching, upper extremity strength training, and balance exercises (12 weeks, 3x per week)

Outcomes

FSS, voluntary maximal isometric strength (flexion/extension of knee, hip, dorsi, and sum), TUG, 6MWT, stair test, 10MWT, BBS

Notes

Drop‐outs

EX: 1 difficulty committing to 3x per week schedule

STD: 1 during pre‐testing, 1 discontinued intervention

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information on randomization procedure

Allocation concealment (selection bias)

Unclear risk

Allocation concealment procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 14% equally balanced across the exercise groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other risk of bias identified

Hebert 2011

Methods

Design: random assignment to vestibular rehabilitation (VES), exercise control (EX), or wait‐list control group (NEX); stratified by yes/no involvement of brain stem/cerebellar

Setting: Department of Physical Medicine and Rehabilitation, and Department of Neurology, University of Colorado, Aurora, USA. Medical Campus

Categorization: VES = other, EX = endurance

Participants

n = 38; VES = 12, EX = 13, NEX = 13

Inclusion criteria: definite MS, aged 18‐65 years, able to walk 100 metres with at most a single‐sided device, score ≥ 45/85 on the MFIS, score < 72 on SOT; limited standing balance

Exclusion criteria: unable to walk, use of pharmacological agent that control or cause fatigue, change in MS medication < 3 months, MS‐related relapse < 6 months, other conditions that cause fatigue, impaired or limited upright postural control, participation in a vestibular or endurance exercise programme < 2 months

Type MS: RRMS or SPMS

Disease duration (yr) ± SD: VES = 6.5 ± 5.6, EX = 5.1 ± 3.2, NEX = 9.1 ± 7.3

Mean age (yr) ± SD: VES = 46.8 ± 10.5, EX = 42.6 ± 10.4, NEX = 50.2 ± 9.2

% Female (n/n group): VES = 9/12, EX = 11/13, NEX = 11/13

Mean EDSS ± SD: ?

Interventions

VES: standardized vestibular rehabilitation programme (6 weeks, 2x per week, 55 minutes). In addition, individual exercises were selected and constituted an individualized home training programme (postural control, eye movement). Also 5 minutes of fatigue management education was provided

EX: endurance and stretching exercises (6 weeks, 2x per week); 5 minutes warming up, 2 x 15 minutes at 65‐75% HRpeak, 2‐5 minutes cooling down. In addition, an individualized home training programme (endurance and stretching) at a similar intensity as the supervised programme and 5 minutes of fatigue management education were provided

NEX: wait list control

Outcomes

MFIS, SOT, 6MWT, DHI, BDI

Notes

Drop‐outs

NEX: 1 refused continuation after wait‐list control allocation

Measurements

Baseline (weeks 1, 2, 4), intervention phase (weeks 6, 8, 10), follow‐up phase (weeks 12, 14); not all measures assessed at each occasion

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Low risk

Randomization performed by a clinician not involved in the trial

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐out rate was 3%

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Hogan 2014

Methods

Design: random assignment to group physiotherapy (GP), individual physiotherapy (IP), yoga (Y), or control (C)

Setting: Clinical Therapies Department, University of Limerick, Limerick, Ireland

Categorization: GP = muscle power, IP = muscle power, Y = other

Participants

n (drop‐outs) = 146; GP = 66, IP = 45, Y = 16, C = 19

Inclusion criteria: confirmed diagnosis of MS, GNDS score of 3 or 4

Exclusion criteria: relapse or steroid treatment < 12 weeks, pregnant, aged < 18 years

Type MS: RRMS, SPMS, PPMS, unknown

Disease duration (yr) ± SD: GP = 18 ± 9, IP = 13 ± 8, Y = 15 ± 8, C = 10 ± 3

Mean age (yr) ± SD: GP = 57 ± 10, IP = 52 ± 11, Y = 58 ± 8, C = 49 ± 6

% Female (n/n group): GP = 30/48, IP = 20/35, Y = 8/13, C = 13/15

Mean EDSS ± SD: ?

Interventions

GP: 10 weeks, 1x per week, 1‐hour group physiotherapy. GP was a self paced circuit style class of exercises (sit to stand, squat, heel raises, step‐ups, side stepping, and tandem) that targeted strength and balance with the aim of increasing balance and mobility. The aim was to perform 1 set of 12 repetitions and according to the progression was increased to 3 sets of 12 repetitions

IP: 10 weeks, 1x per week, 1‐hour individual physiotherapy with the same content as the GP

Y: 10 weeks, 1x per week, 1‐hour yoga classes by yoga instructors of the Yoga Federation of Ireland. The content of each yoga class was kept in a diary

C: usual care

Outcomes

MFIS, BBS, 6MWT, MSIS29v2

Notes

Drop‐outs

GP: 1 relapse, 5 unwell at day of measurement, 3 unwell and discontinued intervention, 1 steroids for lower back pain, 2 moved to different study strand, 1 on holiday, 1 requested 1 : 1 treatment, 1 fall, 3 unknown

IP: 2 relapse, 1 unwell at day of measurement, 1 inclement weather, 2 on holidays, 3 moved to different study strand, 1 unknown

Y: 1 discontinued intervention by choice, 2 unknown

C: 2 relapse, 1 rapidly progressing MS, 1 conflicting appointments

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block randomization per geographical region

Allocation concealment (selection bias)

Low risk

Randomization performed by central co‐ordinator

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The overall drop‐out rate was 24%, equally balanced across exercise (24%) and control (21%)

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

Unequal group sizes

Kargarfard 2012

Methods

Design: random assignment to 8‐week aquatic exercise programme (EX) or no training/wait list (NEX)

Setting: Faculty of Physical Education and Sport Sciences, University of Isfahan, Isfahan, Iran

Categorization: EX = endurance

Participants

n = 32; EX = 16, NEX = 16

Inclusion criteria: definite MS, > 2 years after diagnosis, no relapse < 1 month, ability to participate regular exercise sessions

Exclusion criteria: relapse during intervention, disease preventing participation

Type MS: RRMS

Disease duration (yr) ± SD: EX = 4.9 ± 2.3, NEX = 4.6 ± 1.9

Mean age (yr) ± SD: EX = 33.7 ± 8.6, NEX = 31.6 ± 7.7

% Female (n/n group): EX = 10/10, NEX = 11/11

Mean EDSS ± SD: EX = 2.9 ± 0.9, NEX = 3.0 ± 0.7

Interventions

EX: 8‐week aquatic exercise (3x per week, 60 minutes); 10‐minute warm‐up, 40‐minute exercise, 10‐minute cool‐down at 50‐75% heart rate reserve. Exercises included activities focused on joint mobility, flexor and extensor muscle strengths, balance movements, posture, functional activities, and intermittent walking

NEX: no training/maintain current habits

Outcomes

MFIS, MSQoL‐54

Notes

Drop‐outs

EX: 6, no reasons specified

NEX: 5, no reasons specified

Measurements

Baseline, 4 weeks, 8 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Shuffled envelopes

Allocation concealment (selection bias)

Low risk

Sealed envelopes

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Overall drop‐out rate 34%, equally balanced across groups. Reasons for drop‐out not specified

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

High risk

A large increase in fatigue in the control condition

Klefbeck 2003

Methods

Design: random assignment to 10 weeks' inspiratory muscle training (EX) or control group (NEX)

Setting: 3 rehabilitation outpatient clinics in Stockholm, Sweden

Categorization: EX = other

Participants

n = 15; EX = 7, NEX = 8

Inclusion criteria: progressive MS according to Poser criteria, EDSS 6.5‐9.5

Exclusion criteria: EDSS < 6.0, chronic obstructive airways, asthma, emphysema, cystic fibrosis, heart insufficiency, another diagnosis/disorder

Type MS: progressive MS

Disease duration (yr); range: EX = 12 (3‐19), NEX = 20 (12‐35)

Mean age (yr); range: EX = 46 (37‐49), NEX = 52.5 (38‐61)

% Female (n/n group): EX = 1/7, NEX = 5/8

Mean EDSS; range: EX = 7.5 (6.5‐8.0), NEX = 8.0 (6.5‐9.0)

Interventions

EX: inspiratory muscle training (10 weeks, 70 sessions). Each session consisted of 3x 10 loaded inspirations with 1‐minute rest in between at 40‐60% of maximal inspiratory pressure

NEX: no additional training besides regular physiotherapy

Outcomes

FSS, maximal inspiratory ‐ expiratory pressure, FVC, FEV, VC, RPE after morning bathing/dressing

Notes

Drop‐outs

No drop‐outs reported

Measurements

Baseline, 10 weeks, 14 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation concealment procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

High risk

Not all outcomes reported

Other bias

Low risk

No other sources of bias identified

Learmonth 2012

Methods

Design: random assignment to leisure centre‐based exercise group (EX) or control group (NEX); separate randomization for 2 different treatment sites

Setting: Multiple Sclerosis Service, Scotland, UK

Categorization: EX = mixed

Participants

n = 32; EX = 20, NEX = 12

Inclusion criteria: confirmed diagnosis MS, EDSS 5‐6.5, stable rehabilitation and drug therapy < 1 month, cognitive score > 24 on the MMSE

Exclusion criteria: exacerbation < 3 months, medical condition that may preclude participants from exercise intervention

Type MS: ?

Disease duration (yr) ± SD: EX = 13.4 ± 6.4, NEX = 12.6 ± 8.1

Mean age (yr) ± SD: EX = 51.4 ± 8.06, NEX = 51.8 ± 8.0

% Female (n/n group): EX = 15/20, NEX = 8/12

Mean EDSS ± SD: EX = 6.14 ± 0.36, NEX = 5.82 ± 0.51

Interventions

EX: leisure centre‐based exercise group (12 weeks, 2x per week). 10‐minute warm‐up of aerobic and stretching components; 30‐40 minutes of circuit exercises (8‐12) designed for aerobic endurance, resistance, and balance

NEX: usual routine, avoid new exercise regimen for the 12‐week study period

Outcomes

FSS, T25FW, 6MWT, BBS, TUG, QPW, BMI, PF, ABC, HADS, LMSQoL

Notes

Drop‐outs

EX: 1 family commitments, 1 participate in other study, 1 increased work commitments, 1 influenza‐like symptoms, 1 suspected trigeminal neuralgia

NEX: 1 unable to commit time for assessments, 1 unable to attend due to weather conditions

Measurements

Baseline, 8 weeks, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computerized randomization procedure

Allocation concealment (selection bias)

High risk

Randomization list was generated beforehand to include a potential 20 participants

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate 22%, without indication of differences in reasons

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

McCullagh 2008

Methods

Design: random assignment to 12‐week group circuit training (EX) or control group (NEX)

Setting: Physiotherapy Gym, Dublin, Ireland

Categorization: EX = mixed

Participants

n = 30; EX = 17, NEX = 13

Inclusion criteria: definite MS, independently mobile without use of aids, able to attend twice weekly + exercise independently at home

Exclusion criteria: relapse < 3 months; history of cardiac conditions that would limit exercise capacity; cognitive or psychosocial condition that would limit class participation

Type MS: RRMS and SPMS

Disease duration (yr) ± SD: EX = 5.4 ± 4.35, NEX = 5 ± 3.52

Mean age (yr) ± SD: EX = 40.5 ± 12.68, NEX = 33.58 ± 6.1

% Female (n/n group): EX = 14/17, NEX = 10/13

Mean EDSS ± SD: ?

Interventions

EX: leisure centre‐based group classes (12 weeks, 2x per week) 5‐minute warm‐up, 40‐minute exercises. 4 different stations (10 minutes each): treadmill walking/running, cycling, stair‐master training, arm‐strengthening exercises, volleyball, and outdoor walking. In addition, participants were required to do a single type home exercise programme of choice for 40‐60 minutes at RPE 11‐13

NEX: normal activity + physiotherapy once monthly

Outcomes

MFIS, FAMS, MSIS‐29, exercise capacity (HRmax, RPE)

Notes

Drop‐outs

EX: 2 relapses, 1 inconvenient timing of classes, 1 pregnancy, 1 personal reasons

NEX: 1 moved home

Measurements

Baseline, 3 months, 6 months

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomization by blinded withdrawal of labelled slips from box

Allocation concealment (selection bias)

Unclear risk

Only 2 slips were present in the box during the allocation of each participant

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate 20%, unequally balanced across exercise (29%), and control (8%)

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

High risk

After 17 people had been allocated to the experimental group the remaining people were allocated to the control group to maintain equal group sizes

Mori 2011

Methods

Design: random assignment to transcranial magnetic stimulation (TMS), exercise group (EX), or control (NEX); group allocation was counter‐balanced by EDSS score

Setting: outpatient clinical service of the University of Tor Vergata, Rome, Italy

Categorization: TMS = mixed, EX = mixed

Participants

n = 30; TMS = 10, EX = 10, NEX = 10

Inclusion criteria: RRMS according to McDonald criteria, remitting phase of disease, EDSS 2.0‐6.0, lower limb spasticity

Exclusion criteria: gadolinium‐induced cerebral or spinal lesion enhancement 2‐30 days before beginning of trial

Type MS: RRMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: TMS = 39.1 ± 10.7, EX = 37.7 ± 12.3, NEX = 38.3 ± 11.9

% Female (n/n group): TMS = 3/10, EX = 4/10, NEX = 5/10

Mean EDSS ± SD: TMS = 3.6 ± 1.2, EX = 3.8 ± 1.6, NEX = 3.5 ± 1.0

Interventions

TMS: intermittent theta burst stimulation of the soleus muscle at 80% of the active motor threshold for a total of 600 stimuli + exercise therapy (2 weeks, 5x per week); 2‐hour daily sessions. 1 hour on land, 1 hour aquatic, 2 or 3 sets per exercise type, 15 repetitions per set. Exercises were scheduled in order to improve range of motion, muscular flexibility, equilibrium reactions, motor co‐ordination, postural passages and transfers, and ambulation. Intensity was reduced with increasing disability

EX: exercise therapy as for TMS group however with sham TMS

NEX: TMS only

Outcomes

FSS, MAS, MSSS‐88, BI, EDSS, MSQoL‐54 (physical and mental composite)

Notes

Drop‐outs

No drop‐outs, training adherence unknown

Measurements

Baseline, 2 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Mostert 2002

Methods

Design: random assignment of patients (EXMS) and healthy controls (EXH) to short‐term exercise programme or control (patients: NEXMS, healthy controls: NEXH); healthy people were matched with respect to gender, age, and level of physical activity

Setting: Rehabilitation Centre, Valens, Switzerland

Categorization: EX = endurance

Participants

n = 52; EXMS = 20, NEXMS = 18, EXH = 13, NEXH = 13

Inclusion criteria: definite MS; able to pedal on free‐standing ergometer; no history of cardiovascular, respiratory, orthopaedic, metabolic diseases, or other medical conditions; no acute exacerbation < 2 months

Exclusion criteria: ?

Type MS: RRMS, PPMS, and SPMS

Disease duration (yr) ± SD: EXMS = 11.2 ± 8.5, NEXMS = 12.6 ± 8.1

Mean age (yr) ± SD: EXMS = 45.23 ± 8.66, NEXMS = 43.92 ± 13.90, EXH = 44.7 ± 10.0, NEXH = 41.69 ± 11.15

% Female (n/n group): EXMS = 10/13, NEXMS = 11/13, EXH = 10/13, NEXH = 11/13

Mean EDSS ± SD: EXMS = 4.6 ± 1.2, NEXMS = 4.5 ± 1.9

Interventions

EXMS: short‐term inpatient exercise programme (3‐4 weeks, 5x per week). Consisted of 30 minutes' bicycle exercise training at individually determined anaerobic threshold

NEXMS: normal inpatient physiotherapy yet not increase physical activity level

EXH: identical training programme as people with MS

NEXH: no intervention, no change increase in physical activity level

Outcomes

FSS, VO2max, anaerobic threshold, FVC, MVV, BAECKE, SF‐36

Notes

Drop‐outs

EXMS: 3 quit after allocation to exercise group, 2 excluded based on ST segment change during exercise electrocardiogram (ECG), 2 had elevated spasticity of the lower extremities following exercise testing

NEXMS: 3 motivational problems to sustain intervention programme, 2 symptom exacerbations

Measurements

Baseline, 4 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate was 32% equally balanced across groups, but with some indication of differences in reasons

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Negahban 2013

Methods

Design: random assignment to massage therapy (M), exercise therapy (EX), massage + exercise therapy (MEX), or a control (C); the massage therapy group was excluded from this review

Setting: Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

Categorization: EX = mixed, MEX = mixed

Participants

n = 48; M = 12, EX = 12, MEX = 12, C = 12

Inclusion criteria: RRMS or SPMS, EDSS 2‐6, walk 10 metres, stand unassisted for > 60 seconds

Exclusion criteria: severe relapse < 1 month, participation in an physiotherapy programme before start of trial, cardiovascular disease, diabetes, or lower limb arthritis

Type MS: RRMS or SPMS

Disease duration (months) ± SD: M = 148.7 ± 97.11, EX = 102 ± 81.06, MEX = 115.3 ± 78.28, C = 86.58 ± 34.33

Mean age (yr) ± SD: M = 36.33 ± 7.62, EX = 36.67 ± 6.69, MEX = 36.67 ± 7.63, C = 36.83 ± 8.74

% Female (n/n group): M = 10/12, EX = 10/12, MEX = 10/12, C = 10/12

Mean EDSS ± SD: M = 3.75 ± 1.37, EX = 3.50 ± 1.13, MEX = 3.75 ± 1.43, C = 3.83 ± 1.39

Interventions

M: 5 weeks, 5x per week, 30‐minute standard Swedish massage by a trained massage therapist. The following techniques were applied to the bilateral quadriceps femoris, hip adductors, peroneal, and calf muscles: petrissage, effleurage, and friction. Participants were asked to lie in a supine position on a treatment table and a 7‐minute massage was applied on the quadriceps femoris and hip adductors. In addition, a 4‐minute massage was applied both on the peroneal muscles and the calf muscles

EX: 5 weeks, 3x per week, 30‐minute combined set of strength, stretch, endurance, and balance exercises. Exercise included leg raising, forward lunge, hip adductor, and calf muscle stretching, and walking on a treadmill

MEX: 5 weeks, 3x per week, 15‐minute exercise therapy (EX) + 15 minutes of passive massage therapy (M)

C: participants in the control group were asked to continue their standard medical care

Outcomes

FSS, VAS scale for pain, MAS, BBS, TUG, 10MWT, 2MWT, MSQoL‐54

Notes

Drop‐outs

No drop‐outs reported

Measurements

Baseline, 5 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Table of random numbers

Allocation concealment (selection bias)

Unclear risk

Unclear who had access to table of random numbers

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs or adverse events reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Oken 2004

Methods

Design: Random assignment to Iyengar yoga classes plus home programme (YOGA), weekly bicycle exercise classes along with home exercise (EX) or wait‐list control group (NEX) using a minimization procedure.

Setting: Oregon Health & Science University, Portland, USA

Categorization: YOGA = other, EX = endurance

Participants

n = 69; YOGA = 26, EX = 21, NEX = 22

Inclusion criteria: EDSS ≤ 6.0

Exclusion criteria: insulin‐independent diabetes, uncontrolled hypertension, liver or kidney failure, symptomatic lung disease, alcoholism/drug abuse, ischaemic heart disease or signs of congestive heart failure, visual acuity worse than 20/50 binocularly, yoga/tai‐chi < 6 months, regular aerobic exercise > 30 minutes/day

Type MS: ?

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: YOGA = 49.8 ± 7.4, EX = 48.8 ± 10.4, NEX = 48.4 ± 9.8

% Female (n/n group): YOGA = 20/22, EX = 13/15, NEX = 20/20

Mean EDSS ± SD: YOGA = 3.2 ± 1.7, EX = 2.9 ± 1.7, NEX = 3.1 ± 2.1

Interventions

YOGA: 90‐minute Iyengar yoga classes, 1x per week for 6 months; all poses were supported by chair, wall, or floor. Each pose was held 10‐30 seconds with rest periods of 30‐60 seconds. Emphasis on breathing and relaxation. Each session ended with 10 minutes' deep relaxation, supine on the floor. Participants were encouraged to practice yoga at home by means of a demonstration booklet

EX: bicycle exercise classes 1x per week ‐ up to 60 minutes for 6 months. Each class began and ended with 5 minutes' stretching. Primary mode of exercise was cycling at modified BORG 2‐3. Each participant was provided with a home bicycle and encouraged to continue cycling at home or do any other mode of exercise

NEX: wait‐list control

Outcomes

POMS fatigue sub‐scale, MFI, SSS, POMS, SF‐36, STAI, CES‐D‐10, MSFC including 25‐foot walk, 9HPT, Stroop colour‐word interference, Electroencephalography median power frequency

Notes

Drop‐outs

YOGA: 1 exacerbation

EX: 1 exacerbation

Other drop‐outs not specified to a single trial arm: 3 unrelated surgeries, 1 low back pain related to car accident, 6 not able to attend classes for various reasons

Measurements

Baseline, 3 months, 6 months. Data from 3 months concerned only limited outcomes and was not presented in the report

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Minimization procedure

Allocation concealment (selection bias)

Low risk

By independent statistician

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate 17%, equally balanced across groups. Drop‐outs not specified to study arm unlikely to be related to treatment allocation

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Petajan 1996

Methods

Design: random assignment to 15 weeks' aerobic training programme (EX) or control group (NEX)

Setting: University of Utah, Salt Lake City, USA

Categorization: EX = endurance

Participants

n = 54; EX = 27, NEX = 27

Inclusion criteria: clinically definite MS; EDSS ≤ 6.0; no history of cardiovascular respiratory, orthopaedic, metabolic, or other medical condition that would preclude participation in the training programme; no regular physical activity < 6 months

Exclusion criteria: ?

Type MS: ?

Disease duration (yr) ± SD: EX = 9.3 ± 1.6, NEX = 6.2 ± 1.1

Mean age (yr) ± SD: EX = 41.1 ± 2.0, NEX = 39.0 ± 1.7

% Female (n/n group): EX = 15/21, NEX = 16/25

Mean EDSS ± SD: EX = 3.8 ± 0.3, NEX = 2.9 ± 0.3

Interventions

EX: aerobic training (15 weeks, 3x per week) under supervision. 5‐minute warm‐up 30% VO2max, 30 minutes at 60% VO2max, 5‐minute cool‐down. 5‐10 minutes of stretching. Workload was updated at week 5 and 10

NEX: control group instructed to not change activity pattern; programme was offered after completion of trial

Outcomes

POMS fatigue sub‐scale, FSS, number of relapses, EDSS, ISS, VO2max, maximum voluntary contractions of five upper and lower extremity muscle groups, skin‐fold thickness, % body fat, blood lipids, POMS, SIP

Notes

Drop‐outs

EX: 4 relapses

NEX: 3 relapses

Measurements

Baseline, 5 weeks, 10 weeks, 15 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate, equally balanced across exercise (15%) versus control (11%)

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Plow 2009

Methods

Design: random assignment to individualized physical rehabilitation (IPR) or a group wellness intervention (GWI)

Setting: Department of Physical Medicine & Rehabilitation, University of Minnesota, Minneapolis, USA

Categorization: IPR = mixed

Participants

n = 50; IPR = 22, GWI = 20

Inclusion criteria: physician‐confirmed diagnosis MS, ability to walk with or without an assistive device

Exclusion criteria: pregnancy, cardiovascular disease, more than 2 falls in past month, inability to understand trial

Type MS: ?

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: IPR = 48.5 ± 12.3, GWI = 48.5 ± 9.1

% Female (n/n group): IPR = 17/20, GWI = 16/20

Mean EDSS ± SD: ?

Interventions

IPR: individualized home‐exercise programme (8 weeks, 5x per week). 3x per week indoor cycling and stretching. 2x per week strength and balance exercises. Additional physical therapy session every other week

GWI: home‐exercise programme without individual adjustment but with additional energy conservation modules based on Packer 1995. (8 weeks, 2 hours/week)

Outcomes

MFIS, MHI, SF‐36, HPLP‐II physical activity sub‐scale, BMI, % body fat, waist circumference, blood pressure, resting heart rate, VO2max (YMCA protocol), bench‐press (repetitions/1 minute), military‐press (repetitions/1 minute), sit‐to‐stand (repetitions/45 seconds), hamstring flexibility, balance

Notes

Drop‐outs

8 participants excluded from analyses, as they did not receive intervention (reason not provided). An additional 4 participants excluded from analyses due to missing values of primary outcome (GWI = ‐3, IPR = ‐1)

Measurements

6 weeks pre‐intervention, immediately pre‐intervention, post‐intervention, 8 weeks post‐intervention

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate 29% with a larger proportion in the GWI (35%) versus the IPR (23%). Reasons for not receiving intervention were not provided

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Rampello 2007

Methods

Design (cross‐over): random assignment to aerobic training (EX) first or neurorehabilitation programme (NRP) first

Setting: MS outpatient clinics at Parma University Hospital and Piacenza Hospital, Italy

Categorization: EX = endurance

Participants

n = 19; EX = 8, NRP = 11

Inclusion criteria: diagnosis MS according to Poser criteria, EDSS ≤ 6.0, aged 20‐55 years

Exclusion criteria: relapse < 1 month; history of cardiac, pulmonary, orthopaedic, metabolic, or other medical condition precluding participation; receiving steroid treatment < 2 months

Type MS: ?

Disease duration (yr) ± SD: EX + NRP = 6 ± 4

Mean age (yr) ± SD: EX + NRP = 41 ± 8

% Female (n/n group): EX + NRP = 14/11; 4 more drop‐outs after cross‐over

Mean EDSS (range): EX + NRP = 3.5 (1‐6)

Interventions

EX: aerobic training (8 weeks, 3x per week) under supervision. 5‐minute warm‐up 30% VO2max, 30 minutes at 60% VO2max, 5‐minute cool‐down. 5‐10 minutes of stretching. Similar to the trial by Petajan 1996

NRP: neurorehabilitation programme (8 weeks, 3x per week). 60 minutes of exercise aimed at improving respiratory‐motor synergies and stretching

Outcomes

MFIS, EDSS, MSQoL‐54, pulmonary function, 6MWT, walking speed, cost of walking, Wmax, VO2max, VO2/HR

Notes

Drop‐outs

EX: 1 relapse, 1 did not adhere to protocol; after cross‐over, 3 more drop‐outs in EX due to relapse (1) and not adhering to protocol (2)

NRP: 1 relapse, 1 did not adhere to protocol; after cross‐over, 1 more drop‐out due to relapse

Measurements

Baseline, 8 weeks, 16 weeks, 24 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computerized randomization procedure

Allocation concealment (selection bias)

Unclear risk

Unclear who performed randomization procedure

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

Overall drop‐out rate 42% for which high risk. However, a large proportion dropped out during the wash‐out phase. No imbalances in drop‐outs during intervention phase

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

No data on 'success' of wash‐out phase presented

Sabapathy 2011

Methods

Design (cross‐over): random assignment to endurance training (ET) first or resistance training (RT) with 8‐week wash‐out period between interventions

Setting: Queensland Health, Queensland, Australia

Categorization: ET = endurance, RT = muscle power

Participants

n = 21; ET = 6, RT = 15

Inclusion criteria: ambulant (with or without aid)

Exclusion criteria: ?

Type MS: RRMS, PPMS, SPMS

Disease duration (yr) ± SD: ET + RT = 10 ± 10

Mean age (yr) ± SD: ET + RT = 55 ± 7

% Female (n/n group): ET + RT = 12/16

Mean EDSS ± SD: ?

Interventions

ET: endurance training (8 weeks, 2x per week); circuit of 8 exercise stations (step‐ups, arm cranking, upright cycling, arm cranking, recumbent cycling, cross‐trainer, treadmill walking, arm cranking (5 minutes each). Intensity was increased based on RPE (3‐5 on BORG 10 scale)

RT: resistance training (8 weeks, 2x per week); 3 upper, 3 lower body exercises, 1 core strength, 1 stability. 2‐3 sets of 6‐10 repetitions

Outcomes

MFIS, grip strength, functional reach test, four step square test, TUG, 6MWT, MSIS‐29, SF‐36

Notes

Drop‐outs

ET: no drop‐outs during or directly following endurance training

RT: 1 for time reasons; following the wash‐out period, 2 participants drop‐out due to time constrains, 1 moved house and 1 became ill dependent

Measurements

Baseline, directly following 8 weeks' intervention 1, after an 8‐week wash‐out period and following 8 weeks' intervention 2

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Coin toss

Allocation concealment (selection bias)

High risk

A large proportion of the participants randomized to resistance training first

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 24%. No imbalances in the number of drop‐outs during endurance or resistance training

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Sangelaji 2014

Methods

Design: random assignment to a combination exercise therapy (EX) and a control (NEX)

Setting: physiotherapy clinic, Tehran, Iran

Categorization: EX = mixed

Participants

n = 72; EX = 42, NEX = 30

Inclusion criteria: RRMS, aged 18‐50 years, no MS attack < 3 months, EDSS 0‐4.0

Exclusion criteria: ?

Type MS: RRMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: EX = 33.05 ± 7.68, NEX = 32.05 ± 6.35

% Female (n/n group): EX = 24/39, NEX = 15/22

Mean EDSS: EX = 1.7, NEX = 1.96

Interventions

EX: 10 weeks, 3x per week, 90 minutes of combination exercises. 7‐10 minutes of stretching exercises including movements for spine, neck, upper, and lower limbs. 20‐40 minutes of aerobic exercise on cycle or treadmill of which the duration progressively increased based on the fatigue perception. Intensity started at 40% of HRmax and was increased to 70% of HRmax. Subsequently, 10‐20 minutes of strength and balance exercises

NEX: usual care

Outcomes

FSS, EDSS, BBS, 6MWT, MQoL, PQoL

Notes

Drop‐outs

EX = 1 lack of time, 1 muscular pain and stiffness, 1 MS attack

NEX = 5 performed exercise or rehabilitation, 1 MS attack, 2 unable to contact

Measurements

Baseline, 10 weeks ('after all exercise sessions')

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number tables

Allocation concealment (selection bias)

Unclear risk

Allocation was done before invitation to participate

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 15%. Unequal distribution between exercise (7%) and control (27%)

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Unclear risk

There was no clarity regarding the reported means, mean differences, and time points; unequal group‐sizes

Schulz 2004

Methods

Design: random assignment to aerobic training (EX) or control (NEX)

Setting: University Hospital Eppendorf, Hamburg, Germany

Categorization: EX = endurance

Participants

n = 28; EX = 15, NEX = 13

Inclusion criteria: diagnosis MS according to Poser criteria, EDSS < 5.0, without steroid or immunosuppressive therapy < 4 weeks

Exclusion criteria: no clear diagnosis, acute relapse, severe cognitive deficits, signs of any psychiatric disease

Type MS: RRMS (19 participants), SPMS (5 participants), PPMS (2 participants), not reported (2 participants)

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: EX = 39 ± 9, NEX = 40 ± 11

% Female (n/n group): EX = 11/15, NEX = 8/13

Mean EDSS (range): EX = 2.0 ± 1.4, NEX = 2.5 ± 0.8

Interventions

EX: aerobic interval training (8 weeks, 2x per week) under supervision. Maximal intensity at 75% Wmax from ergometry test

NEX: wait list

Outcomes

MFIS, fitness parameters, immune‐ and neurotrophic factor, HAQUAMS

Notes

Drop‐outs

No drop‐outs, adherence unknown; 18 participants withdrawn from initial 46 included due to inability to cycle 30 minutes at 100 Watt

Measurements

Baseline, 8 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

High risk

18 participants withdrawn from 46 included due to inability to complete exercise test

Skjerbaek 2014

Methods

Design: random assignment to endurance training (EX) or control (NEX)

Setting: Danish MS Hospital, Ry, Denmark

Categorization: EX = endurance

Participants

n = 11; EX = 6, NEX = 5

Inclusion criteria: EDSS 6.5‐8.0, aged > 18 years, SPMS or PPMS, no serious comorbidity

Exclusion criteria: n.a.

Type MS: SPMS or PPMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: EX = 62.0 ± 5.9, NEX = 55.2 ± 8.2

% Female (n/n group): ?

Mean EDSS (range): ?

Interventions

EX: 4 weeks' inpatient rehabilitation + 10 supervised upper‐body exercise sessions. Exercise consisted of 5 minutes' warming‐up followed by 6x 3‐minute intervals at a target heart rate corresponding to 65‐75% of VO2peak. To ensure physical exhaustion, short 30‐ to 60‐second sprints at the highest possible intensity were performed at the end of each interval. The inpatient rehabilitation programme was provided by a highly specialized multidisciplinary team consisting of difference active treatments ranging from self management education to various exercise therapies depending on the person's goals and needs

NEX: 4 weeks' inpatient rehabilitation similar to the programme in the exercise group

Outcomes

FSMC, VO2peak, peak HR, 9HPT, hand grip power, Box and Blocks, 6‐minute wheelchair, MDI, MSIS‐29

Notes

Drop‐outs

EX: 1 due to hospitalization unrelated to the intervention

Measurements

Baseline, 4 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure unknown

Allocation concealment (selection bias)

Low risk

It was stated that the randomization occurred while 'applying concealed allocation (with respect to gender)'

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

1 drop‐out reported in the exercise condition, unrelated to the intervention. 96% of planned exercise sessions completed

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Smedal 2011

Methods

Design: random assignment to Norway‐based physiotherapy programme (NOR) first or Spain‐based physiotherapy programme (ESP) first; wash‐out phase of 1 year

Setting: Departments of Neurology at Haukeland University Hospital and Akershus University Hospital, Norway (recruitment); treatment was provided in Tenerife, Spain and Hakadal, Norway

Categorization: NOR = other, ESP = other

Participants

n = 60; NOR = 30, ESP = 30

Inclusion criteria: gait problems, EDSS 4.0‐6.5, aged 18‐60, no relapse < 1 month

Exclusion criteria: heat intolerance or excessive fatigue, pregnancy, breastfeeding, severe cognitive dysfunction, other co‐morbidities that could influence participation

Type MS: RRMS, PPMS, SPMS

Disease duration (yr) ± SD: ? (age at onset NOR = 33.0 ± 9.2, ESP = 29.6 ± 9.8)

Mean age (yr) ± SD: NOR = 49.9 ± 8.0, ESP = 47.0 ± 9.8

% Female (n/n): NOR = 16/30, ESP = 20/30

Mean EDSS ± IQR: NOR = 4.5 ± 1.5, ESP = 4.75 ± 1.5

Interventions

NOR and ESP both comprehended the same physiotherapy programme (4 weeks, 5x per week, 60 minutes) based on the Bobath concept aimed to improve physical functioning through motor learning

Outcomes

FSS, 6MWT (+ RPE), TUG, 10MWT, BBS, TIS, MSIS‐29, MHAQ, pain, balance, gait

Notes

Drop‐outs

Not specified to intervention; 2 relapses, 1 pregnancy, 1 college studies, 1 accident with bone fracture, 4 personal reasons

Measurements

Baseline, 4 weeks, 3 months' follow‐up, 6 months' follow‐up

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 15%. Distribution across exercise conditions unknown; however, reasons for drop‐out unlikely related to exercise intervention. Training adherence was 99%

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Straudi 2014

Methods

Design: random allocation to task‐oriented circuit training + home exercise (EX) or control (NEX)

Setting: outpatient clinic of the Physical Medicine and Rehabilitation Department, Ferrara, Italy

Categorization: EX = task‐oriented

Participants

n: 24; EX = 12, NEX = 12

Inclusion criteria: aged 18‐75 years, definite diagnosis MS, EDSS 4‐5.5, no relapse < 3 months

Exclusion criteria: other conditions that affect motor function, MMSE < 24

Type MS: RRMS, PPMS, and SPMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: EX = 49.92 ± 7.51, NEX = 55.25 ± 13.82

% Female (n/n): EX = 7/12, NEX = 10/12

Mean EDSS ± SD: EX = 4.95 ± 0.61, NEX = 4.83 ± 0.49

Interventions

EX: 2 weeks, 5x per week, 1 hour' task‐oriented circuit training + 30 minutes' treadmill training (2 hours including rest) followed by 3 months, 3x per week, 60 minutes' home‐based exercise. The task‐oriented circuit training consisted of 6 workstations in which participants exercised for 5 minutes in each (3 minutes of exercise + 2 minutes of rest). 2 laps of each workstation were done with 10 minutes of rest after each lap. Subsequently, walking endurance was trained for 30 minutes on the treadmill. Each session included up to 3 participants. A home‐based exercise brochure was provided so that they could independently train for the following 3 months. The brochure included similar exercises as for the task‐oriented circuit training

NEX: usual care; exercise in non‐rehabilitative contexts was allowed

Outcomes

FSS, 10MWT, 6MWT, TUG, DGI, MSWS‐12, MSIS‐29

Notes

Drop‐outs

NEX = 3 (denial)

Measurements

Baseline, 2 weeks (post task‐oriented training), 3 months (post home‐based exercise)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

www.randomization.com

Allocation concealment (selection bias)

Low risk

www.randomization.com

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐out rate was 13% in the control condition

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other bias identified

Surakka 2004

Methods

Design: random assignment to 3‐week inpatient rehabilitation programme followed by 23 weeks of home‐based exercise (EX) or no exercise (NEX)

Setting: Masku Neurological Rehabilitation Centre, Masku, Finland

Categorization: EX = mixed

Participants

n = 95; EX = 47, NEX = 48

Inclusion criteria: aged 30‐54 years, EDSS 1.0‐5.5

Exclusion criteria: cardiovascular disease, musculoskeletal disorder, relapse < 1 month, intensive exercise (5x per week, 30 minutes) < 3 months, medical or psychological or other reasons indicating potential drop‐out

Type MS: RRMS, PPMS, SPMS

Disease duration (yr) ± SD: EX men = 6 ± 7, EX women = 6 ± 6, NEX men = 5 ± 6, NEX women = 6 ± 7

Mean age (yr) ± SD: EX men = 45 ± 6, EX women = 43 ± 6, NEX men = 44 ± 7, NEX women = 44 ± 7

% Female (n/n): EX = 30/47, NEX = 31/48

Mean EDSS ± SD: EX men = 2.9 ± 1.2, EX women = 2.0 ± 0.8, NEX men = 3.1 ± 1.2, NEX women = 2.5 ± 1.0

Interventions

EX: 3 weeks' inpatient rehabilitation course of 5 resistance and 5 aquatic aerobic exercise (65‐70% HRmax) sessions followed by 23 weeks of individualized home‐based exercise; 4‐5x weekly. Home exercise consisted of 8 progressive resistance exercises using elastic bands

NEX: no participation in any exercise programme; asked to continue normal living

Outcomes

FSS, leg flexor/extensor torque, motor fatigue, ambulatory fatigue index

Notes

Drop‐outs

EX: 2 refused measurement, 1 traffic accident

NEX: 2 refused, 1 data conversion failed, 1 knee pain

Measurements

Baseline, 3 weeks, 26 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computerized randomization procedure

Allocation concealment (selection bias)

Low risk

Randomization by project statistician

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Drop‐out rate was 8% equally balanced across groups

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Sutherland 2001

Methods

Design: random assignment to aquatic aerobic training (EX) or control (NEX). Matched by age and gender

Setting: Victoria University, Melbourne, Australia

Categorization: EX = endurance

Participants

n = 22; EX = 11, NEX = 11

Inclusion criteria: EDSS ≤ 5.0, no exercise programme < 6 months

Exclusion criteria: cardiovascular disease, musculoskeletal disorder, relapse < 1 month, intensive exercise (5x per week, 30 minutes) < 3 months, medical or psychological or other reasons indicating potential drop‐out

Type MS: ?

Disease duration (yr) ± SD: EX = 7.00 ± 5.59, NEX = 6.18 ± 3.63

Mean age (yr) ± SD: EX = 47.18 ± 4.75, NEX = 45.45 ± 5.05

% Female (n/n): EX = 6/11, NEX = 6/11

Mean EDSS ± SD: EX men = 2.9 ± 1.2, EX women = 2.0 ± 0.8, NEX men = 3.1 ± 1.2, NEX women = 2.5 ± 1.0

Interventions

EX: supervised aerobic aquatic training programme for 10 weeks, 3x per week, 45 minutes. Weeks 5 and 6 were land‐based weight resistance training. Aquatic exercise consisted of water jogging and deep water running

NEX: control group was requested to not change their exercise habits

Outcomes

POMS‐SF (including fatigue sub‐scale), MSPSS, MSQoL‐54

Notes

Drop‐outs

No drop‐outs; mean adherence 27/30 training sessions

Measurements

Baseline, 8 weeks (2 weeks prior to end of intervention)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Tarakci 2013

Methods

Design: random assignment to group exercise training (EX) or control (NEX)

Setting: Division of Physiotherapy and Rehabilitation, Istanbul University, Istanbul, Turkey

Categorization: EX = mixed

Participants

n = 110; EX = 55, NEX = 55

Inclusion criteria: definite MS, EDSS 2.0‐6.5, no relapse < 30 days, stable medication, no transport difficulties

Exclusion criteria: other central nervous system disease, pregnant, medical condition precluding exercise participation, regular exercise < 3 months

Type MS: RRMS, PPMS, and SPMS

Disease duration (yr) ± SD: EX = 9.00 ± 4.71, NEX = 8.42 ± 5.38

Mean age (yr) ± SD: EX = 49.49 ± 9.37, NEX = 39.6 ± 11.18

% Female (n/n group): EX = 34/51, NEX = 30/48

Mean EDSS ± SD: EX = 4.38 ± 1.37, NEX = 4.21 ± 1.44

Interventions

EX: 12 weeks, 3x per week; 60‐minute group exercise programme (up to 7 participants per group) including flexibility, range of motion, strengthening with/without Theraband for lower extremity, core stabilization, balance, and co‐ordination exercises. Perceived exertion < 14 (6‐20 scale)

NEX: waiting list

Outcomes

FSS, BBS, 10MWT, 10‐stair climbing test, MAS, MusiQoL

Notes

Drop‐outs

EX: 1 exacerbation, 1 personal problems, 2 < 80% participation

NEX: 1 participation in exercise programme, 3 exacerbation, 3 not coming to assessment

Measurements

Baseline, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated list

Allocation concealment (selection bias)

High risk

Complete randomization outcome known prior to trial

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Overall drop‐out rate was 10%. Somewhat imbalanced across exercise (7%) and control (13%)

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

van den Berg 2006

Methods

Design (cross‐over): random assignment to immediate or delayed (EX) supervised treadmill training; the follow‐up phase of the immediate group and the phase prior to training in the delayed group served as control (NEX)

Setting: School of Health Sciences, University of Birmingham, Birmingham, UK

Categorization: EX = endurance

Participants

n = 19; EX = 10, NEX = 9

Inclusion criteria: confirmed clinical diagnosis of MS, ability to follow training instructions, walk 10 metres < 60 seconds without hands on support, using an aid if necessary, able to walk on treadmill with or without hands on support

Exclusion criteria: significant relapse < 2 months, serious medical condition that might impair ability to walk on a treadmill and participate in aerobic exercise

Type MS: ?

Disease duration (yr) ± SD: ?

Age (yr): 30‐65

% Female (n/n group): 14/17

Mean EDSS ± SD: ?

Interventions

EX: supervised treadmill training 3x per week/4 weeks. Walking duration increased up to 30 minutes, subsequently walking speed increased; target HR 55‐85% age predicted HRmax

NEX: wait list or follow‐up phase

Outcomes

FSS, 10MWT, 2MWT, GDNS, RMI, heart rate walking

Notes

Drop‐outs

EX: 2 unknown reason

NEX: 1 unknown reason

Measurements

Baseline, 7 weeks, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block‐randomization using computer‐generated numbers

Allocation concealment (selection bias)

Low risk

Sealed envelopes

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Overall drop‐out rate 17%; reasons for drop‐out not provided.

Selective reporting (reporting bias)

Unclear risk

Outcome on Rivermead Mobility Index was not reported

Other bias

Low risk

No other sources of bias identified

Velikonja 2010

Methods

Design: random assignment to sports climbing (SC) or Hatha Yoga (HY)

Setting: Multiple Sclerosis Center at the Division of Neurology, University Medical Center, Ljubljana, Slovenia

Categorization: SC = other, HY = other

Participants

n = 20; SC = 10, HY = 10

Inclusion criteria: RRMS, PPMS, or SPMS; EDSS ≤ 6.0; EDSS pyramidal functions score > 2.0; aged 26‐50

Exclusion criteria: none reported

Type MS: RRMS, PPMS, and SPMS

Disease duration (yr) ± SD: ?

Median age (yr): SC = 42, HY = 41

% Female (n): ?

Median EDSS: SC = 4, HY = 4.2

Interventions

SC: 10 weeks, 1x per week sports climbing on a 5‐metre wall, 90° inclination adjusted for participants by increasing the size and number of holds

HY: 10 weeks, 1x per week Hatha yoga; stretching and strengthening exercises, breathing exercises

Outcomes

MFIS, EDSS, MAS, executive function, selective attention, CES‐D

Notes

Drop‐outs

?

Measurements

Baseline, 10 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization procedure was not described

Allocation concealment (selection bias)

Unclear risk

Allocation procedure unknown

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Number of drop‐outs unknown

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

Wier 2011

Methods

Design: random assignment to robot‐assisted treadmill training first (R‐T) versus conventional body weight supported treadmill training first (T‐R)

Setting: Department of Community Health, Brown University, Rhode Island, USA

Categorization: R‐T = endurance, T‐R = endurance

Participants

n = 13; R‐T = 6, T‐R = 7

Inclusion criteria: clinical diagnosis of MS by McDonald criteria, EDSS 4‐6

Exclusion criteria: myocardial infarction; uncontrolled hypertension or diabetes; symptomatic orthostasis; or body weight, joint, or lower‐limb musculoskeletal injuries that limited the range of motion necessary for safe use of the Lokomat

Type MS: RRMS, PPMS, SPMS

Disease duration (yr) ± SD: ?

Mean age (yr) ± SD: 49.8 ± 11.1

% Female (n): 6

Mean EDSS ± SD: 4.9 ± 1.2

Interventions

R: robot (Lokomat) assisted, body weight supported treadmill training (2x per week, 3 weeks)

T: conventional body weight supported treadmill training (2x per week, 3 weeks); In random order, including 6 weeks' wash‐out

Outcomes

MFIS, MSQLI, FSS, SF‐36, PES, SSS, Bladder Control Scale, Bowel Control Scale, IVIS, PDQ‐5, MHI‐5, and MSSS‐5

Notes

Drop‐outs

0

Measurements

Baseline, 6 weeks, 12 weeks

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Coin toss

Allocation concealment (selection bias)

High risk

Unclear who performed coin toss

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Due to the nature of the intervention, neither participants nor personnel could be blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fatigue was self reported and therefore outcome assessment was not blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No drop‐outs reported

Selective reporting (reporting bias)

Low risk

No selective reporting identified

Other bias

Low risk

No other sources of bias identified

For an overview of abbreviations, see Appendix 5.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Barrett 2009

The assessment of fatigue was not part of the study design

Bayraktar 2013

Not an RCT

Bjarnadottir 2007

The assessment of fatigue was not part of the study design

Broekmans 2010

The assessment of fatigue was not part of the study design

Broekmans 2011

The assessment of fatigue was not part of the study design

Carter 2013a

The assessment of fatigue was not part of the study design

Carter 2013b

The assessment of fatigue was not part of the study design

Castellano 2008

Not an RCT

Cattaneo 2007

The assessment of fatigue was not part of the study design

Claerbout 2012

The assessment of fatigue was not part of the study design

Dalgas 2009

The assessment of fatigue was not part of the study design

DeBolt 2004

The assessment of fatigue was not part of the study design

Fimland 2010

The assessment of fatigue was not part of the study design

Gosselink 2000

The assessment of fatigue was not part of the study design

Grossman 2010

No exercise intervention

Guerra 2014

No exercise intervention

Heesen 2003

Not an RCT

Hilgers 2013

The assessment of fatigue was not part of the study design

Hojjatollah 2012

The assessment of fatigue was not part of the study design

Jackson 2008

No exercise intervention

Keser 2011

Not an RCT

Keser 2013

The assessment of fatigue was not part of the study design

Marandi 2013a

The assessment of fatigue was not part of the study design

Marandi 2013b

The assessment of fatigue was not part of the study design

McAuley 2007

The assessment of fatigue was not part of the study design

Miller 2011

The assessment of fatigue was not part of the study design

Mutluay 2007

The assessment of fatigue was not part of the study design

Nilsagard 2013

The assessment of fatigue was not part of the study design

Patti 2003

The assessment of fatigue was not part of the study design

Paul 2014

The assessment of fatigue was not part of the study design

Rasova 2006

Not an RCT

Rodrigues 2008

The assessment of fatigue was not part of the study design

Romberg 2005

The assessment of fatigue was not part of the study design

Schwartz 2012

The assessment of fatigue was not part of the study design

Shanazari 2013

Unable to translate

Solari 1999

The assessment of fatigue was not part of the study design

Stephens 2001

No exercise intervention

RCT: randomized controlled trial.

Characteristics of studies awaiting assessment [ordered by study ID]

Pazokian 2013

Methods

Design: random assignment to stretching + aerobic exercise (SA), aerobic exercise (A), or control (C)

Setting: MS Society of Tehran, Iran

Participants

n = 120

Inclusion criteria: clinical definite MS, EDSS 1‐5.5

Exclusion criteria: unknown

Interventions

SA: stretching + aerobic exercise

A: Aerobic exercise

C: Control

Outcomes

Some demographic variables, disease variables, FSS

Notes

No English full‐text of this study was available during the conduction of this review. The above information was derived from the abstract

Summers 2000

Methods

Design: random assignment to home‐based endurance and resistance training (EX) versus a control (NEX)

Setting: community; mid‐Willamette Valley, Oregon, USA

Participants

n = 33; EX =17, NEX = 16

Inclusion criteria: healthy females with MS; ability to walk (with or without assistive device) for at least 20 metres without rest; not participated in a community‐based resistance training programme for at least 2 months prior to the study

Exclusion criteria:

Type MS: RRMS, PPMS, SPMS

Disease duration (yr) ± SD: EX = 12.3 ± 10.2, NEX = 14.9 ± 11.7

Mean age (yr) ± SD: EX = 51.4 ± 7.7, NEX = 49.5 ± 9.5

% Female (n): all female

Mean EDSS ± SD: EX = 3.7 ± 4.2, NEX = 3.4 ± 3.5

Interventions

EX: 6 supervised, regional‐based, instructional sessions on warm‐up, stretching, resistance exercises, and cool‐down. Followed by 6 weeks' home‐based functional resistance training. 5 different exercises: chair raises, forward lunges, step‐ups, toe‐raises, and hamstring curls. Weighted vests were included to increase intensity

NEX: Unknown

Outcomes

VAS‐Fatigue (daily), VAS‐Physical Activity (daily), EDSS, Health and History Questionnaire, CES‐D‐10, MAS, lower extremity power, TUG

Notes

Drop‐outs

EX: 1 MS relapse

NEX: 1 MS relapse, 2 conflicting schedules

Measurements

Baseline, 8 weeks (at both time points the actual measurement was preceded by a familiarization measurement on the day prior the actual one)

For an overview of abbreviations, see Appendix 5.

Data and analyses

Open in table viewer
Comparison 1. Overall analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

36

1603

Std. Mean Difference (IV, Random, 95% CI)

‐0.35 [‐0.57, ‐0.13]

Analysis 1.1

Comparison 1 Overall analysis, Outcome 1 Fatigue.

Comparison 1 Overall analysis, Outcome 1 Fatigue.

1.1 Exercise versus non‐exercise control

27

1325

Std. Mean Difference (IV, Random, 95% CI)

‐0.58 [‐0.81, ‐0.34]

1.2 Exercise versus exercise

9

278

Std. Mean Difference (IV, Random, 95% CI)

0.28 [0.00, 0.56]

Open in table viewer
Comparison 2. Sensitivity analysis (Intervention contrast)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1304

Std. Mean Difference (IV, Random, 95% CI)

‐0.53 [‐0.73, ‐0.33]

Analysis 2.1

Comparison 2 Sensitivity analysis (Intervention contrast), Outcome 1 Fatigue.

Comparison 2 Sensitivity analysis (Intervention contrast), Outcome 1 Fatigue.

Open in table viewer
Comparison 3. Per fatigue measure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1304

Std. Mean Difference (IV, Random, 95% CI)

‐0.53 [‐0.73, ‐0.33]

Analysis 3.1

Comparison 3 Per fatigue measure, Outcome 1 Fatigue.

Comparison 3 Per fatigue measure, Outcome 1 Fatigue.

1.1 Modified Fatigue Impact Scale (MFIS)

8

688

Std. Mean Difference (IV, Random, 95% CI)

‐0.40 [‐0.58, ‐0.22]

1.2 Fatigue Severity Scale (FSS)

13

449

Std. Mean Difference (IV, Random, 95% CI)

‐0.56 [‐0.95, ‐0.17]

1.3 Other

5

167

Std. Mean Difference (IV, Random, 95% CI)

‐0.54 [‐1.01, ‐0.07]

Open in table viewer
Comparison 4. Per exercise group (random‐effects model)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1299

Std. Mean Difference (IV, Random, 95% CI)

‐0.52 [‐0.72, ‐0.32]

Analysis 4.1

Comparison 4 Per exercise group (random‐effects model), Outcome 1 Fatigue.

Comparison 4 Per exercise group (random‐effects model), Outcome 1 Fatigue.

1.1 Endurance

11

266

Std. Mean Difference (IV, Random, 95% CI)

‐0.46 [‐0.78, ‐0.15]

1.2 Muscle power

4

207

Std. Mean Difference (IV, Random, 95% CI)

0.03 [‐0.65, 0.71]

1.3 Task‐oriented

2

36

Std. Mean Difference (IV, Random, 95% CI)

‐0.34 [‐1.02, 0.33]

1.4 Mixed

6

495

Std. Mean Difference (IV, Random, 95% CI)

‐0.73 [‐1.23, ‐0.23]

1.5 Other

9

295

Std. Mean Difference (IV, Random, 95% CI)

‐0.64 [1.00, ‐0.29]

Open in table viewer
Comparison 5. Per exercise group (fixed‐effect model)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1299

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.50 [‐0.62, ‐0.37]

Analysis 5.1

Comparison 5 Per exercise group (fixed‐effect model), Outcome 1 Fatigue.

Comparison 5 Per exercise group (fixed‐effect model), Outcome 1 Fatigue.

1.1 Endurance

11

266

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.43 [‐0.69, ‐0.17]

1.2 Muscle power

4

207

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.19 [‐0.53, 0.15]

1.3 Task‐oriented

2

36

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.34 [‐1.02, 0.33]

1.4 Mixed

6

495

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.63 [‐0.83, ‐0.43]

1.5 Other

9

295

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.54 [‐0.79, ‐0.29]

Open in table viewer
Comparison 6. Sensitivity analysis (methodological quality)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

14

801

Std. Mean Difference (IV, Random, 95% CI)

‐0.64 [‐0.95, ‐0.32]

Analysis 6.1

Comparison 6 Sensitivity analysis (methodological quality), Outcome 1 Fatigue.

Comparison 6 Sensitivity analysis (methodological quality), Outcome 1 Fatigue.

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included trials.
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included trials.

Funnel plot of trials comparing exercise versus a non‐exercise control condition.
Figuras y tablas -
Figure 3

Funnel plot of trials comparing exercise versus a non‐exercise control condition.

Comparison 1 Overall analysis, Outcome 1 Fatigue.
Figuras y tablas -
Analysis 1.1

Comparison 1 Overall analysis, Outcome 1 Fatigue.

Comparison 2 Sensitivity analysis (Intervention contrast), Outcome 1 Fatigue.
Figuras y tablas -
Analysis 2.1

Comparison 2 Sensitivity analysis (Intervention contrast), Outcome 1 Fatigue.

Comparison 3 Per fatigue measure, Outcome 1 Fatigue.
Figuras y tablas -
Analysis 3.1

Comparison 3 Per fatigue measure, Outcome 1 Fatigue.

Comparison 4 Per exercise group (random‐effects model), Outcome 1 Fatigue.
Figuras y tablas -
Analysis 4.1

Comparison 4 Per exercise group (random‐effects model), Outcome 1 Fatigue.

Comparison 5 Per exercise group (fixed‐effect model), Outcome 1 Fatigue.
Figuras y tablas -
Analysis 5.1

Comparison 5 Per exercise group (fixed‐effect model), Outcome 1 Fatigue.

Comparison 6 Sensitivity analysis (methodological quality), Outcome 1 Fatigue.
Figuras y tablas -
Analysis 6.1

Comparison 6 Sensitivity analysis (methodological quality), Outcome 1 Fatigue.

Summary of findings for the main comparison. Overall analysis for fatigue in multiple sclerosis

Effect of exercise therapy for fatigue in multiple sclerosis ‐ overall analysis

Patient or population: people with multiple sclerosis
Intervention: exercise therapy ‐ overall analysis

Outcomes

Illustrative comparative risks* (95% CI)

No of participants
(trials)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Overall analysis

Fatigue

No risk assumed

The mean fatigue outcome in the intervention groups was
0.35 standard deviations lower
(0.57 to 0.13 lower)

1603
(36 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

Exercise versus no‐exercise control

No risk assumed

The mean fatigue outcome in the intervention groups was 0.58 standard deviations lower (0.81 to 0.34 lower) compared to a no‐exercise control group

1325
(27 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

Exercise versus exercise

No risk assumed

The mean fatigue outcome in the intervention groups was 0.28 standard deviations higher (0 to 0.56 higher) compared to an exercise control group

278
(9 trials)

⊕⊕⊝⊝
low1,2

Indirectness (‐1)

Imprecision (‐1)

*The argumentation for downgrading the grades of evidence is provided in the footnotes.

CI: confidence interval.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 The presence of fatigue, beyond a pre‐defined level, was most often not an inclusion criterion. In addition, fatigue was not a primary outcome.
2 Contrast between the experimental and control exercise condition may be lacking.

Figuras y tablas -
Summary of findings for the main comparison. Overall analysis for fatigue in multiple sclerosis
Summary of findings 2. Per fatigue measure for fatigue in multiple sclerosis

Effect of exercise therapy for fatigue in multiple sclerosis ‐ analysis per fatigue measure

Patient or population: people with multiple sclerosis
Intervention: exercise therapy ‐ analysis per fatigue measure

Outcomes

Illustrative comparative risks* (95% CI)

No of participants
(trials)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Per fatigue measure

Modified Fatigue Impact Scale

No risk assumed

The mean fatigue, on the Modified Fatigue Impact Scale, in the intervention groups was 0.40 standard deviations lower (0.58 to 0.22 lower)

688
(8 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

Fatigue Severity Scale

No risk assumed

The mean fatigue, on the Fatigue Severity Scale, in the intervention groups was 0.56 standard deviations lower (0.95 to 17 lower)

449
(13 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

Other

No risk assumed

The mean fatigue, on the 'other' included fatigue measures, in the intervention groups was 0.54 standard deviations lower (1.01 to 0.07 lower)

167
(5 trials)

⊕⊕⊝⊝
low1,2

Indirectness (‐1)

Imprecision (‐1)

*The argumentation for downgrading the grades of evidence is provided in the footnotes.

CI: confidence interval.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 The presence of fatigue, beyond a pre‐defined level, was most often not an inclusion criterion. In addition, fatigue was not a primary outcome.
2 The category 'other' comprises the results on 2 different fatigue measures: POMS fatigue sub‐scale (3 trials), and Fatigue Scale for Motor and Cognitive functions (2 trials).

Figuras y tablas -
Summary of findings 2. Per fatigue measure for fatigue in multiple sclerosis
Summary of findings 3. Per exercise group for fatigue in multiple sclerosis

Effect of exercise therapy for fatigue in multiple sclerosis ‐ analysis per exercise modality

Patient or population: people with multiple sclerosis
Intervention: exercise therapy ‐ analysis per exercise modality

Outcomes

Illustrative comparative risks* (95% CI)

No of participants
(trials)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Per exercise group

Endurance training

No risk assumed

The mean fatigue outcome in the intervention groups applying endurance training was 0.43 standard deviations lower (0.69 to 0.17 lower)

266
(11 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

Muscle power training

No risk assumed

The mean fatigue outcome in the intervention groups applying muscle power training was 0.03 standard deviations higher (0.65 lower to 0.71 higher)

207
(4 trials)

⊕⊕⊝⊝
low1,2

Indirectness (‐1)

Imprecision (‐1)

Task‐oriented training

No risk assumed

The mean fatigue outcome in the intervention groups applying task‐oriented training was 0.34 standard deviations lower (1.02 lower to 0.33 higher)

36
(2 trials)

⊕⊝⊝⊝
very low1,3

Indirectness (‐1)

Imprecision (‐2)

Mixed training

No risk assumed

The mean fatigue outcome in the intervention groups applying mixed training was 0.73 standard deviations lower (1.23 to 0.23 lower)

495
(6 trials)

⊕⊕⊕⊝
moderate1

Indirectness (‐1)

'Other' training

No risk assumed

The mean fatigue outcome in the intervention groups applying 'Other' types of training was 0.54 standard deviations lower (0.79 to 0.29 lower)

295
(9 trials)

⊕⊕⊝⊝
low1,4

Indirectness (‐1)

Imprecision (‐1)

*The argumentation for downgrading the grades of evidence is provided in the footnotes. The data is some sub‐groups was heterogeneous, and in some homogeneous. Hence, data for this 'Summary of findings' table is extracted from Analysis 4.1 and 5.1.

CI: confidence interval.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 The presence of fatigue, beyond a pre‐defined level, was most often not an inclusion criterion. In addition, fatigue was not a primary outcome.
2 Small number of trials showing effects with different directions.
3 The effect of task‐oriented training on fatigue was based on 2 trials.
4 The exercise modality 'other' constitutes a variety of different interventions that may have different underlying working mechanisms, for example, yoga and sport climbing.

Figuras y tablas -
Summary of findings 3. Per exercise group for fatigue in multiple sclerosis
Table 1. Risk of bias

Study ID

Fatigue scale

ITT

1

2

3

4

5

6

7

8

9

10

Total

score

Ahmadi 2013

FSS

no

1

0

1

0

0

0

1

1

1

1

6

Aydin 2014

FSS

no

1

0

1

0

0

0

1

0

1

1

5

Bansi 2013

FSMC

no

1

1

1

0

0

0

1

1

1

1

7

Brichetto 2013

MFIS

no

1

0

1

0

0

0

1

1

1

1

6

Briken 2014

MFIS

no

1

1

0

0

0

0

1

0

1

1

5

Burschka 2014

FSMC

no

0

0

0

0

0

0

0

0

1

1

2

Cakt 2010

FSS

no

1

1

1

0

0

0

0

0

1

1

5

Carter 2014

MFIS

yes

1

1

1

0

0

0

1

1

1

1

7

Castro‐Sanchez 2012

MFIS, FSS

no

1

1

1

0

0

0

1

0

1

1

6

Collett 2011

FSS

yes

1

1

1

0

0

0

1

1

1

1

7

Coote 2014

MFIS

no

1

1

1

0

0

0

0

1

1

1

6

Dalgas 2010

FSS

no

1

1

1

0

0

0

0

1

1

1

6

Dettmers 2009

MFIS

no

1

1

1

0

0

0

0

1

0

0

4

Dodd 2011

MFIS

yes

1

1

1

0

0

0

1

1

1

1

7

Frevel 2014

MFIS, FSS

no

1

0

1

0

0

0

1

0

1

1

5

Fry 2007

FSS

no

1

0

1

0

0

0

1

1

0

1

5

Gandolfi 2014

FSS

no

1

1

1

0

0

0

0

1

1

1

6

Garrett 2013

MFIS

no

1

1

1

0

0

0

0

1

1

1

6

Geddes 2009

FSS

no

1

0

1

0

0

0

0

1

1

1

5

Hayes 2011

FSS

no

1

0

1

0

0

0

1

1

1

1

6

Hebert 2011

MFIS

yes

1

1

1

0

0

0

1

1

1

1

7

Hogan 2014

MFIS

no

1

1

0

0

0

0

0

1

1

1

5

Kargarfard 2012

MFIS

yes

1

1

1

0

0

0

0

1

1

1

6

Klefbeck 2003

FSS

no

1

0

1

0

0

0

1

0

1

1

5

Learmonth 2011

FSS

yes

1

1

1

0

0

0

0

1

1

1

6

McCullagh 2008

MFIS

no

0

0

1

0

0

0

0

1

1

1

4

Mori 2011

FSS

no

1

0

1

0

0

0

1

1

0

0

4

Mostert 2002

FSS

no

1

0

1

0

0

0

0

0

0

1

3

Negahban 2013

FSS

no

1

0

1

0

0

0

1

1

1

1

6

Oken 2004

MFI (general)

no

1

0

1

0

0

0

0

1

0

1

4

Petajan 1996

POMS fatigue, FSS

no

1

0

1

0

0

0

0

1

0

1

4

Plow 2009

MFIS

no

1

0

0

0

0

0

0

1

0

0

2

Rampello 2007

MFIS

no

1

0

1

0

0

0

0

1

1

1

5

Sabapathy 2010

MFIS

no

1

0

1

0

0

0

0

1

1

1

5

Sangelaji 2014

FSS

no

1

0

1

0

0

0

0

1

0

0

3

Schulz 2004

MFIS

no

1

0

0

0

0

0

1

1

1

1

5

Smedal 2011

FSS

yes

1

0

1

0

0

0

1

1

1

1

6

Skjerbaek 2014

FSMC

no

1

1

1

0

0

0

1

1

1

1

7

Straudi 2014

FSS

yes

1

0

1

0

0

0

1

1

1

1

6

Surakka 2004

FSS

no

1

0

1

0

0

0

0

1

1

1

5

Sutherland 2001

POMS fatigue

no

1

0

1

0

0

0

1

1

1

1

6

Tarakci 2013

FSS

no

1

1

1

0

0

0

1

1

1

1

7

van den Berg 2006

FSS

no

1

1

1

0

0

0

0

1

1

1

7

Velikonja 2010

MFIS

no

1

0

0

0

0

0

1

0

0

1

4

Wier 2011

FSS

no

1

0

1

0

0

0

1

1

1

0

5

% of trials

96%

42%

87%

0%

0%

0%

53%

80%

80%

89%

Risk of bias assessment based on the PEDro scale; see Appendix 5 for abbreviations.

1: Random allocation.

2: Concealed allocation.

3: Groups similar at baseline on disease severity, fatigue, and depression (if reported).

4: Blinding of all participants (zero per definition).

5: Blinding of all therapists.

6: Blinding of assessors.

7: Measures of key outcome (fatigue) > 85% of participants initially allocated to group (rated for fatigue outcome).

8: All participants of whom outcome is available received treatment or control; if not, intention‐to‐treat (ITT) analysis was performed.

9: Between‐group statistics of fatigue outcome reported.

10: Point measures and measures of variability for fatigue provided.

Figuras y tablas -
Table 1. Risk of bias
Table 2. Group‐by‐time effects (interaction) of included trials: exercise versus control

Study

Time (i.e. duration of intervention)

Fatigue scale

Effect

Other outcomes

Effect

Ahmadi 2013

Compared aerobic training vs. control

8 weeks

FSS

BBS

Walk time

Walk distance

BDI

BAI

+

+

ns

ns

Ahmadi 2013

Compared yoga vs. control

8 weeks

FSS

BBS

Walk time

Walk distance

BDI

BAI

+

ns

+

Brichetto 2013

Compared Nintendo® Wii® balance training vs. control

4 weeks

MFIS

ns

BBS

Open‐eye stabilometry

Closed‐eye stabilometry

+

Briken 2014

Compared arm‐ergometry vs. control

10 weeks

MFIS

VO2peak

6MWT

SDMT

VLMT

TAP (alertness)

TAP (shift of attention)

LPS

RWT

IDS ‐ SR30

ns

+

ns

+

ns

ns

ns

Briken 2014

Compared rowing vs. control

10 weeks

MFIS

ns

VO2peak

6MWT

SDMT

VLMT

TAP (alertness)

TAP (shift of attention)

LPS

RWT

IDS ‐ SR30

ns

ns

ns

+

ns

ns

ns

ns

ns

Briken 2014

Compared bicycling vs. control

10 weeks

MFIS

ns

VO2peak

6MWT

SDMT

VLMT

TAP (alertness)

TAP (shift of attention)

LPS

RWT

IDS ‐ SR30

+

+

ns

+

ns

ns

Burschka 2014

Compared Tai‐Chi yoga vs. control

* no change of fatigue in experimental group, increase in fatigue in control group

24 weeks

FSMC*

Balance

Co‐ordination

CES‐D

QLS

+

+

+

Cakt 2010

Compared progressive resistance training vs. control

8 weeks

FSS

Duration of exercise

Wmax

TUG

DGI

FR

FES

10MWT

BDI

SF‐36

+

+

+

+

unk

Cakt 2010

Compared home‐based exercise vs. control

8 weeks

FSS

ns

Duration of exercise

Wmax

TUG

DGI

FR

FES

10MWT

BDI

SF‐36

ns

ns

ns

ns

ns

ns

ns

ns

unk

Carter 2014

Compared a pragmatic exercise intervention vs. control

12 weeks

MFIS

GLTEQ

Accelerometer

MSQoL‐54

MSFC

6MWT

EDSS

+

+

+

ns

ns

ns

Castro‐Sanchez 2012

Compared Ai‐Chi aquatic programme vs. control

20 weeks

FSS

MFIS

‐ physical

‐ cognitive

‐ psychosocial

ns

ns

ns

Pain

MPQ‐PRI

MPQ‐PPI

RMDQ

Spasm
MSIS‐29

‐ physical

‐ psychological

BDI

BI

ns

ns

Dalgas 2010

Compared progressive resistance training vs. control

12 weeks

FSS

MFI‐20

‐ General fatigue

‐ Physical fatigue

‐ Reduced activity

‐ Reduced motivation

‐ Mental fatigue

ns

ns

ns

ns

MDI

SF‐36

‐ PCS

‐ MCS

MVC (knee extensor)

FS (%)

ns

+

+

Dodd 2011

Compared progressive resistance training vs. control

10 weeks

MFIS

‐ physical

‐ cognitive

‐ psychosocial

ns

ns

MSIS‐88 muscle stiffness

MSIS‐88 muscle spasms

2MWT

Walking speed

Leg press endurance (repetitions)

Reversed leg press endurance (repetitions)

1RM leg press (kg)

1RM reversed leg press (kg)

WHOQoL‐BREF overall quality of life

WHOQoL‐BREF overall health

WHOQoL‐BREF physical health

ns

ns

ns

ns

ns

+

ns

ns

ns

ns

+

Fry 2007

Compared inspiratory muscle training vs. control

10 weeks

No interaction effects reported

Garrett 2013

Compared physiotherapist‐led exercise vs. control

10 weeks

MFIS

‐ physical

‐ cognitive

ns

MSIS‐29 physical component

MSIS‐29 cognitive component

6MWT

+

Garrett 2013

Compared fitness instructor‐led exercise vs. control

10 weeks

MFIS

‐ physical

‐ cognitive

ns

MSIS‐29 physical component

MSIS‐29 cognitive component

6MWT

+

Garrett 2013

Compared yoga vs. control

10 weeks

MFIS

‐ physical

‐ cognitive

ns

MSIS‐29 physical component

MSIS‐29 cognitive component

6MWT

ns

ns

Geddes 2009

Compared home walking vs. control

12 weeks

FSS

ns

6MWT

PCI

RPE

ns

ns

ns

Hebert 2011

Compared vestibular rehabilitation vs. no exercise control

6 weeks

MFIS

SOT

DHI

6MWT

+

ns

Hebert 2011

Compared exercise control vs. no exercise control

6 weeks

MFIS

ns

SOT

DHI

6MWT

ns

ns

ns

Hogan 2014

Compared group physiotherapy vs. control

10 weeks

MFIS

ns

BBS

6MWT

MSIS29v2

+

ns

ns

Hogan 2014

Compared individual physiotherapy vs. control

10 weeks

MFIS

ns

BBS

6MWT

MSIS29v2

+

ns

ns

Hogan 2014

Compared yoga vs. control

10 weeks

MFIS

ns

BBS

6MWT

MSIS29v2

+

ns

ns

Kargarfard 2012

Compared aquatic training vs. control

8 weeks

MFIS

‐ physical

‐ psychosocial

‐ cognitive

MSQoL‐54

‐ Physical

‐ Mental

+

+

Klefbeck 2003

Compared inspiratory muscle training vs. control

10 weeks

No interaction effects reported

Learmonth 2011

Compared leisure centre‐based exercise group vs. control

12 weeks

FSS

ns

T25FW

6MWT

BBS

TUG

QPW

BMI

PF

ABC

HADS

LMSQoL

ns

ns

ns

ns

ns

ns

+

ns

ns

ns

McCullagh 2008

Compared group circuit training vs. control

12 weeks

No interaction effects reported

Mori 2011

Compared transcranial magnetic stimulation (TMS) vs. control

2 weeks

No interaction effects reported

Mori 2011

Compared exercise control vs. control

2 weeks

No interaction effects reported

Mostert 2002

Compared short‐term exercise vs. control

4 weeks

No interaction effects reported

Negahban 2013

Compared exercise therapy vs. control

5 weeks

FSS

VAS scale for pain

MAS

BBS

TUG

10MWT

2MWT

MSQoL‐54

ns

+

+

ns

Negahban 2013

Compared massage + exercise therapy vs. control

5 weeks

FSS

VAS scale for pain

MAS

BBS

TUG

10MWT

2MWT

MSQoL‐54

ns

+

+

ns

Oken 2004

Compared Iyengar yoga classes plus home programme vs. control

24 weeks

No interaction effects reported

Oken 2004

Compared weekly bicycle exercise classes along with home exercise vs. control

24 weeks

No interaction effects reported

Petajan 1996

Compared aerobic training vs. control

15 weeks

FSS

POMS

‐ fatigue

ns

ns

EDSS

ISS

VO2max

PWC

HRmax

Upper extremity strength

Lower extremity strength

POMS

SIP

ns

ns

+

+

ns

+

+

ns

ns

Sangelaji 2014

Compared combination exercise therapy vs. control

10 weeks

FSS

EDSS

BBS

6MWT

MSQoL

ns

+

+

+

Schulz 2004

Compared aerobic interval training vs. control

8 weeks

MFIS

‐ physical

‐ cognitive

‐ social

ns

ns

ns

ns

Wmax

VO2max

HRmax

W endurance

Lactate change

Immune and neurotrophic factors

IL‐6 (rest)

IL‐6 (AUC)

sIL‐6R (rest)

sIL‐6R (AUC)

BDNF (rest)

BDNF (AUC)

NGF (rest)

NGF (AUC)

HAQUAMS

‐ fatigue/thinking

‐ mobility lower

‐ mobility upper

‐ social function

‐ mood

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

Skjerbaek 2014

Compared endurance training vs. control

4 weeks

FSMC

ns

VO2peak

HRpeak

9HPT

Hand grip power

Box and blocks

6‐minute wheelchair

MDI

MSIS‐29

ns

ns

ns

ns

ns

ns

ns

ns

Straudi 2014

Compared task‐oriented circuit training vs. control

2 weeks

FSS

ns

10MWT

6MWT

TUG

DGI

MSWS‐12

MSIS‐29

‐ physical

‐ psychosocial

‐ psychological

ns

+

ns

ns

+

+

+

Surakka 2004

Compared inpatient rehabilitation plus home‐based exercise vs. control

26 weeks

FSS

ns

Leg flexor/extensor torque

Motor fatigue

Ambulatory fatigue index

ns

ns

ns

Sutherland 2001

Compared aerobic aquatic training vs. control

10 weeks

No interaction effects reported

Tarakci 2013

Compared group exercise programme vs. control

12 weeks

FSS

BBS

10MWT
10SCT

R Hip flexors MAS
L Hip flexors MAS

R Hamstring MAS
L Hamstring MAS

R Achilles MAS
L Achilles MAS

MusiQoL

+

+

van den Berg 2006

Compared treadmill exercise vs. control (cross‐over)

4 weeks

No interaction effects reported

ns, non‐significant; '+', a significant group‐by‐time effect in favour of the exercise group versus the non‐exercise control group; '‐' , a significant negative group‐by‐time effect in the exercise group versus the non‐exercise control group. For an overview of abbreviations, see Appendix 5.

Figuras y tablas -
Table 2. Group‐by‐time effects (interaction) of included trials: exercise versus control
Table 3. Group‐by‐time effects (interaction) of included trials: exercise versus exercise

Study

Time (i.e. duration of intervention)

Fatigue scale

Effect

Other outcomes

Effect

Ahmadi 2013

Compared aerobic training vs. yoga

8 weeks

FSS

ns

BBS

Walk time

Walk distance

BDI

BAI

ns

ns

ns

ns

Aydin 2014

Compared hospital‐based callisthenic exercise vs. home‐based callisthenic exercise

12 weeks

FSS

ns

10MWT

BBS

MusiQoL

HADS depression

HADS anxiety

ns

+

ns

+

ns

Bansi 2013

Compared overland endurance training vs. aquatic endurance training

3 weeks

FSMC

‐ motor

‐ cognitive

ns

ns

ns

Loadmax

VO2peak

HRpeak

BORG

ns

ns

ns

ns

Briken 2014

Compared arm‐ergometry vs. rowing

10 weeks

No interaction effects reported

Briken 2014

Compared rowing vs. bicycling ergometry

10 weeks

No interaction effects reported

Briken 2014

Compare arm‐ergometry vs. bicycling ergometry

10 weeks

No interaction effects reported

Cakt 2010

Compared progressive resistance training vs. home‐based exercise

8 weeks

FSS

Duration of exercise

Wmax

TUG

DGI

FR

FES

10MWT

BDI

SF‐36

+

+

+

+

ns

unk

Collett 2011

Compared endurance training vs. intermittent endurance training

12 weeks

No interaction effects reported

Collett 2011

Compared intermittent training vs. mixed endurance training

12 weeks

No interaction effects reported

Collett 2011

Compared endurance training vs. mixed endurance training

12 weeks

No interaction effects reported

Coote 2014

Compared progressive resistance training vs. progressive resistance training augmented by neuromuscular electrical stimulation

12 weeks

MFIS

Quadriceps strength

Hip strength

Quadriceps endurance

VAS lower limb spasticity

TUG

MSWS‐12

BBS

MSIS29v2

ns

ns

ns

ns

ns

ns

ns

ns

Dettmers 2009

Compared endurance training vs. control treatment

3 weeks

MFIS

ns

FSMC

Maximal walking distance

rWa

BDI

HAQUAMS

ns

+

+

ns

ns

Frevel 2014

Compare Internet home‐based training vs. hippotherapy

12 weeks

MFIS

FSS

ns

ns

BBS

DGI

Isometric muscle strength

TUG

2MWT

HAQUAMS

ns

ns

ns

ns

ns

ns

Gandolfi 2014

Compared robot‐assisted gait training vs. sensory integration balance training

6 weeks

FSS

ns

Gait analysis

BBS

SOT

Stabilometric assessment

MSQoL‐54

ns

ns

ns

ns

ns

Garrett 2013

Compared physiotherapist‐led exercise vs. fitness instructor‐led exercise

10 weeks

No interaction effects reported

Garrett 2013

Compared fitness instructor‐led exercise vs. yoga

10 weeks

No interaction effects reported

Garrett 2013

Compared physiotherapist‐led exercise vs. yoga

10 weeks

No interaction effects reported

Hayes 2011

Compared a resistance training programme supplementary to a standard exercise programme vs. standard exercise programme

12 weeks

FSS

ns

Isometric strength

6MWT

TUG

Stair ascent

Stair descent

10MWT self paced

10MWT max paced

BBS

ns

ns

ns

+

+

ns

ns

Hebert 2011

Compared vestibular rehabilitation vs. exercise control

6 weeks

MFIS

SOT

DHI

6MWT

+

ns

Hogan 2014

Compared group physiotherapy vs. individual physiotherapy

10 weeks

MFIS

unk

BBS

6MWT

MSIS29v2

ns

unk

unk

Hogan 2014

Compared individual physiotherapy vs. yoga

10 weeks

No interaction effects reported

Hogan 2014

Compared group physiotherapy vs. yoga

10 weeks

No interaction effects reported

Mori 2011

Compared transcranial magnetic stimulation (TMS) vs. exercise control

2 weeks

No interaction effects reported

Negahban 2013

Compared exercise therapy vs. exercise therapy + massage

5 weeks

FSS

ns

VAS scale for pain

MAS

BBS

TUG

10MWT

2MWT

MSQoL‐54

ns

ns

ns

ns

ns

ns

Oken 2004

Compared Iyengar yoga classes vs. weekly bicycle exercise classes

24 weeks

No interaction effects reported

Plow 2009

Compared individualized physical rehabilitation vs. group wellness intervention

8 weeks

No interaction effects reported

Rampello 2007

Compared aerobic training vs. neurorehabilitation programme (cross‐over)

8 weeks

No interaction effects reported

Sabapathy 2011

Compared resistance training vs. endurance training (cross‐over)

8 weeks

No interaction effects reported

Smedal 2011

Compared warm vs. cold climate physiotherapy

4 weeks

FSS

ns

6MWT

RPE

TUG

10MWT

BBS

TIS

MSIS‐29 physical

MSIS‐29 psychosocial

MHAQ

Pain

Balance

Gait

+

ns

ns

ns

ns

Velikonja 2010

Compared sports climbing vs. yoga

10 weeks

No interaction effects reported

Wier 2011

Compared robot‐assisted treadmill training vs. body‐weight supported treadmill training

3 weeks

No interaction effects reported

ns, non‐significant; '+', a significant group‐by‐time effect in favour of the experimental exercise condition versus the exercise control condition; '‐' , a significant negative group‐by‐time effect in the experimental exercise condition versus the exercise control condition; unk, unknown. For an overview of abbreviations, see Appendix 5.

Figuras y tablas -
Table 3. Group‐by‐time effects (interaction) of included trials: exercise versus exercise
Comparison 1. Overall analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

36

1603

Std. Mean Difference (IV, Random, 95% CI)

‐0.35 [‐0.57, ‐0.13]

1.1 Exercise versus non‐exercise control

27

1325

Std. Mean Difference (IV, Random, 95% CI)

‐0.58 [‐0.81, ‐0.34]

1.2 Exercise versus exercise

9

278

Std. Mean Difference (IV, Random, 95% CI)

0.28 [0.00, 0.56]

Figuras y tablas -
Comparison 1. Overall analysis
Comparison 2. Sensitivity analysis (Intervention contrast)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1304

Std. Mean Difference (IV, Random, 95% CI)

‐0.53 [‐0.73, ‐0.33]

Figuras y tablas -
Comparison 2. Sensitivity analysis (Intervention contrast)
Comparison 3. Per fatigue measure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1304

Std. Mean Difference (IV, Random, 95% CI)

‐0.53 [‐0.73, ‐0.33]

1.1 Modified Fatigue Impact Scale (MFIS)

8

688

Std. Mean Difference (IV, Random, 95% CI)

‐0.40 [‐0.58, ‐0.22]

1.2 Fatigue Severity Scale (FSS)

13

449

Std. Mean Difference (IV, Random, 95% CI)

‐0.56 [‐0.95, ‐0.17]

1.3 Other

5

167

Std. Mean Difference (IV, Random, 95% CI)

‐0.54 [‐1.01, ‐0.07]

Figuras y tablas -
Comparison 3. Per fatigue measure
Comparison 4. Per exercise group (random‐effects model)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1299

Std. Mean Difference (IV, Random, 95% CI)

‐0.52 [‐0.72, ‐0.32]

1.1 Endurance

11

266

Std. Mean Difference (IV, Random, 95% CI)

‐0.46 [‐0.78, ‐0.15]

1.2 Muscle power

4

207

Std. Mean Difference (IV, Random, 95% CI)

0.03 [‐0.65, 0.71]

1.3 Task‐oriented

2

36

Std. Mean Difference (IV, Random, 95% CI)

‐0.34 [‐1.02, 0.33]

1.4 Mixed

6

495

Std. Mean Difference (IV, Random, 95% CI)

‐0.73 [‐1.23, ‐0.23]

1.5 Other

9

295

Std. Mean Difference (IV, Random, 95% CI)

‐0.64 [1.00, ‐0.29]

Figuras y tablas -
Comparison 4. Per exercise group (random‐effects model)
Comparison 5. Per exercise group (fixed‐effect model)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

26

1299

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.50 [‐0.62, ‐0.37]

1.1 Endurance

11

266

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.43 [‐0.69, ‐0.17]

1.2 Muscle power

4

207

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.19 [‐0.53, 0.15]

1.3 Task‐oriented

2

36

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.34 [‐1.02, 0.33]

1.4 Mixed

6

495

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.63 [‐0.83, ‐0.43]

1.5 Other

9

295

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.54 [‐0.79, ‐0.29]

Figuras y tablas -
Comparison 5. Per exercise group (fixed‐effect model)
Comparison 6. Sensitivity analysis (methodological quality)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fatigue Show forest plot

14

801

Std. Mean Difference (IV, Random, 95% CI)

‐0.64 [‐0.95, ‐0.32]

Figuras y tablas -
Comparison 6. Sensitivity analysis (methodological quality)