Time-trend evolution and determinants of sex ratio in Amyotrophic Lateral Sclerosis: a dose-response meta-analysis.

Age Amyotrophic lateral sclerosis Epidemiology Meta-analysis Sex ratio

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 05 01 2021
accepted: 10 02 2021
revised: 10 02 2021
pubmed: 26 2 2021
medline: 22 7 2021
entrez: 25 2 2021
Statut: ppublish

Résumé

A noticeable change of the male-to-female sex ratio (SR) has been observed in Amyotrophic Lateral Sclerosis (ALS) leading to an apparent regression of SR with time (SR close to 1:1). To provide a global SR estimate and investigate its relation with respect to population age. A systematic review and meta-analysis was conducted including only population-based studies with a high-quality methodology in European ancestral origin population. Male-to-female SR was estimated by three different measures: SR number, SR crude incidence and SR standardized incidence. Standard and dose-response meta-analyses were performed to assess the pooled SR measures (irrespective of population age) and the evolution of the SR measures with respect to population age, respectively. Potential sources of heterogeneity were investigated via meta-regression. Overall, 3254 articles were retrieved in the literature search. Thirty-nine studies stratified by time periods were included. The overall pooled male-to-female ratio was 1.28 (95% CI 1.23-1.32) for SR number, 1.33 (95% CI 1.29-1.38) for SR crude incidence and 1.35 (95% CI 1.31-1.40) for SR standardized incidence. The SR number with respect to population age reveals a progressive reduction of SR at increasing age, while the SR crude incidence in relation to age displays a U-shaped curve. The number and the incidence of ALS cases were consistently higher in males than females. Dose-response meta-analysis showed that SR measures change with respect to population age. Further original research is needed to clarify if our findings are reproducible in other populations.

Sections du résumé

BACKGROUND BACKGROUND
A noticeable change of the male-to-female sex ratio (SR) has been observed in Amyotrophic Lateral Sclerosis (ALS) leading to an apparent regression of SR with time (SR close to 1:1).
OBJECTIVE OBJECTIVE
To provide a global SR estimate and investigate its relation with respect to population age.
METHODS METHODS
A systematic review and meta-analysis was conducted including only population-based studies with a high-quality methodology in European ancestral origin population. Male-to-female SR was estimated by three different measures: SR number, SR crude incidence and SR standardized incidence. Standard and dose-response meta-analyses were performed to assess the pooled SR measures (irrespective of population age) and the evolution of the SR measures with respect to population age, respectively. Potential sources of heterogeneity were investigated via meta-regression.
RESULTS RESULTS
Overall, 3254 articles were retrieved in the literature search. Thirty-nine studies stratified by time periods were included. The overall pooled male-to-female ratio was 1.28 (95% CI 1.23-1.32) for SR number, 1.33 (95% CI 1.29-1.38) for SR crude incidence and 1.35 (95% CI 1.31-1.40) for SR standardized incidence. The SR number with respect to population age reveals a progressive reduction of SR at increasing age, while the SR crude incidence in relation to age displays a U-shaped curve.
CONCLUSIONS CONCLUSIONS
The number and the incidence of ALS cases were consistently higher in males than females. Dose-response meta-analysis showed that SR measures change with respect to population age. Further original research is needed to clarify if our findings are reproducible in other populations.

Identifiants

pubmed: 33630135
doi: 10.1007/s00415-021-10464-2
pii: 10.1007/s00415-021-10464-2
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2973-2984

Informations de copyright

© 2021. Springer-Verlag GmbH, DE part of Springer Nature.

Références

Beghi E, Logroscino G, Chiò A et al (2006) The epidemiology of ALS and the role of population-based registries. Biochim Biophys Acta 1762:1150–1157. https://doi.org/10.1016/j.bbadis.2006.09.008
doi: 10.1016/j.bbadis.2006.09.008 pubmed: 17071060
Logroscino G, Traynor BJ, Hardiman O et al (2008) Descriptive epidemiology of amyotrophic lateral sclerosis: new evidence and unsolved issues. J Neurol Neurosurg Psychiatry 79:6–11. https://doi.org/10.1136/jnnp.2006.104828
doi: 10.1136/jnnp.2006.104828 pubmed: 18079297
Luna J, Logroscino G, Couratier P, Marin B (2017) Current issues in ALS epidemiology: variation of ALS occurrence between populations and physical activity as a risk factor. Rev Neurol (Paris) 173:244–253. https://doi.org/10.1016/j.neurol.2017.03.035
doi: 10.1016/j.neurol.2017.03.035
Chiò A, Mora G, Moglia C et al (2017) Secular trends of amyotrophic lateral sclerosis: the piemonte and valle d’Aosta register. JAMA Neurol 74:1097–1104. https://doi.org/10.1001/jamaneurol.2017.1387
doi: 10.1001/jamaneurol.2017.1387 pubmed: 28692730 pmcid: 5710181
Marin B, Boumédiene F, Logroscino G et al (2017) Variation in worldwide incidence of amyotrophic lateral sclerosis: a meta-analysis. Int J Epidemiol 46:57–74. https://doi.org/10.1093/ije/dyw061
doi: 10.1093/ije/dyw061 pubmed: 27185810
Marin B, Logroscino G, Boumédiene F et al (2016) Clinical and demographic factors and outcome of amyotrophic lateral sclerosis in relation to population ancestral origin. Eur J Epidemiol 31:229–245. https://doi.org/10.1007/s10654-015-0090-x
doi: 10.1007/s10654-015-0090-x pubmed: 26458931
Marin B, Fontana A, Arcuti S et al (2018) Age-specific ALS incidence: a dose-response meta-analysis. Eur J Epidemiol 33:621–634. https://doi.org/10.1007/s10654-018-0392-x
doi: 10.1007/s10654-018-0392-x pubmed: 29687175
Stroup DF, Berlin JA, Morton SC et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283:2008–2012. https://doi.org/10.1001/jama.283.15.2008
doi: 10.1001/jama.283.15.2008 pubmed: 10789670 pmcid: 10789670
Fiest KM, Pringsheim T, Patten SB et al (2014) The role of systematic reviews and meta-analyses of incidence and prevalence studies in neuroepidemiology. Neuroepidemiology 42:16–24. https://doi.org/10.1159/000355533
doi: 10.1159/000355533 pubmed: 24356060
Mitsumoto H, Chad DA, Pioro EP (1998) Amyotrophic lateral sclerosis. Oxford University Press, Oxford
Szklo M (1998) Population-based cohort studies. Epidemiol Rev 20:81–90. https://doi.org/10.1093/oxfordjournals.epirev.a017974
doi: 10.1093/oxfordjournals.epirev.a017974 pubmed: 9762511
(2000) Census, race and science. Nat Genet 24:97–98. https://doi.org/10.1038/72884
United Nations Statistics Division Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings. https://unstats.un.org/unsd/methodology/m49/
Sorenson EJ, Stalker AP, Kurland LT, Windebank AJ (2002) Amyotrophic lateral sclerosis in Olmsted County, Minnesota, 1925 to 1998. Neurology 59:280–282. https://doi.org/10.1212/wnl.59.2.280
doi: 10.1212/wnl.59.2.280 pubmed: 12136072
United Nations Demographic yearbook. DYB annual issues. https://unstats.un.org/unsd/demographic-social/products/dyb/index.cshtml
Greenland S (1987) Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9:1–30. https://doi.org/10.1093/oxfordjournals.epirev.a036298
doi: 10.1093/oxfordjournals.epirev.a036298 pubmed: 3678409
van Houwelingen HC, Arends LR, Stijnen T (2002) Advanced methods in meta-analysis: multivariate approach and meta-regression. Stat Med 21:589–624. https://doi.org/10.1002/sim.1040
doi: 10.1002/sim.1040 pubmed: 11836738
Higgins J, Thomas J (2011) Cochrane Handbook for Systematic Reviews of Interventions. The Cochrane Collaboration
Manjaly ZR, Scott KM, Abhinav K et al (2010) The sex ratio in amyotrophic lateral sclerosis: a population based study. Amyotroph Lateral Scler Off Publ World Fed Neurol Res Group Mot Neuron Dis 11:439–442. https://doi.org/10.3109/17482961003610853
doi: 10.3109/17482961003610853
Trojsi F, D’Alvano G, Bonavita S, Tedeschi G (2020) Genetics and sex in the pathogenesis of amyotrophic lateral sclerosis (ALS): is there a link? Int J Mol Sci. https://doi.org/10.3390/ijms21103647
doi: 10.3390/ijms21103647 pubmed: 32455692 pmcid: 7279172
Deeks JJ, Higgins JP, Douglas DG, on behalf of the Cochrane Statistical Methods Group (2019) Chapter 10: analysing data and undertaking meta-analyses. In: Cochrane Handbook for Systematic Reviews of Interventions, 2nd Edition. John Wiley & Sons, Chichester (UK)
Radhakrishnan K, Ashok PP, Sridharan R, Mousa ME (1986) Descriptive epidemiology of motor neuron disease in Benghazi, Libya. Neuroepidemiology 5:47–54. https://doi.org/10.1159/000110812
doi: 10.1159/000110812 pubmed: 3489194
Sajjadi M, Etemadifar M, Nemati A et al (2010) Epidemiology of amyotrophic lateral sclerosis in Isfahan. Iran Eur J Neurol 17:984–989. https://doi.org/10.1111/j.1468-1331.2010.02972.x
doi: 10.1111/j.1468-1331.2010.02972.x pubmed: 20214678
Ramanathan RS, Rana S (2018) Demographics and clinical characteristics of primary lateral sclerosis: case series and a review of literature. Neurodegener Dis Manag 8:17–23. https://doi.org/10.2217/nmt-2017-0051
doi: 10.2217/nmt-2017-0051 pubmed: 29316850
Wijesekera LC, Mathers S, Talman P et al (2009) Natural history and clinical features of the flail arm and flail leg ALS variants. Neurology 72:1087–1094. https://doi.org/10.1212/01.wnl.0000345041.83406.a2
doi: 10.1212/01.wnl.0000345041.83406.a2 pubmed: 19307543 pmcid: 2821838
Logroscino G, Marin B, Piccininni M et al (2018) Referral bias in ALS epidemiological studies. PLoS ONE 13:e0195821. https://doi.org/10.1371/journal.pone.0195821
doi: 10.1371/journal.pone.0195821 pubmed: 29659621 pmcid: 5901916
Finegan E, Chipika RH, Li Hi Shing S et al (2019) The clinical and radiological profile of primary lateral sclerosis: a population-based study. J Neurol 266:2718–2733. https://doi.org/10.1007/s00415-019-09473-z
doi: 10.1007/s00415-019-09473-z pubmed: 31325016
McCombe PA, Henderson RD (2010) Effects of gender in amyotrophic lateral sclerosis. Gend Med 7:557–570. https://doi.org/10.1016/j.genm.2010.11.010
doi: 10.1016/j.genm.2010.11.010 pubmed: 21195356 pmcid: 21195356
Alonso A, Logroscino G, Jick SS, Hernán MA (2010) Association of smoking with amyotrophic lateral sclerosis risk and survival in men and women: a prospective study. BMC Neurol 10:6. https://doi.org/10.1186/1471-2377-10-6
doi: 10.1186/1471-2377-10-6 pubmed: 20074360 pmcid: 2820482
Weisskopf MG, McCullough ML, Calle EE et al (2004) Prospective study of cigarette smoking and amyotrophic lateral sclerosis. Am J Epidemiol 160:26–33. https://doi.org/10.1093/aje/kwh179
doi: 10.1093/aje/kwh179 pubmed: 15229114
Chiò A, Moglia C, Canosa A et al (2020) ALS phenotype is influenced by age, sex, and genetics: a population-based study. Neurology 94:e802–e810. https://doi.org/10.1212/WNL.0000000000008869
doi: 10.1212/WNL.0000000000008869 pubmed: 31907290

Auteurs

Andrea Fontana (A)

Unit of Biostatistics, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.

Benoit Marin (B)

Ministère de la Sante et des Solidarités, Cellule Interministérielle Recherche MSS/MESRI, Paris, France. benoit.marin@sante.gouv.fr.

Jaime Luna (J)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.
CHU Limoges, Department of Neurology, ALS Expert Center, Limoges, France.

Ettore Beghi (E)

Laboratorio di Malattie Neurologiche, Istituto di Ricerche Farmacologiche Mario Negri, Milano IRCCS, Milan, Italy.

Giancarlo Logroscino (G)

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

Farid Boumédiene (F)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.

Pierre-Marie Preux (PM)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.
CHU Limoges, Centre d'Epidémiologie, de Biostatistique et de Méthodologie de la Recherche, Limoges, France.

Philippe Couratier (P)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.
CHU Limoges, Department of Neurology, ALS Expert Center, Limoges, France.

Massimilano Copetti (M)

Unit of Biostatistics, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH