Abstract
The progressive course of amyotrophic lateral sclerosis (ALS) results in an ever-changing spectrum of the care needs of patients with ALS. Knowledge of prognostic factors for the functional course of ALS may enhance clinical prediction and improve the timing of appropriate interventions. Our objective was to systematically review the evidence regarding prognostic factors for the rate of functional decline of patients with ALS, assessed with versions of the ALS Functional Rating Scale (ALSFRS). Two reviewers independently assessed the methodological quality of the thirteen included studies using the Quality in Prognosis Studies (QUIPS) tool. The overall quality of evidence for each prognostic factor was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, considering risk of bias, imprecision, inconsistency, indirectness, and publication bias. The quality of evidence for the prognostic value of age at onset, site of onset, time from symptom onset to diagnosis, and ALSFRS-Revised baseline score was low, mainly due to the limited data and inconsistency of results in the small number of studies included. The prognostic value of initial rate of disease progression, age at diagnosis, forced vital capacity, frontotemporal dementia, body mass index, and comorbidity remains unclear. We conclude that the current evidence on prognostic factors for functional decline in ALS is insufficient to allow the development of a prediction tool that can support clinical decisions. Given the limited data, future prognostic studies may need to focus on factors that have a predictive value for a decline in ALSFRS(-R) domain scores, preferably based on internationally collected and shared data.
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Brooks BR, Miller RG, Swash M, Munsat TL, World Federation of Neurology Research Group on Motor Neuron Diseases (2000) El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord 1:293–299
Turner MR, Hardiman O, Benatar M, Brooks BR, Chiò A, de Carvalho M, Ince PG, Lin C, Miller RG, Mitsumoto H, Nicholson G, Ravits J, Shaw PJ, Swash M, Talbot K, Traynor BJ, Van den Berg LH, Veldink JH, Vucic S, Kiernan MC (2013) Controversies and priorities in amyotrophic lateral sclerosis. Lancet Neurol 12:310–322. doi:10.1016/S1474-4422(13)70036-X
Goldstein LH, Abrahams S (2013) Changes in cognition and behaviour in amyotrophic lateral sclerosis: nature of impairment and implications for assessment. Lancet Neurol 12:368–380. doi:10.1016/S1474-4422(13)70026-7
Ng L, Khan F (2009) Multidisciplinary care for adults with amyotrophic lateral sclerosis or motor neuron disease. Cochrane Database Syst Rev 4:CD007425. doi:10.1002/14651858.CD007425.pub2
Scotton WJ, Scott KM, Moore DH, Almedom L, Wijesekera LC, Janssen A, Nigro C, Sakel M, Leigh PN, Shaw C, Al-Chalabi A (2012) Prognostic categories for amyotrophic lateral sclerosis. Amyotroph Lateral Scler 13:502–508. doi:10.3109/17482968.2012.679281
Turner MR, Kiernan MC, Leigh PN, Talbot K (2009) Biomarkers in amyotrophic lateral sclerosis. Lancet Neurol 8:94–109. doi:10.1016/S1474-4422(08)70293-X
Altman DG (2001) Systematic reviews of evaluations of prognostic variables. BMJ 323:224–228
Hogden A, Greenfield D, Nugus P, Kiernan MC (2013) Development of a model to guide decision making in amyotrophic lateral sclerosis multidisciplinary care. Health Expect 23:1–14. doi:10.1111/hex.12169
The ALS CNTF treatment study (ACTS) phase I-II Study Group (1996) The amyotrophic lateral sclerosis functional rating scale. Assessment of activities of daily living in patients with amyotrophic lateral sclerosis. Arch Neurol 53:141–147
Cedarbaum JM, Stambler N, Malta E, Fuller C, Hilt D, Thurmond B, Nakanishi A (1999) The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. J Neurol Sci 169:13–21
Gordon PH, Miller RG, Moore DH (2004) ALSFRS-R. Amyotroph Lateral Scler Other Motor Neuron Disord 5(Suppl 1):90–93
Kollewe K, Mauss U, Krampfl K, Petri S, Dengler R, Mohammadi B (2008) ALSFRS-R score and its ratio: a useful predictor for ALS-progression. J Neurol Sci 275:69–73. doi:10.1016/j.jns.2008.07.016
Hayden JA, Côté P, Bombardier C (2006) Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 144:427–437
Hayden JA, van der Windt DA, Cartwright JL, Côté P, Bombardier C (2013) Assessing bias in studies of prognostic factors. Ann Intern Med 158:280–286. doi:10.7326/0003-4819-158-4-201302190-00009
Guyatt GH, Oxman AD, Schünemann HJ, Tugwell P, Knottnerus A (2011) GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. J Clin Epidemiol 64:380–382. doi:10.1016/j.jclinepi.2010.09.011
Huguet A, Hayden JA, Stinson J, McGrath PJ, Chambers CT, Tougas ME, Wozney L (2013) Judging the quality of evidence in reviews of prognostic factor research: adapting the GRADE framework. Syst Rev 2:71. doi:10.1186/2046-4053-2-71
Balshem H, Helfand M, Schünemann HJ, Oxman AD, Kunz R, Brozek J, Vist GE, Falck-Ytter Y, Meerpohl J, Norris S, Guyatt GH (2011) GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol 64:401–406. doi:10.1016/j.jclinepi.2010.07.015
Centre for Reviews and Dissemination York (2008) Systematic Reviews. CRD’s Guidance for undertaking reviews in Health Care. Systematic reviews of clinical tests; pp 109–156. Available at http://www.york.ac.uk/inst/crd/pdf/Systematic_Reviews.pdf
Gomeni R, Fava M, Pooled Resource Open-Access ALS Clinical Trials Consortium (2014) Amyotrophic lateral sclerosis disease progression model. Amyotroph Lateral Scler Frontotemporal Degener 15:119–129. doi:10.3109/21678421.2013.838970
Clavelou P, Blanquet M, Peyrol F, Ouchchane L, Gerbaud L (2013) Rates of progression of weight and forced vital capacity as relevant measurement to adapt amyotrophic lateral sclerosis management for patient Result of a French multicentre cohort survey. J Neurol Sci 331:126–131. doi:10.1016/j.jns.2013.06.002
Elamin M, Bede P, Byrne S, Jordan N, Gallagher L, Wynne B, O’Brien C, Phukan J, Lynch C, Pender N, Hardiman O (2013) Cognitive changes predict functional decline in ALS: a population-based longitudinal study. Neurology 80:1590–1597. doi:10.1212/WNL.0b013e31828f18ac
Körner S, Kollewe K, Ilsemann J, Müller-Heine A, Dengler R, Krampfl K, Petri S (2013) Prevalence and prognostic impact of comorbidities in amyotrophic lateral sclerosis. Eur J Neurol 20:647–654. doi:10.1111/ene.12015
Reich-Slotky R, Andrews J, Cheng B, Buchsbaum R, Levy D, Kaufmann P, Thompson JL (2013) Body mass index (BMI) as predictor of ALSFRS-R score decline in ALS patients. Amyotroph Lateral Scler Frontotemporal Degener 14:212–216. doi:10.3109/21678421.2013.77028
Paganoni S, Zhang M, Quiroz Zárate A, Jaffa M, Yu H, Cudkowicz ME, Wills AM (2012) Uric acid levels predict survival in men with amyotrophic lateral sclerosis. J Neurol 259:1923–1928. doi:10.1007/s00415-012-6440-7
Gordon PH, Cheng B, Salachas F, Pradat PF, Bruneteau G, Corcia P, Lacomblez L, Meininger V (2010) Progression in ALS is not linear but is curvilinear. J Neurol 257:1713–1717. doi:10.1007/s00415-010-5609-1
Sorarù G, Ermani M, Logroscino G, Palmieri A, D’ Ascenzo C, Orsetti V, Volpe M, Cima V, Zara G, Pegoraro E, Angelini C (2010) Natural history of upper motor neuron-dominant ALS. Amyotroph Lateral Scler 11:424–429. doi:10.3109/17482960903300867
Qureshi M, Shui A, Dibernardo AB, Brown RH Jr, Schoenfeld DA, Cudkowicz ME (2008) Medications and laboratory parameters as prognostic factors in amyotrophic lateral sclerosis. Amyotroph Lateral Scler 9:369–374. doi:10.1080/17482960802163614
Krampe H, Bartels C, Victorson D, Enders CK, Beaumont J, Cella D, Ehrenreich H (2008) The influence of personality factors on disease progression and health-related quality of life in people with ALS. Amyotroph Lateral Scler 9:99–107. doi:10.1080/17482960701875805
Rauchway AC, Kaiboriboon K, Bansal SK, Kulkantrakorn K, Guo X, Parks BJ, Hayat GR (2007) A role for functional classification in the early identification of prognostic factors in ALS. Amyotroph Lateral Scler 8:214–216
Qureshi MM, Hayden D, Urbinelli L, Ferrante K, Newhall K, Myers D, Hilgenberg S, Smart R, Brown RH, Cudkowicz ME (2006) Analysis of factors that modify susceptibility and rate of progression in amyotrophic lateral sclerosis (ALS). Amyotroph Lateral Scler 7:173–182
De Carvalho M, Swash M (2006) Can selection of rapidly progressing patients shorten clinical trials in amyotrophic lateral sclerosis? Arch Neurol 63:557–560
Chiò A, Logroscino G, Hardiman O, Swingler R, Mitchell D, Beghi E, Traynor BG, Eurals Consortium (2009) Prognostic factors in ALS: a critical review. Amyotroph Lateral Scler 10:310–323. doi:10.3109/17482960802566824
Franchignoni F, Mora G, Giordano A, Volanti P, Chiò A (2013) Evidence of multidimensionality in the ALSFRS-R Scale: a critical appraisal on its measurement properties using Rasch analysis. J Neurol Neurosurg Psychiatry 84:1340–1345. doi:10.1136/jnnp-2012-304701
Grimby G, Tennant A, Tesio L (2012) The use of raw scores from ordinal scales: time to end malpractice? J Rehabil Med 44:97–98. doi:10.2340/16501977-0938
Kiernan MC, Vucic S, Cheah BC, Turner MR, Eisen A, Hardiman O, Burrell JR, Zoing MC (2011) Amyotrophic lateral sclerosis. Lancet 377:942–955. doi:10.1016/S0140-6736(10)61156-7
Ravits JM, La Spada AR (2009) ALS motor phenotype heterogeneity, focality, and spread: deconstructing motor neuron degeneration. Neurology 8(73):805–811. doi:10.1212/WNL.0b013e3181b6bbbd
Su XW, Broach JR, Connor JR, Gerhard GS, Simmons Z (2014) Genetic heterogeneity of amyotrophic lateral sclerosis: implications for clinical practice and research. Muscle Nerve 49:786–803. doi:10.1002/mus.24198
Ganesalingam J, Stahl D, Wijesekera L, Galtrey C, Shaw CE, Leigh PN, Al-Chalabi A (2009) Latent cluster analysis of ALS phenotypes identifies prognostically differing groups. PLoS One 4(9):e7107. doi:10.1371/journal.pone.0007107
Talman P, Forbes A, Mathers S (2009) Clinical phenotypes and natural progression for motor neuron disease: analysis from an Australian database. Amyotroph Lateral Scler 10:79–84. doi:10.1080/17482960802195871
Chiò A, Calvo A, Moglia C, Mazzini L, Mora G, PARALS study group, (2011) Phenotypic heterogeneity of amyotrophic lateral sclerosis: a population based study. J Neurol Neurosurg Psychiatry 82:740–746. doi:10.1136/jnnp.2010.235952
Sabatelli M, Zollino M, Luigetti M, Grande AD, Lattante S, Marangi G, Monaco ML, Madia F, Meleo E, Bisogni G, Conte A (2011) Uncovering amyotrophic lateral sclerosis phenotypes: clinical features and long-term follow-up of upper motor neuron-dominant ALS. Amyotroph Lateral Scler 12:278–282. doi:10.3109/17482968.2011.580849
Roche JC, Rojas-Garcia R, Scott KM, Scotton W, Ellis CE, Burman R, Wijesekera L, Turner MR, Leigh PN, Shaw CE, Al-Chalabi A (2012) A proposed staging system for amyotrophic lateral sclerosis. Brain 135(Pt 3):847–852. doi:10.1093/brain/awr351
Bedlack RS (2013) The importance of functional assessment in amyotrophic lateral sclerosis: a Clinical Review. Neurology reviews [Supplement];S1–S4. URL: http://www.neurologyreviews.com/fileadmin/qhi_archive/ArticlePDF/NR/0210100S1.pdf
Egger M, Zellweger-Zahner T, Schneider M, Junker C, Lengeler C, Antes G (1997) Language bias in randomised controlled trials published in English and German. Lancet 350:326–329
Moher D, Fortin P, Jadad AR, Jüni P, Klassen T, Le Lorier J, Liberati A, Linde K, Penna A (1996) Completeness of reporting of trials published in languages other than English: implications for conduct and reporting of systematic reviews. Lancet 347:363–366
Voustianiouk A, Seidel G, Panchal J, Sivak M, Czaplinski A, Yen A, Appel SH, Lange DJ (2008) ALSFRS and appel ALS scores: discordance with disease progression. Muscle Nerve 37:668–672. doi:10.1002/mus.20977
Riley RD, Hayden JA, Steyerberg EW, Moons KG, Abrams K, Kyzas PA, Malats N, Briggs A, Schroter S, Altman DG, Hemingway H PROGRESS Group (2013) Prognosis Research Strategy (PROGRESS) 2: prognostic factor research. PLoS Med 10:e1001380. doi:10.1371/journal.pmed.1001380
Conflicts of interest
H. Creemers, A. Beelen, and H. Grupstra declare that they have no conflict of interest. F. Nollet serves on the editorial board of the Journal of Rehabilitation Medicine and the scientific advisory board of the Anna Fund. L.H. van den Berg received travel grants and consultancy fees from Baxter; serves on scientific advisory boards for Prinses Beatrix Spierfonds, Thierry Latran Foundation, and Biogen Idec; serves on the editorial board of Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and the Journal of Neurology, Neurosurgery & Psychiatry; and receives research support from the Prinses Beatrix Spierfonds, Netherlands ALS Foundation, VSB Fonds, Adessium Foundation, the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 259867 and the Netherlands Organization for Health Research and Development (ZonMw). The authors alone are responsible for the content and writing of the paper.
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Creemers, H., Grupstra, H., Nollet, F. et al. Prognostic factors for the course of functional status of patients with ALS: a systematic review. J Neurol 262, 1407–1423 (2015). https://doi.org/10.1007/s00415-014-7564-8
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DOI: https://doi.org/10.1007/s00415-014-7564-8