{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T09:43:50Z","timestamp":1776851030597,"version":"3.51.2"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000038","name":"NSERC","doi-asserted-by":"crossref","award":["2018-06596"],"award-info":[{"award-number":["2018-06596"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000038","name":"NSERC","doi-asserted-by":"crossref","award":["2017-04001"],"award-info":[{"award-number":["2017-04001"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Neurol"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s00415-024-12819-x","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T14:40:36Z","timestamp":1734360036000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Prognostic factors affecting ALS progression through disease tollgates"],"prefix":"10.1007","volume":"272","author":[{"given":"Haoran","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F. Safa","family":"Erenay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Osman Y.","family":"\u00d6zalt\u0131n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00d6zden O.","family":"Dalg\u0131\u00e7","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustafa Y.","family":"S\u0131r","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi-Ming","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian A.","family":"Crum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalyan S.","family":"Pasupathy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"The Pooled Resource Open-Access ALS Clinical Trials Consortium","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,16]]},"reference":[{"issue":"3","key":"12819_CR1","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1080\/21646821.2015.1075181","volume":"55","author":"J Morris","year":"2015","unstructured":"Morris J (2015) Amyotrophic lateral sclerosis (ALS) and related motor neuron diseases: an overview. Neurodiagn J 55(3):180\u2013194","journal-title":"Neurodiagn J"},{"issue":"9769","key":"12819_CR2","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1016\/S0140-6736(10)61156-7","volume":"377","author":"MC Kiernan","year":"2011","unstructured":"Kiernan MC, Vucic S, Cheah BC et al (2011) Amyotrophic lateral sclerosis. The Lancet 377(9769):942\u2013955","journal-title":"The Lancet"},{"key":"12819_CR3","doi-asserted-by":"crossref","unstructured":"Thakore NJ, Lapin BR, Pioro EP, Pooled Resource Open-Access ALS Clinical Trials Consortium (2020) Stage-specific Riluzole effect in amyotrophic lateral sclerosis: a retrospective study. Amyotroph Lateral Scler Frontotemporal Degener 21(1\u20132):140\u2013143","DOI":"10.1080\/21678421.2019.1655060"},{"issue":"5","key":"12819_CR4","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1212\/01.WNL.0000049472.47709.3B","volume":"60","author":"MA Del Aguila","year":"2003","unstructured":"Del Aguila MA, Longstreth WT, McGuire V, Koepsell TD, Van Belle G (2003) Prognosis in amyotrophic lateral sclerosis: a population-based study. Neurology 60(5):813\u2013819","journal-title":"Neurology"},{"issue":"7","key":"12819_CR5","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/S1474-4422(17)30115-1","volume":"16","author":"K Abe","year":"2017","unstructured":"Abe K, Aoki M, Tsuji S et al (2017) Safety and efficacy of edaravone in well defined patients with amyotrophic lateral sclerosis: a randomised, double-blind, placebo-controlled trial. Lancet Neurol 16(7):505\u2013512","journal-title":"Lancet Neurol"},{"issue":"5\u20136","key":"12819_CR6","doi-asserted-by":"crossref","first-page":"414","DOI":"10.3109\/21678421.2016.1140786","volume":"17","author":"M Proudfoot","year":"2016","unstructured":"Proudfoot M, Jones A, Talbot K, Al-Chalabi A, Turner MR (2016) The ALSFRS as an outcome measure in therapeutic trials and its relationship to symptom onset. Amyotroph Lateral Scler Frontotemporal Degener 17(5\u20136):414\u2013425","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"4","key":"12819_CR7","volume":"12","author":"ML Ong","year":"2017","unstructured":"Ong ML, Tan PF, Holbrook JD (2017) Predicting functional decline and survival in amyotrophic lateral sclerosis. PLoS ONE 12(4):e0174925","journal-title":"PLoS ONE"},{"issue":"1\u20132","key":"12819_CR8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/S0022-510X(99)00210-5","volume":"169","author":"JM Cedarbaum","year":"1999","unstructured":"Cedarbaum JM, Stambler N, Malta E et al (1999) The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. J Neurol Sci 169(1\u20132):13\u201321","journal-title":"J Neurol Sci"},{"issue":"3","key":"12819_CR9","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1093\/brain\/awr351","volume":"135","author":"JC Roche","year":"2012","unstructured":"Roche JC, Rojas-Garcia R, Scott KM et al (2012) A proposed staging system for amyotrophic lateral sclerosis. Brain 135(3):847\u2013852","journal-title":"Brain"},{"issue":"3\u20134","key":"12819_CR10","doi-asserted-by":"crossref","first-page":"279","DOI":"10.3109\/21678421.2014.897357","volume":"15","author":"R Balendra","year":"2014","unstructured":"Balendra R, Jones A, Jivraj N et al (2014) Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. Amyotroph Lateral Scler Frontotemporal Degener 15(3\u20134):279\u2013284","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"1","key":"12819_CR11","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1212\/WNL.59.1.99","volume":"59","author":"A Chio","year":"2002","unstructured":"Chio A, Mora G, Leone M et al (2002) Early symptom progression rate is related to ALS outcome: a prospective population-based study. Neurology 59(1):99\u2013103","journal-title":"Neurology"},{"issue":"3\u20134","key":"12819_CR12","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1080\/21678421.2020.1867179","volume":"22","author":"V Castelnovo","year":"2021","unstructured":"Castelnovo V, Canu E, Riva N et al (2021) Progression of cognitive and behavioral disturbances in motor neuron diseases assessed using standard and computer-based batteries. Amyotroph Lateral Scler Frontotemporal Degener 22(3\u20134):223\u2013236","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"key":"12819_CR13","doi-asserted-by":"crossref","unstructured":"Daghlas SA, Govindarajan R, Pooled Resource Open\u2010Access ALS Clinical Trials Consortium (2021) Relative effects of forced vital capacity and ALSFRS-R on survival in ALS. Muscle Nerve 64(3):346\u2013351","DOI":"10.1002\/mus.27344"},{"issue":"1\u20132","key":"12819_CR14","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.jns.2010.03.028","volume":"294","author":"MR Turner","year":"2010","unstructured":"Turner MR, Scaber J, Goodfellow JA, Lord ME, Marsden R, Talbot K (2010) The diagnostic pathway and prognosis in bulbar-onset amyotrophic lateral sclerosis. J Neurol Sci 294(1\u20132):81\u201385","journal-title":"J Neurol Sci"},{"issue":"1\u20132","key":"12819_CR15","doi-asserted-by":"crossref","first-page":"110","DOI":"10.3109\/17482960902835970","volume":"11","author":"MB Bromberg","year":"2010","unstructured":"Bromberg MB, Brownell AA, Forshew DA, Swenson M (2010) A timeline for predicting durable medical equipment needs and interventions for amyotrophic lateral sclerosis patients. Amyotrophic Lat Scler 11(1\u20132):110\u2013115","journal-title":"Amyotrophic Lat Scler"},{"issue":"4","key":"12819_CR16","first-page":"1","volume":"20","author":"A Zandon\u00e0","year":"2019","unstructured":"Zandon\u00e0 A, Vasta R, Chi\u00f2 A, Di Camillo B (2019) A dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression. BMC Bioinformatics 20(4):1\u201311","journal-title":"BMC Bioinformatics"},{"issue":"7","key":"12819_CR17","doi-asserted-by":"crossref","first-page":"3858","DOI":"10.1007\/s00415-022-11022-0","volume":"269","author":"E Tavazzi","year":"2022","unstructured":"Tavazzi E, Daberdaku S, Zandon\u00e0 A et al (2022) Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression. J Neurol 269(7):3858\u20133878","journal-title":"J Neurol"},{"issue":"3","key":"12819_CR18","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1007\/s00415-019-09199-y","volume":"266","author":"\u00d6O Dalg\u0131\u00e7","year":"2019","unstructured":"Dalg\u0131\u00e7 \u00d6O, Erenay FS, Pasupathy KS, \u00d6zalt\u0131n OY, Crum BA, Sir MY (2019) Tollgate-based progression pathways of ALS patients. J Neurol 266(3):755\u2013765","journal-title":"J Neurol"},{"issue":"19","key":"12819_CR19","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1212\/WNL.0000000000000951","volume":"83","author":"N Atassi","year":"2014","unstructured":"Atassi N, Berry J, Shui A et al (2014) )The PRO-ACT database: Design, initial analyses, and predictive features. Neurology 83(19):1719\u20131725","journal-title":"Neurology"},{"key":"12819_CR20","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2021.103895","volume":"123","author":"\u00d6O Dalg\u0131\u00e7","year":"2021","unstructured":"Dalg\u0131\u00e7 \u00d6O, Wu H, Erenay FS et al (2021) Mapping of critical events in disease progression through binary classification: application to amyotrophic lateral sclerosis. J Biomed Inform 123:103895","journal-title":"J Biomed Inform"},{"key":"12819_CR21","volume-title":"Modern applied statistics with S-PLUS","author":"WN Venables","year":"2013","unstructured":"Venables WN, Ripley BD (2013) Modern applied statistics with S-PLUS. Springer, New York"},{"issue":"1","key":"12819_CR22","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1137\/S1052623496303470","volume":"9","author":"JC Lagarias","year":"1998","unstructured":"Lagarias JC, Reeds JA, Wright MH, Wright PE (1998) Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J Optim 9(1):112\u2013147","journal-title":"SIAM J Optim"},{"key":"12819_CR23","unstructured":"Therneau T (2021) A package for survival analysis in R. R package version 3.2-13"},{"issue":"345","key":"12819_CR24","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1080\/01621459.1974.10480146","volume":"69","author":"BW Turnbull","year":"1974","unstructured":"Turnbull BW (1974) Nonparametric estimation of a survivorship function with doubly censored data. J Am Stat Assoc 69(345):169\u2013173","journal-title":"J Am Stat Assoc"},{"key":"12819_CR25","first-page":"377","volume-title":"Interval-censored time-to-event data: methods and applications","author":"Q Zhao","year":"2012","unstructured":"Zhao Q (2012) gLRT-A new R package for analyzing interval-censored survival data. Interval-censored time-to-event data: methods and applications. CRC Press, Boca Raton, pp 377\u2013396"},{"key":"12819_CR26","unstructured":"L\u00fcdecke D (2018) sjPlot: Data visualization for statistics in social science. R package version 2.1"},{"key":"12819_CR27","doi-asserted-by":"crossref","first-page":"35","DOI":"10.2307\/2531894","volume":"44","author":"MR Segal","year":"1988","unstructured":"Segal MR (1988) Regression trees for censored data. Biometrics 44:35\u201347","journal-title":"Biometrics"},{"issue":"30","key":"12819_CR28","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1002\/sim.7450","volume":"36","author":"W Fu","year":"2017","unstructured":"Fu W, Simonoff JS (2017) Survival trees for interval-censored survival data. Stat Med 36(30):4831\u20134842","journal-title":"Stat Med"},{"issue":"1\u20132","key":"12819_CR29","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3109\/21678421.2015.1083585","volume":"17","author":"C Lunetta","year":"2016","unstructured":"Lunetta C, Lizio A, Melazzini MG, Maestri E, Sansone VA (2016) Amyotrophic lateral sclerosis survival score (ALS-SS): A simple scoring system for early prediction of patient survival. Amyotroph Lateral Scler Frontotemporal Degener 17(1\u20132):93\u2013100","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"11","key":"12819_CR30","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1002\/acn3.348","volume":"3","author":"AA Taylor","year":"2016","unstructured":"Taylor AA, Fournier C, Polak M et al (2016) Predicting disease progression in amyotrophic lateral sclerosis. Ann Clin Transl Neurol 3(11):866\u2013875","journal-title":"Ann Clin Transl Neurol"},{"key":"12819_CR31","first-page":"181","volume":"7","author":"C Ingre","year":"2015","unstructured":"Ingre C, Roos PM, Piehl F, Kamel F, Fang F (2015) Risk factors for amyotrophic lateral sclerosis. Clin Epidemiol 7:181\u2013193","journal-title":"Clin Epidemiol"},{"issue":"5","key":"12819_CR32","doi-asserted-by":"crossref","first-page":"439","DOI":"10.3109\/17482961003610853","volume":"11","author":"ZR Manjaly","year":"2010","unstructured":"Manjaly ZR, Scott KM, Abhinav K et al (2010) The sex ratio in amyotrophic lateral sclerosis: a population based study. Amyotroph Lateral Scler 11(5):439\u2013442","journal-title":"Amyotroph Lateral Scler"},{"issue":"3\u20134","key":"12819_CR33","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1080\/21678421.2017.1418001","volume":"19","author":"I Daghlas","year":"2018","unstructured":"Daghlas I, Lever TE, Leary E (2018) A retrospective investigation of the relationship between baseline covariates and rate of ALSFRS-R decline in ALS clinical trials. Amyotroph Lateral Scler Frontotemporal Degener 19(3\u20134):206\u2013211","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"15","key":"12819_CR34","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1212\/WNL.0b013e318232ab9b","volume":"77","author":"A Chi\u00f2","year":"2011","unstructured":"Chi\u00f2 A, Canosa A, Gallo S et al (2011) ALS clinical trials: do enrolled patients accurately represent the ALS population? Neurology 77(15):1432\u20131437","journal-title":"Neurology"},{"key":"12819_CR35","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s12021-018-9406-9","volume":"17","author":"M Tang","year":"2019","unstructured":"Tang M, Gao C, Goutman SA et al (2019) Model-based and model-free techniques for amyotrophic lateral sclerosis diagnostic prediction and patient clustering. Neuroinformatics 17:407\u2013421","journal-title":"Neuroinformatics"},{"key":"12819_CR36","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2020.101879","volume":"107","author":"M Ahangaran","year":"2020","unstructured":"Ahangaran M, Jahed-Motlagh MR, Minaei-Bidgoli B (2020) A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains. Artif Intell Med 107:101879","journal-title":"Artif Intell Med"},{"issue":"3\u20134","key":"12819_CR37","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1080\/21678421.2017.1418003","volume":"19","author":"S Jahandideh","year":"2018","unstructured":"Jahandideh S, Taylor AA, Beaulieu D et al (2018) Longitudinal modeling to predict vital capacity in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 19(3\u20134):294\u2013302","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"11","key":"12819_CR38","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1002\/acn3.348","volume":"3","author":"AA Taylor","year":"2016","unstructured":"Taylor AA, Fournier C, Polak M et al (2016) Predicting disease progression in amyotrophic lateral sclerosis. Ann Clin Transl Neurol 3(11):866\u2013875","journal-title":"Ann Clin Transl Neurol"},{"issue":"10","key":"12819_CR39","doi-asserted-by":"crossref","first-page":"1578","DOI":"10.3390\/jcm8101578","volume":"8","author":"J Gordon","year":"2019","unstructured":"Gordon J, Lerner B (2019) Insights into amyotrophic lateral sclerosis from a machine learning perspective. J Clin Med 8(10):1578","journal-title":"J Clin Med"},{"issue":"8","key":"12819_CR40","doi-asserted-by":"crossref","first-page":"e802","DOI":"10.1212\/WNL.0000000000008869","volume":"94","author":"A Chi\u00f2","year":"2020","unstructured":"Chi\u00f2 A, Moglia C, Canosa A et al (2020) ALS phenotype is influenced by age, sex, and genetics: a population-based study. Neurology 94(8):e802\u2013e810","journal-title":"Neurology"},{"issue":"5","key":"12819_CR41","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.neurol.2018.09.017","volume":"175","author":"P Corcia","year":"2019","unstructured":"Corcia P, Beltran S, Lautrette G, Bakkouche S, Couratier P (2019) Staging amyotrophic lateral sclerosis: a new focus on progression. Revue Neurol 175(5):277\u2013282","journal-title":"Revue Neurol"},{"key":"12819_CR42","doi-asserted-by":"crossref","DOI":"10.1016\/j.jns.2021.120041","volume":"431","author":"A Introna","year":"2021","unstructured":"Introna A, Milella G, Morea A et al (2021) King\u2019s college progression rate at first clinical evaluation: a new measure of disease progression in amyotrophic lateral sclerosis. J Neurol Sci 431:120041","journal-title":"J Neurol Sci"},{"key":"12819_CR43","unstructured":"The ALS Association (2019) Be proactive! - insurance and big ticket items. http:\/\/www.als-ny.org\/index.php?page=for_patients&sub=insurance. Accessed 18 February 2023"},{"issue":"4","key":"12819_CR44","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1016\/j.ncl.2015.07.003","volume":"33","author":"O Jawdat","year":"2015","unstructured":"Jawdat O, Statland JM, Barohn RJ, Katz JS, Dimachkie MM (2015) Amyotrophic lateral sclerosis regional variants (brachial amyotrophic diplegia, leg amyotrophic diplegia, and isolated bulbar amyotrophic lateral sclerosis). Neurol Clin 33(4):775\u2013785","journal-title":"Neurol Clin"},{"issue":"7","key":"12819_CR45","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1136\/jnnp-2020-325701","volume":"92","author":"T Yang","year":"2021","unstructured":"Yang T, Hou Y, Li C et al (2021) Risk factors for cognitive impairment in amyotrophic lateral sclerosis: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 92(7):688\u2013693","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"9","key":"12819_CR46","doi-asserted-by":"crossref","first-page":"2883","DOI":"10.1093\/brain\/aws144","volume":"135","author":"MR Turner","year":"2012","unstructured":"Turner MR, Barnwell J, Al-Chalabi A, Eisen A (2012) Young-onset amyotrophic lateral sclerosis: historical and other observations. Brain 135(9):2883\u20132891","journal-title":"Brain"},{"issue":"2","key":"12819_CR47","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1093\/brain\/awab322","volume":"145","author":"S Dukic","year":"2021","unstructured":"Dukic S, McMackin R, Costello E et al (2021) Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis. Brain 145(2):621\u2013631","journal-title":"Brain"},{"issue":"2","key":"12819_CR48","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1002\/mus.27454","volume":"65","author":"V Granit","year":"2022","unstructured":"Granit V, Grignon AL, Wuu J et al (2022) Harnessing the power of the electronic health record for ALS research and quality improvement: CReATe CAPTURE-ALS and the ALS Toolkit. Muscle Nerve 65(2):154\u2013161","journal-title":"Muscle Nerve"},{"issue":"5","key":"12819_CR49","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/S1474-4422(18)30089-9","volume":"17","author":"HJ Westeneng","year":"2018","unstructured":"Westeneng HJ, Debray TPA, Visser AE et al (2018) Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model. Lancet Neurol 17(5):423\u2013433","journal-title":"Lancet Neurol"}],"container-title":["Journal of Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-024-12819-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00415-024-12819-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-024-12819-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T17:49:23Z","timestamp":1738172963000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00415-024-12819-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,16]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["12819"],"URL":"https:\/\/doi.org\/10.1007\/s00415-024-12819-x","relation":{},"ISSN":["0340-5354","1432-1459"],"issn-type":[{"value":"0340-5354","type":"print"},{"value":"1432-1459","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,16]]},"assertion":[{"value":"30 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors report no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"This study was reviewed by the Mayo Clinic Institutional Review Board and deemed as an exempt study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"69"}}