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The prevalence of multiple sclerosis (MS) in Oceania, a systematic review, and meta-analysis

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Abstract

Background

Oceania is a continent, covering more than 8 million km2, with a population of more than 44 million people. In different countries landing in Oceania, various prevalence of MS has been reported, so we designed this systematic review and meta-analysis to estimate the pooled prevalence of MS in Oceania.

Methods

We systematically searched PubMed, Scopus, EMBASE, Web of Science, and Google Scholar. We also searched references of included studies, and conference abstracts. The search was done on January 1, 2023, by two independent researchers. We extracted the name of the first author, country, publication year, prevalence period, number of study participants, total female and male population, disease duration, type of MS, mean duration of the disease, mean age at disease onset, mean Expanded Disability Status Scale (EDSS), and total female and male patients with MS.

Results

A literature search revealed 81,044 records; after deleting duplicates, 38,260 records remained. One hundred and six full texts were evaluated, and finally, seventeen studies remained for systematic review. Most studies were done in Newcastle; eight studies were done in 1961, 8 in 1981, 2 in 1996, and 2 in 2001. In all other years, only one study was done. The pooled prevalence of MS in 1961 in Oceania was estimated as 19.85/100,000 (I2=70.3%, p=0.001). The pooled prevalence of MS in 1981 in Oceania was estimated as 39.07/100,000 (I2 =88%, p=0.001).

Conclusions

The result of this systematic review and meta-analysis shows that the prevalence of MS has increased dramatically during the timespan in Oceania.

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References

  1. Mirmosayyeb O, Shaygannejad V, Bagherieh S, Hosseinabadi AM, Ghajarzadeh M (2022) Prevalence of multiple sclerosis (MS) in Iran: a systematic review and meta-analysis. Neurol Sci 43:233–241

    Article  PubMed  Google Scholar 

  2. Ghajarzadeh M, Jalilian R, Eskandari G, Sahraian MA, Azimi A, Mohammadifar M (2013) Fatigue in multiple sclerosis: relationship with disease duration, physical disability, disease pattern, age and sex. Acta Neurol Belg 113(4):411–414

    Article  PubMed  Google Scholar 

  3. Correale J, Aguirre MEB, Farez MF (2013) Sex-specific environmental influences affecting MS development. Clin Immunol 149(2):176–181

    Article  CAS  PubMed  Google Scholar 

  4. Browne P, Chandraratna D, Angood C, Tremlett H, Baker C, Taylor BV et al (2014) Atlas of multiple sclerosis 2013: a growing global problem with widespread inequity. Neurology. 83(11):1022–1024

    Article  PubMed  PubMed Central  Google Scholar 

  5. Cheong WL, Mohan D, Warren N, Reidpath DD (2018) Multiple sclerosis in the Asia Pacific region: a systematic review of a neglected neurological disease. Front Neurol 9:432

    Article  PubMed  PubMed Central  Google Scholar 

  6. Rosati G (2001) The prevalence of multiple sclerosis in the world: an update. Neurol Sci 22:117–139

    Article  CAS  PubMed  Google Scholar 

  7. Taylor BV, Pearson JF, Clarke G, Mason DF, Abernethy DA, Willoughby E et al (2010) MS prevalence in New Zealand, an ethnically and latitudinally diverse country. Mult Scler J 16(12):1422–1431

    Article  Google Scholar 

  8. Simpson S, Pittas F, Van Der Mei I, Blizzard L, Ponsonby A-L, Taylor B (2011) Trends in the epidemiology of multiple sclerosis in Greater Hobart, Tasmania: 1951 to 2009. J Neurol Neurosurg Psychiatry 82(2):180–187

    Article  PubMed  Google Scholar 

  9. Zhang GX, Carrillo-Vico A, Zhang WT, Gao SS, Izquierdo AG (2023) Incidence and prevalence of multiple sclerosis in China and other Asian countries. Neurologia. 38(3):159–172

    Article  CAS  PubMed  Google Scholar 

  10. Ribbons K, Lea R, Tiedeman C, Mackenzie L, Lechner-Scott J (2017) Ongoing increase in incidence and prevalence of multiple sclerosis in Newcastle, Australia: a 50-year study. Mult Scler J 23(8):1063–1071

    Article  Google Scholar 

  11. Barnett M, Williams D, Day S, Macaskill P, McLeod J (2003) Progressive increase in incidence and prevalence of multiple sclerosis in Newcastle, Australia: a 35-year study. J Neurol Sci 213(1-2):1–6

    Article  CAS  PubMed  Google Scholar 

  12. Chancellor A, Addidle M, Dawson K (2003) Multiple sclerosis is more prevalent in northern New Zealand than previously reported. Intern Med J 33(3):79–83

    Article  CAS  PubMed  Google Scholar 

  13. Hammond S, De Wytt C, Maxwell I, Landy P, English D, McLeod J et al (1987) The epidemiology of multiple sclerosis in Queensland, Australia. J Neurol Sci 80(2-3):185–204

    Article  CAS  PubMed  Google Scholar 

  14. Hornabrook R (1971) The prevalence of multiple sclerosis in New Zealand. Acta Neurol Scand 47(4):426–438

    Article  CAS  PubMed  Google Scholar 

  15. McCall M, Brereton T, Dawson A, Millingen K, Sutherland J, Acheson E (1968) Frequency of multiple sclerosis in three Australian cities--Perth, Newcastle, and Hobart. J Neurol Neurosurg Psychiatry 31(1):1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. McCall M, Sutherland J, Acheson E (1969) The frequency of multiple sclerosis in Western Australia. Acta Neurol Scand 45(2):151–165

    Article  CAS  PubMed  Google Scholar 

  17. Miller D, Hornabrook R, Purdie G (1992) The natural history of multiple sclerosis: a regional study with some longitudinal data. J Neurol Neurosurg Psychiatry 55(5):341–346

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Palmer AJ, Hitchens PL, Simpson S Jr, O’Leary B, Colman S, Taylor BV (2013) A novel method for calculating prevalence of multiple sclerosis in Australia. Mult Scler J 19(13):1704–1711

    Article  Google Scholar 

  19. Simmons R, Hall C, Gleeson P, Everard G, Casse R, O'Brien E (2001) Prevalence survey of multiple sclerosis in the Australian Capital Territory. Intern Med J 31(3):161–167

    Article  CAS  PubMed  Google Scholar 

  20. Skegg D, Corwin P, Craven R, Malloch J, Pollock M (1987) Occurrence of multiple sclerosis in the north and south of New Zealand. J Neurol Neurosurg Psychiatry 50(2):134–139

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Sutherland J, Tyrer J, Eadie M, Casey J, Kurland L (1966) The prevalence of multiple sclerosis in Queensland, Australia: a field survey. Acta Neurol Scand 42(S19):57–67

    Article  CAS  PubMed  Google Scholar 

  22. McLeod JG, Hammond SR, Hallpike JF (1994) Epidemiology of multiple sclerosis in Australia: with NSW and SA survey results. Med J Aust 160(3):117–122

    Article  CAS  PubMed  Google Scholar 

  23. Dal SR, Elphick TL, Fuller K (2023) Epidemiological study of multiple sclerosis in the Illawarra region. Intern Med J 53(6):1010–1017

  24. Kamali H, Hosseini S, Aliabadi HR, Poursadeghfard M, Sahraian MA, Eskandarieh S (2022) Increasing incidence and male to female sex ratio of multiple sclerosis in Tehran, Iran: a population-based study. Iran J Public Health 51(5):1193–1194

    PubMed  PubMed Central  Google Scholar 

  25. Eskandari G, Ghajarzadeh M, Yekaninejad MS, Sahraian MA, Gorji R, Rajaei F et al (2015) Comparison of serum vitamin D level in multiple sclerosis patients, their siblings, and healthy controls. Iran J Neurol 14(2):81

    PubMed  PubMed Central  Google Scholar 

  26. Hayes A, Lung T, Bauman A, Howard K (2017) Modelling obesity trends in Australia: unravelling the past and predicting the future. Int J Obes 41(1):178–185

    Article  CAS  Google Scholar 

  27. Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25(9):603–605

    Article  PubMed  Google Scholar 

  28. Amato MP, Derfuss T, Hemmer B, Liblau R, Montalban X, Soelberg Sørensen P et al (2018) Environmental modifiable risk factors for multiple sclerosis: report from the 2016 ECTRIMS focused workshop. Mult Scler J 24(5):590–603

    Article  Google Scholar 

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Correspondence to Mahsa Ghajarzadeh.

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Moghadasi, .N., Ebrahimi, N., Haghparast, E. et al. The prevalence of multiple sclerosis (MS) in Oceania, a systematic review, and meta-analysis. Neurol Sci 45, 75–82 (2024). https://doi.org/10.1007/s10072-023-07057-4

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