1. Dunn J. Impact of mobility impairment on the burden of caregiving in individuals with multiple sclerosis.
Expert Rev Pharmacoecon Outcomes Res 2010;10:433-440.
2. Giovannoni G, Butzkueven H, Dhib-Jalbut S, Hobart J, Kobelt G, Pepper G, et al. Brain health: time matters in multiple sclerosis.
Mult Scler Relat Disord 2016;9 Suppl 1:S5-S48.
5. Kappos L, Wolinsky JS, Giovannoni G, Arnold DL, Wang Q, Bernasconi C, et al. Contribution of relapse-independent progression vs relapse-associated worsening to overall confirmed disability accumulation in typical relapsing multiple sclerosis in a pooled analysis of 2 randomized clinical trials.
JAMA Neurol 2020;77:1132-1140.
6. Müller J, Sharmin S, Lorscheider J, Ozakbas S, Karabudak R, Horakova D, et al. Standardized definition of progression independent of relapse activity (PIRA) in relapsing-remitting multiple sclerosis.
JAMA Neurol 2025;82:614-625.
8. Kappos L, Yiu S, Dahlke F, Coetzee T, Cutter GR, Yuen S, et al. Composite confirmed disability worsening/progression is a useful clinical endpoint for multiple sclerosis clinical trials.
Neurology 2025;104:e213558.
9. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).
Neurology 1983;33:1444-1452.
10. Amato MP, Fratiglioni L, Groppi C, Siracusa G, Amaducci L. Interrater reliability in assessing functional systems and disability on the Kurtzke scale in multiple sclerosis.
Arch Neurol 1988;45:746-748.
11. Noseworthy JH, Vandervoort MK, Wong CJ, Ebers GC. Interrater variability with the expanded disability status scale (EDSS) and functional systems (FS) in a multiple sclerosis clinical trial. The Canadian Cooperation MS Study Group.
Neurology 1990;40:971-975.
12. Hobart J, Freeman J, Thompson A. Kurtzke scales revisited: the application of psychometric methods to clinical intuition.
Brain 2000;123:1027-1040.
14. Çinar BP, Yorgun YG. What we learned from the history of multiple sclerosis measurement: expanded disability status scale.
Noro Psikiyatr Ars 2018;55:S69-S75.
15. Cutter GR, Baier ML, Rudick RA, Cookfair DL, Fischer JS, Petkau J, et al. Development of a multiple sclerosis functional composite as a clinical trial outcome measure.
Brain 1999;122:871-882.
16. Fischer JS, Rudick RA, Cutter GR, Reingold SC. The multiple sclerosis functional composite measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force.
Mult Scler 1999;5:244-250.
17. Zurawski J, Glanz BI, Chua A, Lokhande H, Rotstein D, Weiner H, et al. Time between expanded disability status scale (EDSS) scores.
Mult Scler Relat Disord 2019;30:98-103.
18. Amato MP, Ponziani G, Bartolozzi ML, Siracusa G. A prospective study on the natural history of multiple sclerosis: clues to the conduct and interpretation of clinical trials.
J Neurol Sci 1999;168:96-106.
19. Weinshenker BG, Bass B, Rice GP, Noseworthy J, Carriere W, Baskerville J, et al. The natural history of multiple sclerosis: a geographically based study. I. Clinical course and disability.
Brain 1989;112:133-146.
20. Kalincik T, Cutter G, Spelman T, Jokubaitis V, Havrdova E, Horakova D, et al. Defining reliable disability outcomes in multiple sclerosis.
Brain 2015;138:3287-3298.
21. Miller DM, Rudick RA, Cutter G, Baier M, Fischer JS. Clinical significance of the multiple sclerosis functional composite: relationship to patient-reported quality of life.
Arch Neurol 2000;57:1319-1324.
22. Rudick RA, Polman CH, Cohen JA, Walton MK, Miller AE, Confavreux C, et al. Assessing disability progression with the multiple sclerosis functional composite.
Mult Scler 2009;15:984-997.
23. Rudick RA, Cutter G, Baier M, Fisher E, Dougherty D, Weinstock- Guttman B, et al. Use of the multiple sclerosis functional composite to predict disability in relapsing MS.
Neurology 2001;56:1324-1330.
24. Uitdehaag BM, Adèr HJ, Roosma TJ, de Groot V, Kalkers NF, Polman CH. Multiple sclerosis functional composite: impact of reference population and interpretation of changes.
Mult Scler 2002;8:366-371.
25. Fox RJ, Lee JC, Rudick RA. Optimal reference population for the multiple sclerosis functional composite.
Mult Scler 2007;13:909-914.
26. Drake AS, Weinstock-Guttman B, Morrow SA, Hojnacki D, Munschauer FE, Benedict RH. Psychometrics and normative data for the multiple sclerosis functional composite: replacing the PASAT with the symbol digit modalities test.
Mult Scler 2010;16:228-237.
27. Sonder JM, Burggraaff J, Knol DL, Polman CH, Uitdehaag BM. Comparing long-term results of PASAT and SDMT scores in relation to neuropsychological testing in multiple sclerosis.
Mult Scler 2014;20:481-488.
28. Brochet B, Deloire MS, Bonnet M, Salort-Campana E, Ouallet JC, Petry KG, et al. Should SDMT substitute for PASAT in MSFC? A 5-year longitudinal study.
Mult Scler 2008;14:1242-1249.
29. LaRocca NG, Hudson LD, Rudick R, Amtmann D, Balcer L, Benedict R, et al. The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability.
Mult Scler 2018;24:1469-1484.
34. Goldman MD, LaRocca NG, Rudick RA, Hudson LD, Chin PS, Francis GS, et al. Evaluation of multiple sclerosis disability outcome measures using pooled clinical trial data.
Neurology 2019;93:e1921-e1931.
35. Kieseier BC, Pozzilli C. Assessing walking disability in multiple sclerosis.
Mult Scler 2012;18:914-924.
36. Goldman MD, Motl RW, Scagnelli J, Pula JH, Sosnoff JJ, Cadavid D. Clinically meaningful performance benchmarks in MS: timed 25-foot walk and the real world.
Neurology 2013;81:1856-1863.
37. Lamers I, Kelchtermans S, Baert I, Feys P. Upper limb assessment in multiple sclerosis: a systematic review of outcome measures and their psychometric properties.
Arch Phys Med Rehabil 2014;95:1184-1200.
38. Newsome SD, von Geldern G, Shou H, Baynes M, Marasigan RER, Calabresi PA, et al. Longitudinal assessment of hand function in individuals with multiple sclerosis.
Mult Scler Relat Disord 2019;32:107-113.
39. Kragt JJ, van der Linden FA, Nielsen JM, Uitdehaag BM, Polman CH. Clinical impact of 20% worsening on timed 25-foot walk and 9-hole peg test in multiple sclerosis.
Mult Scler 2006;12:594-598.
41. Costa SL, Genova HM, DeLuca J, Chiaravalloti ND. Information processing speed in multiple sclerosis: past, present, and future.
Mult Scler 2017;23:772-789.
42. Strober LB, Christodoulou C, Benedict RH, Westervelt HJ, Melville P, Scherl WF, et al. Unemployment in multiple sclerosis: the contribution of personality and disease.
Mult Scler 2012;18:647-653.
43. Nygaard GO, de Rodez Benavent SA, Harbo HF, Laeng B, Sowa P, Damangir S, et al. Eye and hand motor interactions with the symbol digit modalities test in early multiple sclerosis.
Mult Scler Relat Disord 2015;4:585-589.
44. Balcer LJ, Baier ML, Pelak VS, Fox RJ, Shuwairi S, Galetta SL, et al. New low-contrast vision charts: reliability and test characteristics in patients with multiple sclerosis.
Mult Scler 2000;6:163-171.
45. Balcer LJ, Baier ML, Cohen JA, Kooijmans MF, Sandrock AW, Nano-Schiavi ML, et al. Contrast letter acuity as a visual component for the multiple sclerosis functional composite.
Neurology 2003;61:1367-1373.
47. Wu GF, Schwartz ED, Lei T, Souza A, Mishra S, Jacobs DA, et al. Relation of vision to global and regional brain MRI in multiple sclerosis.
Neurology 2007;69:2128-2135.
48. Reich DS, Smith SA, Gordon-Lipkin EM, Ozturk A, Caffo BS, Balcer LJ, et al. Damage to the optic radiation in multiple sclerosis is associated with retinal injury and visual disability.
Arch Neurol 2009;66:998-1006.
49. Baier ML, Cutter GR, Rudick RA, Miller D, Cohen JA, Weinstock-Guttman B, et al. Low-contrast letter acuity testing captures visual dysfunction in patients with multiple sclerosis.
Neurology 2005;64:992-995.
51. Fox RJ, Rudick RA. A newly validated gold standard for measuring multiple sclerosis disability worsening.
Neurology 2025;104:e213672.