Incidence and lifetime risk of motor neuron disease in the United Kingdom: a population‐based study
Open accessAbstract
Background and purpose: To estimate the incidence and lifetime risk of motor neuron disease (MND) in a population‐based sample in the United Kingdom. Methods: We identified new cases of MND during the period 1990–2005 in the General Practice Research Database, which includes clinical information from more than 3 million Britons enrolled with selected general practitioners. Individuals with a first medical diagnosis of MND recorded in the database were considered incident cases of the disease. The positive predictive value of the computer‐based diagnosis was estimated through review of a sample of medical records from potential MND cases. Results: In the period 1990–2005, 830 new cases of MND were identified. Age‐standardized incidence of MND was 2.6 per 100 000 persons per year in women (95% CI: 2.3, 2.8) and 3.9 in men (95% CI: 3.6, 4.3). Incidence for both sexes peaked between 75 and 79 years. The rate of MND in men was 54% higher than in women (95% CI: 33%, 77%). The lifetime risk of MND, adjusting for competing causes of death, was 1 in 472 (2.1 per 1000) in women and 1 in 350 (2.9 per 1000) in men. No increase in MND incidence over time was apparent. Conclusion: In this population‐based database, we found that MND incidence is higher in men than women, peaking in both sexes between 75 and 79 years.
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The gender distribution (male-to-female ratio = 1.24:1) and gender-dependent differences in average age at symptom onset (56.8 vs 62.1 years) in the cohort were in line with values from previous ALS populations.
“Furthermore, both the distribution of gender (male‐to‐female ratio = 1.24:1) and gender‐dependent differences in average age at symptom onset (56.8 vs. 62.1 years) were in line with values from previous ALS populations, reporting male‐to‐female ratios ranging between 0.8:1 and 2.7:1 (Alonso et al., 2009; Cronin et al., 2007; Uenal et al., 2014) and a tendency for earlier symptom‐onset in men than”
From Prevalence of potential sports‐associated risk factors in Swiss amyotrophic lateral sclerosis patients (2017) · cites this paper as Alonso et al., 2009
The Results report 470 men and 360 women with MND, a male-to-female case ratio of about 1.31:1, consistent with the cited range. The Results and Discussion also report higher incidence in men. They do not report a sex-specific average age at symptom onset or establish earlier onset in men; the Results say incidence peaked at ages 75–79 in both sexes. No page numbers are available in our copy. (LLM, conf=0.85)
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Jick, H., Jick, S. S., & Derby, L. E. (1991) · BMJ · doi:10.1136/bmj.302.6779.766 · Cited by 839 · see citing works
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Research works printed but not linked: 24
- [1]Mitchell JD Borasio GD Amyotrophic lateral sclerosis The Lancet 2007 369 2031 2041 17574095
- [2]Cronin S Hardiman O Traynor BJ Ethnic variation in the incidence of ALS. A systematic review Neurology 2007 68 1002 1007 17389304
- [3]Armon C Nelson LM Tanner CM Van Den Eeden SK McGuire VM Amyotrophic lateral sclerosis Neuroepidemiology From principles to practice New York Oxford University Press 2004 162 187
- [4]Forbes RB Colville S Parratt J Swingler RJ The incidence of motor neuron disease in Scotland Journal of Neurology 2007 254 866 869 17420925
- [5]Piemonte and Valle d’Aosta Register for Amyotrophic Lateral Sclerosis (PARALS) Incidence of ALS in Italy. Evidence for a uniform frequency in Western countries Neurology 2001 56 239 244 11160962
- [6]Traynor BJ Codd MB Corr B Forde C Frost E Hardiman O Incidence and prevalence of ALS in Ireland, 1995–1997. A population-based study Neurology 1999 52 504 509 10025778
- [7]Logroscino G Beghi E Zoccolella S Incidence of amyotrophic lateral sclerosis in southern Italy: a population based study Journal of Neurology, Neurosurgery, and Psychiatry 2005 76 1094 1098 PMC1739746 16024886
- [8]Beghi E Millul A Micheli A Vitelli E Logroscino G for the Slalom Group Incidence of ALS in Lombardy, Italy Neurology 2007 68 141 145 17210896
- [9]Logroscino G Traynor BJ Hardiman O Descriptive epidemiology of amyotrophic lateral sclerosis: new evidence and unsolved issues Journal of Neurology, Neurosurgery, and Psychiatry 2008 79 6 11 18079297
- [10]Wood L Martinez C The General Practice Research Database. Role in pharmacovigilance Drug Safety 2004 27 871 881 15366975
- [11]Lawson DH Sherman V Hollowell J The General Practice Research Database. Scientific and Ethical Advisory Group QJM 1998 91 445 452 9709463
- [12]Jick SS Kaye JA Vasilakis-Scaramozza C Validity of the General Practice Research Database Pharmacotherapy 2003 23 686 689 12741446
- [14]García Rodríguez LA Pérez Gutthann S Use of the UK General Practice Research Database for pharmacoepidemiology British Journal of Clinical Pharmacology 1998 45 419 425 9643612 PMC1873548
- [15]Subcommitte on Motor Neuron Disease/Amyotrophic Lateral Sclerosis of the World Federation of Neurology Research Group on Neuromuscular Diseases and the El Escorial Clinical Limits of Amyotrophic Lateral Sclerosis Workshop Contributors El Escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis Journal of the Neurological Sciences 1994 124 Suppl 96 107 7807156
- [16]Brooks BR Miller RG Swash M Munsat TL for the World Federation of Neurology Research Group on Motor Neuron Diseases El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis Amyotroph Lateral Scler Other Motor Neuron Disord 2000 1 293 299 11464847
- [18]Greenland S Rothman KJ Rothman KJ Greenland S Lash TL Measures of occurrence Modern Epidemiology 3 Philadelphia, PA Lippincott Williams & Wilkins 2008 32 50
- [19]Statistical Research and Applications Branch - National Cancer Institute DevCan: Probability of Developing or Dying of Cancer Software. 6.3 edn, 2008. [20]. Fay MP, Pfeiffer R, Cronin KA, Le C, Feuer EJ. Age-conditional probabilities of developing cancer Statistics in Medicine 2003 22 1837 1848 12754719 PMC1475950
- [21]Fay MP Estimating age conditional probability of developing disease from surveillance data Population Health Metrics 2004 2 6 15279675 PMC517510
- [22]Office for National Statistics Series DH1 No. 34. Mortality statistics general Review of the Registrar General on deaths in England and Wales, 2001 London, UK Office for National Statistics 2003
- [23]Armon C Sports and trauma in amyotrophic lateral sclerosis revisited Journal of the Neurological Sciences 2007 262 45 53 17681549
- [24]Chio A Ciccone G Calvo A Validity of hospital morbidity records for amyotrophic lateral sclerosis. A population-based study Journal of Clinical Epidemiology 2002 55 723 727 12160921
- [25]Seljeseth YM Vollset SE Tysnes O-B Increasing mortality from amyotrophic lateral sclerosis in Norway? Neurology 2000 55 1262 1266 11087765
- [26]Noonan CW White MC Thurman D Wong L-Y Temporal and geographic variation in United States motor neuron disease mortality, 1969–1998 Neurology 2005 64 1215 1221 15824349
- [27]Sorenson EJ Stalker AP Kurland LT Windebank AJ Amyotrophic lateral sclerosis in Olmsted County, Minnesota, 1925 to 1998 Neurology 2002 59 280 282 12136072
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“7:1 (Alonso et al., 2009; Cronin et al., 2007; Uenal et al., 2014) and a tendency for earlier symptom- onset in men than women (Logroscino et al.”
BackgroundResultInfluential
- Authors
- Alonso, A., Logroscino, G., Jick, S. S., & Hernán, M. A.
- Affiliations
- University of Bari Aldo Moro (IT)
- Boston University (US)
- Venue
- European Journal of Neurology
- Publisher
- Wiley
- Published
- 2009-04-28
- Volume
- 16
- Issue
- 6
- Pages
- 745-751
- ISSN
- 1351-5101 (ISSN-L)
- 1468-1331
- PMC
- PMC3093130
- OpenAlex
- W2105897360
- Cited by
- 229
- References
- 1
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 21 · 2023: 17 · 2022: 17 · 2021: 15 · 2020: 17 · 2019: 13 · 2018: 13 · 2017: 19 · 2016: 15 · 2015: 12 · 2014: 8 · 2013: 15 · 2012: 10
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Harvard University
- National Institute on Aging (P30AG024409)
- Topics
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Genetics › Neurogenetic and Muscular Disorders Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- motor neuron disease, incidence, lifetime risk, sex differences, age-standardized incidence, competing risk of death, Clinical Practice Research Datalink, United Kingdom
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Cause of Death, Female, United Kingdom, Humans, Male, Middle Aged, Risk Factors, Cohort Studies, Incidence, Motor Neuron Disease, Age Distribution, Sex Distribution, Databases as Topic, Young Adult
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