Skip to main content
SpringerLink
Log in

Age-specific ALS incidence: a dose–response meta-analysis

  • META-ANALYSIS
  • Published:
European Journal of Epidemiology Aims and scope Submit manuscript

Abstract

To evaluate the association between worldwide ALS incidence rates and age, using a dose–response meta-analysis. We reviewed Medline and Embase up to July 2016 and included all population-based studies of newly-diagnosed cases, using multiple sources for case ascertainment. A dose–response meta-analysis was performed. A meta-regression investigated potential sources of heterogeneity. Of 3254 articles identified in the literature, we included 41 incidence studies covering 42 geographical areas. Overall, the fit between observed and predicted age-specific rates was very good. The expected variation of ALS incidence with age was characterized, in each study, by a progressive increase in the incidence from the 40s leading to a peak in the 60s or 70s, followed by a sharp decrease. Cochran’s Q test suggested a significant heterogeneity between studies. Overall, estimated patterns of ALS age-specific incidence (at which the peak was reached) were similar among subcontinents of Europe and North America: peak of ALS incidence ranged in these areas between 6.98 and 8.17/100,000 PYFU, which referred to age in the range 71.6–77.4 years. The relationship between age and ALS incidence appeared different for Eastern Asia which was characterized by a peak of ALS incidence at 2.20/100,000 PYFU around 75 years of age. This study confirms the consistency of the age-specific ALS incidence pattern within different subcontinents. Age-specific incidence appears lower in Eastern Asia as compared to Europe and North America.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

ALS:

Amyotrophic lateral sclerosis

PDC:

Parkinson dementia complex

PD:

Parkinson’s disease

MOOSE:

Meta-analysis of observational studies in epidemiology

PYFU:

Person years of follow-up

References

  1. Beghi E, Logroscino G, Chio A, Hardiman O, Mitchell D, Swingler R, Traynor BJ. The epidemiology of ALS and the role of population-based registries. Biochem Biophys Acta. 2006;1762:1150–7.

    PubMed  CAS  Google Scholar 

  2. Logroscino G, Tortelli R, Rizzo G, Marin B, Preux PM, Malaspina A. Amyotrophic lateral sclerosis: an aging-related disease. Curr Geriatr Rep. 2015;4:142–53.

    Article  Google Scholar 

  3. Logroscino G, Traynor BJ, Hardiman O, Chio A, Couratier P, Mitchell JD, Swingler RJ, Beghi E. Descriptive epidemiology of amyotrophic lateral sclerosis: new evidence and unsolved issues. J Neurol Neurosurg Psychiatry. 2008;79:6–11.

    Article  PubMed  CAS  Google Scholar 

  4. Marin B, Boumediene F, Logroscino G, Couratier P, Babron MC, Leutenegger AL, Copetti M, Preux PM, Beghi E. Variation in worldwide incidence of amyotrophic lateral sclerosis: a meta-analysis. Int J Epidemiol. 2017;46:57–74.

    PubMed  Google Scholar 

  5. Marin B, Logroscino G, Boumediene F, Labrunie A, Couratier P, Babron MC, Leutenegger AL, Preux PM, Beghi E. Clinical and demographic factors and outcome of amyotrophic lateral sclerosis in relation to population ancestral origin. Eur J Epidemiol. 2016;31:229–45.

    Article  PubMed  Google Scholar 

  6. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) Group. JAMA. 2000;283:2008–12.

    Article  PubMed  CAS  Google Scholar 

  7. Fiest KM, Pringsheim T, Patten SB, Svenson LW, Jette N. The role of systematic reviews and meta-analyses of incidence and prevalence studies in neuroepidemiology. Neuroepidemiology. 2014;42:16–24.

    Article  PubMed  CAS  Google Scholar 

  8. Mitsumoto H, Chad AD, Pioro EP. Amyotrophic lateral sclerosis. Philadelphia: FA Davis; 1998.

  9. Szklo M. Population-based cohort studies. Epidemiol Rev. 1998;20:81–90.

    Article  PubMed  CAS  Google Scholar 

  10. United Nations Statistics Division. Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings. https://unstats.un.org/unsd/methods/m49/m49regin.htm. Last Accessed 9 Jan 2015.

  11. Plato CC, Garruto RM, Galasko D, Craig UK, Plato M, Gamst A, Torres JM, Wiederholt W. Amyotrophic lateral sclerosis and parkinsonism-dementia complex of Guam: changing incidence rates during the past 60 years. Am J Epidemiol. 2003;157:149–57.

    Article  PubMed  Google Scholar 

  12. Murphy M, Quinn S, Young J, Parkin P, Taylor B. Increasing incidence of ALS in Canterbury, New Zealand: a 22-year study. Neurology. 2008;71:1889–95.

    Article  PubMed  CAS  Google Scholar 

  13. Gunnarsson LG, Lindberg G, Soderfelt B, Axelson O. The mortality of motor neuron disease in Sweden. Arch Neurol. 1990;47:42–6.

    Article  PubMed  CAS  Google Scholar 

  14. Murros K, Fogelholm R. Amyotrophic lateral sclerosis in Middle-Finland: an epidemiological study. Acta Neurol Scand. 1983;67:41–7.

    Article  PubMed  CAS  Google Scholar 

  15. Hudson AJ, Davenport A, Hader WJ. The incidence of amyotrophic lateral sclerosis in southwestern Ontario, Canada. Neurology. 1986;36:1524–8.

    Article  PubMed  CAS  Google Scholar 

  16. Bettini M, Gargiulo-Monachelli GM, Rodriguez G, Rey RC, Peralta LM, Sica RE. Epidemiology of amyotrophic lateral sclerosis patients in a centre in Buenos Aires. Arq Neuropsiquiatr. 2011;69:867–70.

    Article  PubMed  Google Scholar 

  17. Bonaparte JP, Grant IA, Benstead TJ, Murray TJ, Smith M. ALS incidence in Nova Scotia over a 20-year-period: a prospective study. Can J Neurol Sci. 2007;34:69–73.

    Article  PubMed  CAS  Google Scholar 

  18. United Nations. Demographic yearbook. DYB annual issues. https://unstats.un.org/unsd/demographic/products/dyb/dyb2.htm. Last accessed 9 Jan 2015.

  19. United States Census Bureau. National estimates by age, sex, race: 1900–1979. http://www.census.gov/popest/data/national/asrh/pre-1980/PE-11.html. Last accessed 9 Jan 2015.

  20. Il’yasova D, Hertz-Picciotto I, Peters U, Berlin JA, Poole C. Choice of exposure scores for categorical regression in meta-analysis: a case study of a common problem. Cancer Causes Control. 2005;16:383–8.

    Article  PubMed  Google Scholar 

  21. Berlin JA, Longnecker MP, Greenland S. Meta-analysis of epidemiologic dose-response data. Epidemiology. 1993;4:218–28.

    Article  PubMed  CAS  Google Scholar 

  22. Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiol Rev. 1987;9:1–30.

    Article  PubMed  CAS  Google Scholar 

  23. Heinzl H, Mittlböck M. Pseudo R-squared measures for Poisson regression models with over- or underdispersion. Comput Stat Data Anal. 2003;44:253–71.

    Article  Google Scholar 

  24. Fontana A, Spadaro S, Copetti M, Spoto B, Salvemini L, Pizzini P, Frittitta L, Mallamaci F, Pellegrini F, Trischitta V, et al. Association between resistin levels and all-cause and cardiovascular mortality: a new study and a systematic review and meta-analysis. PLoS ONE. 2015;10:e0120419.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis: multivariate approach and meta-regression. Stat Med. 2002;21:589–624.

    Article  PubMed  Google Scholar 

  26. Higgins J, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. The Cochrane Collaboration; 2011. http://www.cochrane-handbook.org/. Last accessed 9 Jan 2015.

  27. Borenstein M, Hedges L, Higgins J, Rothstein H. Introduction to meta-analysis. Chichester: Wiley; 2009.

    Book  Google Scholar 

  28. Uenal H, Rosenbohm A, Kufeldt J, Weydt P, Goder K, Ludolph A, Rothenbacher D, Nagel G, A.L.S.r.S. Group. Incidence and geographical variation of amyotrophic lateral sclerosis (ALS) in Southern Germany–completeness of the ALS registry Swabia. PLoS ONE. 2014;9:e93932.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Logroscino G, Traynor BJ, Hardiman O, Chio A, Mitchell D, Swingler RJ, Millul A, Benn E, Beghi E. Incidence of amyotrophic lateral sclerosis in Europe. J Neurol Neurosurg Psychiatry. 2010;81:385–90.

    Article  PubMed  Google Scholar 

  30. Matsumoto N, Worth RM, Kurland LT, Okazaki H. Epidemiologic study of amyotrophic lateral sclerosis in Hawaii. Identification of high incidence among Filipino men. Neurology. 1972;22:934–40.

    Article  PubMed  CAS  Google Scholar 

  31. Forbes RB, Colville S, Parratt J, Swingler RJ. The incidence of motor nueron disease in Scotland. J Neurol. 2007;254:866–9.

    Article  PubMed  Google Scholar 

  32. Gross-Paju K, Oopik M, Luus SM, Kalbe I, Puksa L, Lepik T, Kaasik AE. Motor neurone disease in South Estonia. Diagnosis and incidence rate. Acta Neurol Scand. 1998;98:22–8.

    Article  PubMed  CAS  Google Scholar 

  33. O’Toole O, Traynor BJ, Brennan P, Sheehan C, Frost E, Corr B, Hardiman O. Epidemiology and clinical features of amyotrophic lateral sclerosis in Ireland between 1995 and 2004. J Neurol Neurosurg Psychiatry. 2008;79:30–2.

    Article  PubMed  Google Scholar 

  34. Marin B, Hamidou B, Couratier P, Nicol M, Delzor A, Raymondeau M, Druet-Cabanac M, Lautrette G, Boumediene F, Preux PM, et al. Population-based epidemiology of amyotrophic lateral sclerosis (ALS) in an ageing Europe—the French register of ALS in Limousin (FRALim register). Eur J Neurol. 2014;21:1292–300.

    Article  PubMed  CAS  Google Scholar 

  35. Mandrioli J, Biguzzi S, Guidi C, Venturini E, Sette E, Terlizzi E, Ravasio A, Casmiro M, Salvi F, Liguori R, et al. Epidemiology of amyotrophic lateral sclerosis in Emilia Romagna Region (Italy): a population based study. Amyotroph Lateral Scler Frontotemporal Degener. 2014;15:262–8.

    Article  PubMed  Google Scholar 

  36. Bandettini di Poggio M, Sormani MP, Truffelli R, Mandich P, Origone P, Verdiani S, Mantero V, Scialo C, Schenone A, Mancardi GL, et al. Clinical epidemiology of ALS in Liguria, Italy. Amyotroph Lateral Scler Frontotemporal Degener. 2013;14:52–7.

    Article  PubMed  Google Scholar 

  37. Logroscino G, Beghi E, Zoccolella S, Palagano R, Fraddosio A, Simone IL, Lamberti P, Lepore V, Serlenga L. Incidence of amyotrophic lateral sclerosis in southern Italy: a population based study. J Neurol Neurosurg Psychiatry. 2005;76:1094–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Pugliatti M, Parish LD, Cossu P, Leoni S, Ticca A, Saddi MV, Ortu E, Traccis S, Borghero G, Puddu R, et al. Amyotrophic lateral sclerosis in Sardinia, insular Italy, 1995–2009. J Neurol. 2013;260:572–9.

    Article  PubMed  Google Scholar 

  39. Ragonese P, Cellura E, Aridon P, D’Amelio M, Spataro R, Taiello AC, Maimone D, La Bella V, Savettieri G. Incidence of amyotrophic lateral sclerosis in Sicily: a population based study. Amyotroph Lateral Scler. 2012;13:284–7.

    Article  PubMed  Google Scholar 

  40. McGuire V, Longstreth WT Jr, Koepsell TD, van Belle G. Incidence of amyotrophic lateral sclerosis in three counties in western Washington state. Neurology. 1996;47:571–3.

    Article  PubMed  CAS  Google Scholar 

  41. Radhakrishnan K, Ashok PP, Sridharan R, Mousa ME. Descriptive epidemiology of motor neuron disease in Benghazi, Libya. Neuroepidemiology. 1986;5:47–54.

    Article  PubMed  CAS  Google Scholar 

  42. Fong GC, Cheng TS, Lam K, Cheng WK, Mok KY, Cheung CM, Chim CS, Mak W, Chan KH, Tsang KL, et al. An epidemiological study of motor neuron disease in Hong Kong. Amyotroph Lateral Scler Other Motor Neuron Disord. 2005;6:164–8.

    Article  PubMed  CAS  Google Scholar 

  43. Sajjadi M, Etemadifar M, Nemati A, Ghazavi H, Basiri K, Khoundabi B, Mousavi SA, Kabiri P, Maghzi AH. Epidemiology of amyotrophic lateral sclerosis in Isfahan, Iran. Eur J Neurol. 2010;17:984–9.

    Article  PubMed  CAS  Google Scholar 

  44. Imam I, Ball S, Wright D, Hanemann CO, Zajicek J. The epidemiology of motor neurone disease in two counties in the southwest of England. J Neurol. 2010;257:977–81.

    Article  PubMed  Google Scholar 

  45. Chio A, Mora G, Calvo A, Mazzini L, Bottacchi E, Mutani R. Epidemiology of ALS in Italy: a 10-year prospective population-based study. Neurology. 2009;72:725–31.

    Article  PubMed  CAS  Google Scholar 

  46. Drigo D, Verriello L, Clagnan E, Eleopra R, Pizzolato G, Bratina A, D’Amico D, Sartori A, Mase G, Simonetto M, et al. The incidence of amyotrophic lateral sclerosis in Friuli Venezia Giulia, Italy, from 2002 to 2009: a retrospective population-based study. Neuroepidemiology. 2013;41:54–61.

    Article  PubMed  Google Scholar 

  47. Wolf J, Wohrle JC, Palm F, Nix WA, Maschke M, Safer A, Becher H, Grau AJ. Incidence of amyotrophic lateral sclerosis in Rhineland-Palatinate, Germany. Amyotroph Lateral Scler Frontotemporal Degener. 2014;15:269–74.

    Article  PubMed  Google Scholar 

  48. Beghi E, Millul A, Micheli A, Vitelli E, Logroscino G. Incidence of ALS in Lombardy, Italy. Neurology. 2007;68:141–5.

    Article  PubMed  CAS  Google Scholar 

  49. Freer C, Hylton T, Jordan HM, Kaye WE, Singh S, Huang Y. Results of Florida’s Amyotrophic Lateral Sclerosis Surveillance Project, 2009–2011. BMJ Open. 2015;5:e007359.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Jordan H, Fagliano J, Rechtman L, Lefkowitz D, Kaye W. Population-based surveillance of amyotrophic lateral sclerosis in New Jersey, 2009–2011. Neuroepidemiology. 2014;43:49–56.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Jordan H, Rechtman L, Wagner L, Kaye WE. Amyotrophic lateral sclerosis surveillance in Baltimore and Philadelphia. Muscle Nerve. 2015;51:815–21.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Valle J, Roberts E, Paulukonis S, Collins N, English P, Kaye W. Epidemiology and surveillance of amyotrophic lateral sclerosis in two large metropolitan areas in California. Amyotroph Lateral Scler Frontotemporal Degener. 2015;16:209–15.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Lannuzel A, Mecharles S, Tressieres B, Demoly A, Alhendi R, Hedreville-Tablon MA, Alecu C. Clinical varieties and epidemiological aspects of amyotrophic lateral sclerosis in the Caribbean island of Guadeloupe: a new focus of ALS associated with Parkinsonism. Amyotroph Lateral Scler Frontotemporal Degener. 2015;16:216–23.

    Article  PubMed  CAS  Google Scholar 

  54. Pradas J, Puig T, Rojas-Garcia R, Viguera ML, Gich I, Logroscino G, Group A-C. Amyotrophic lateral sclerosis in Catalonia: a population based study. Amyotroph Lateral Scler Frontotemporal Degener. 2013;14:278–83.

    Article  PubMed  Google Scholar 

  55. Huisman MH, de Jong SW, van Doormaal PT, Weinreich SS, Schelhaas HJ, van der Kooi AJ, de Visser M, Veldink JH, van den Berg LH. Population based epidemiology of amyotrophic lateral sclerosis using capture-recapture methodology. J Neurol Neurosurg Psychiatry. 2011;82:1165–70.

    Article  PubMed  Google Scholar 

  56. Joensen P. Incidence of amyotrophic lateral sclerosis in the Faroe Islands. Acta Neurol Scand. 2012;126:62–6.

    Article  PubMed  CAS  Google Scholar 

  57. Murros K, Fogelholm R. Amyotrophic lateral sclerosis in Middle-Finland: an epidemiological study. Acta Neurol Scand. 1983;67:41–7.

    Article  PubMed  CAS  Google Scholar 

  58. Højer-Pedersen E, Christensen PB, Jensen NB. Incidence and prevalence of motor neuron disease in two Danish counties. Neuroepidemiology. 1989;8:151–9.

    Article  PubMed  Google Scholar 

  59. Annegers JF, Appel S, Lee JRJ, Perkins P. Incidence and prevalence of amyotrophic lateral sclerosis in Harris County, Texas, 1985–1988. Arch Neurol. 1991;48:589–93.

    Article  PubMed  CAS  Google Scholar 

  60. Forsgren L, Almay BGL, Holmgren G, Wall S. Epidemiology of motor neuron disease in northern Sweden. Acta Neurol Scand. 1983;68:20–9.

    Article  PubMed  CAS  Google Scholar 

  61. Lai CH, Tseng HF. Epidemiology and medical expenses of motor neuron diseases in Taiwan. Neuroepidemiology. 2008;31:159–66.

    Article  PubMed  Google Scholar 

  62. Okumura H. Epidemiological and clinical patterns of western pacific amyotrophic lateral sclerosis (ALS) in Guam and sporadic ALS in Rochester, Minnesota, U.S.A. and Hokkaido, Japan: a comparative study. Hokkaido Igaku Zasshi. 2003;78:187–95.

    PubMed  Google Scholar 

  63. Vazquez MC, Ketzoian C, Legnani C, Rega I, Sanchez N, Perna A, Penela M, Aguirrezabal X, Druet-Cabanac M, Medici M. Incidence and prevalence of amyotrophic lateral sclerosis in Uruguay: a population-based study. Neuroepidemiology. 2008;30:105–11.

    Article  PubMed  CAS  Google Scholar 

  64. Sorenson EJ, Stalker AP, Kurland LT, Windebank AJ. Amyotrophic lateral sclerosis in Olmsted County, Minnesota, 1925 to 1998. Neurology. 2002;59:280–2.

    Article  PubMed  Google Scholar 

  65. Abhinav K, Stanton B, Johnston C, Hardstaff J, Orrell RW, Howard R, Clarke J, Sakel M, Ampong MA, Shaw CE, et al. Amyotrophic lateral sclerosis in South-East England: a population-based study. The South-East England register for amyotrophic lateral sclerosis (SEALS Registry). Neuroepidemiology. 2007;29:44–8.

    Article  PubMed  CAS  Google Scholar 

  66. Scialo C, Novi G, Bandettini di Poggio M, Canosa A, Sormani MP, Mandich P, Origone P, Truffelli R, Mancardi GL, Caponnetto C. Clinical epidemiology of amyotrophic lateral sclerosis in Liguria, Italy: an update of LIGALS register. Amyotroph Lateral Scler Frontotemporal Degener 2016;17:535–542.

    Article  PubMed  Google Scholar 

  67. Lee JR, Annegers JF, Appel SH. Prognosis of amyotrophic lateral sclerosis and the effect of referral selection. J Neurol Sci. 1995;132:207–15.

    Article  PubMed  CAS  Google Scholar 

  68. Sorenson EJ, Mandrekar J, Crum B, Stevens JC. Effect of referral bias on assessing survival in ALS. Neurology. 2007;68:600–2.

    Article  PubMed  Google Scholar 

  69. Logroscino G, Beghi E, Hardiman O, Chio A, Mitchell JD, Swingler RJ, Traynor B. Effect of referral bias on assessing survival in ALS. Neurology. 2007;69:939 (author reply 939–940).

    Article  PubMed  CAS  Google Scholar 

  70. Marin B, Hamidou B, Couratier P, Nicol M, Delzor A, Raymondeau M, Druet-Cabanac M, Lautrette G, Boumediene F, Preux PM, et al. Population-based epidemiology of amyotrophic lateral sclerosis (ALS) in an ageing Europe—the French register of ALS in Limousin (FRALim register). Eur J Neurol. 2014;21:1292–300.

    Article  PubMed  CAS  Google Scholar 

  71. Forbes RB, Colville S, Swingler RJ. The epidemiology of amyotrophic lateral sclerosis (ALS/MND) in people aged 80 or over. Age Ageing. 2004;33:131–4.

    Article  PubMed  Google Scholar 

  72. Forbes RB, Colville S, Swingler RJ, A.L.S.M.N.D.R. Scottish. The epidemiology of amyotrophic lateral sclerosis (ALS/MND) in people aged 80 or over. Age Ageing. 2004;33:131–4.

    Article  PubMed  Google Scholar 

  73. Dandaba M, Couratier P, Labrunie A, Nicol M, Hamidou B, Raymondeau M, Logroscino G, Preux PM, Marin B, Consortium F. Characteristics and prognosis of oldest old subjects with amyotrophic lateral sclerosis. Neuroepidemiology. 2017;49:64–73.

    Article  PubMed  Google Scholar 

  74. Cronin S, Hardiman O, Traynor BJ. Ethnic variation in the incidence of ALS: a systematic review. Neurology. 2007;68:1002–7.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the following main authors or co-authors of population-based articles who answered to our solicitation and for the useful material for incidence standardization or phenotype characterization that they were able to provide: Kari Murros, Poul Joensen, Raeburn Forbes, Robert Swingler (the Scottish MND Register is funded by MND Scotland and supported by the Anne Rowling Regenerative Neurology Clinic), Ibrahim Imam, James Rooney, Albert Ludolph, Gabriele Nagel, Marwa Elamin, Orla Hardiman, Mark Heverin, Mark Huisman, Joachim Wolf, Adriano Chio, Federica Pisa, Jessica Mandrioli, Monica Bandettini, Stefano Zocollela, Maura Pugliatti, Leslie Parish, Paolo Ragonese, Valerie Mc Guire, Will Longstreth, Eric J. Sorenson, Farrah Mateen, James D. Bonaparte, Cristina Vazquez, Carlos Ketzoian, Kurupath Radhakrishnan, Chien-Hsu Lai, Chung Yan G Fong, Hitoshi Okumura, Tameko Kihira, Bruce Taylor and A Lannuzel. We thank Paul Mehta, Heather Jordan and Jhaqueline Valle for providing data to calculate US incidence. The data came from surveillance projects funded by the Agency for Toxic Substances and Disease Registry’s (ATSDR) National ALS Registry [www.cdc.gov/als] (Contract #200-2009-32577 and Contract #200-2010-F-36614). We also thank Walter Rocca and Brandon R. Grossardt for the detailed data on Olmsted county population with which they provided us, and Hidenao Sasaki, Robert Miller and Eric Denys as contact persons. We thank Vanna Pistotti for her advice during the literature search, as well as Mineko Terao, Lorenzo Moja and Claudio Pelucchi. We thank Limoges teaching hospital for its grant initiative for mobility. We thank Sylvie Gautier for English editing and Emilio G Gumiel for technical support.

Author information

Authors and Affiliations

  1. INSERM, U1094, Neuroépidémiologie Tropicale, 87000, Limoges, France

    Benoît Marin, Farid Boumédiene, Philippe Couratier & Pierre Marie Preux

  2. Univ. Limoges, UMR_S 1094, Neuroépidémiologie Tropicale, Institut d’Epidémiologie Neurologique et de Neurologie Tropicale, CNRS FR 3503 GEIST, 87000, Limoges, France

    Benoît Marin, Farid Boumédiene, Philippe Couratier & Pierre Marie Preux

  3. CHU Limoges, Centre d’Epidémiologie de Biostatistique et de Méthodologie de la Recherche, Limoges, France

    Benoît Marin, Farid Boumédiene & Pierre Marie Preux

  4. Laboratorio di Malattie Neurologiche, Dipartimento di Neuroscienze, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy

    Benoît Marin & Ettore Beghi

  5. Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy

    Benoît Marin & Giancarlo Logroscino

  6. Unit of Neurodegenerative Diseases, Department of Clinical Research in Neurology, University of Bari “Aldo Moro”, at “Pia Fondazione Cardinale G. Panico”, 73039, Tricase, Lecce, Italy

    Benoît Marin & Giancarlo Logroscino

  7. Unit of Biostatistics, IRCCS “Casa Sollievo della Sofferenza”, San Giovanni Rotondo, Italy

    Andrea Fontana, Simona Arcuti & Massimilano Copetti

  8. CHU Limoges, Service de Neurologie, Centre expert SLA, Limoges, France

    Philippe Couratier

  9. Neurology Unit, Department of Medicine, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy

    Simona Arcuti

Authors
  1. Benoît Marin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrea Fontana
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Simona Arcuti
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Massimilano Copetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Farid Boumédiene
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Philippe Couratier
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ettore Beghi
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Pierre Marie Preux
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Giancarlo Logroscino
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giancarlo Logroscino.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

eFigure 1. Flow chart eligibility criteria of articles on ALS age-specific incidence (TIFF 29883 kb)

10654_2018_392_MOESM2_ESM.pdf

eFigure 2. ALS age-specific incidences reported in each original report (/100,000PYFU, point estimates) along with the estimation of the age-specific incidence curves estimated by the random effect dose–response meta-analysis. (2.a Northern Europe, 2.b Western Europe, 2.c Southern Europe, 2.d NorthernAmerica, 2.e East Asia, 2.f Other subcontinents) (PDF 994 kb)

Supplementary material 3 (DOCX 47 kb)

Supplementary material 4 (DOCX 28 kb)

Supplementary material 5 (DOCX 18 kb)

Supplementary material 6 (DOCX 18 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marin, B., Fontana, A., Arcuti, S. et al. Age-specific ALS incidence: a dose–response meta-analysis. Eur J Epidemiol 33, 621–634 (2018). https://doi.org/10.1007/s10654-018-0392-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10654-018-0392-x

Keywords

Search

Navigation