Literature DB >> 31287842

Correction: Epidemiology of multiple sclerosis in Iran: A systematic review and meta-analysis.

Milad Azami, Mohammad Hossein YektaKooshali, Masoumeh Shohani, Ali Khorshidi, Leily Mahmudi.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0214738.].

Entities:  

Year:  2019        PMID: 31287842      PMCID: PMC6615610          DOI: 10.1371/journal.pone.0219466

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


In the Results subsection of the Abstract, there are errors in the third and fourth sentence of the paragraph. The correct sentences are: The prevalence of MS in men and women was estimated to be 16.5/ 100,000 (95% CI: 13.3–20.5) and 44.8/ 100,000 (95% CI: 36.2–55.4), respectively. The incidence of MS in men was estimated to be 1.2/ 100,000 (95% CI: 1.0–1.4) and the incidence of MS in women was 48.2/ 100,000 (95% CI: 39.3–59.1). In the 3.1. Study characteristics and methodological quality subsection of the Results, there is an error in the third sentence of the paragraph. The correct sentence is: Finally, 39 articles (included 92 studies for prevalence and 34 studies for incidence) entered the meta-analysis process after qualitative assessment. In the 3.4. Prevalence of MS based on gender subsection of the Results, there is an error in the first sentence of the paragraph. The correct sentence is: The prevalence of MS in men and women was estimated to be 16.5/ 100,000 (95% CI: 13.3–20.5) and 44.8/ 100,000 (95% CI: 36.2–55.4), respectively (Fig 4). In the 3.7. Incidence of MS based on gender subsection of the Results, there is an error in the first sentence of the paragraph. The correct sentence is: The incidence of MS in men was estimated to be 1.2/ 100,000 (95% CI: 1.0–1.4) and the incidence of MS in women was 48.2/ 100,000 (95% CI: 39.3–59.1) (Fig 6). There is an error in Table 2. Please see the correct Table 2 here.
Table 2

MS prevalence based on region, gender, provinces, year of study and design.

VariableStudies (N)*Sample (N)Heterogeneity95% CIPooled(Per 100,000)
MSAllI2P-Value
Region12 different11952446695319--41.2–42.442.4
All Iran25196214564545199.97< 0.00120.4–57.434.2
Center4717422936814905999.94< 0.00128.6–43.135.1
East837562401142199.62< 0.0015.3–18.19.8
North14116403225022699.50< 0.00118.7–32.024.5
South13174664050454499.69< 0.00125.6–44.633.8
West742371253478698.01< 0.00122.4–41.930.6
Test for subgroup differences: Q = 45.66, df(Q) = 6, P< 0.001
GenderMale31257117690708294.77<0.000113.3–20.516.5
Female31743567543213199.87< 0.00136.2–55.444.8
Rate ratio of female to male: OR = 3.01 (2.79–2 = 3.24, P<0.001)
Province12 different major provinces of Iran11952446695319--41.2–42.441.8
Alborz117372412513--68.7–75.572.0
All Iran25196214564545199.97< 0.00120.4–57.434.2
Ardabil15061248488--37.1–44.240.5
Bushehr133103949--22.6–44.731.7
Chahar Mahaal and Bakhtiari1537895263--55.1–65.360.0
East Azerbaijan46971150831599.74< 0.00125.8–67.441.7
Fars4118671844169299.12< 0.00152.3–76.963.4
Golestan13731777014--19.0–23.221.0
Guilan21643496174897.19< 0.00124.5–43.932.8
Hamadan19851758268--52.6–59.656.0
Hormozgan13001578183--17.0–21.319.0
Ilam1162557599--24.9–33.929.1
Isfahan7213023255901599.79< 0.00143.5–79.358.7
Kerman32102608516885.39< 0.00131.0–40.435.4
Kermanshah2818389045486.51< 0.00117.4–25.321.0
Khuzestan431641429555298.11< 0.00115.3–26.220.1
Kohgiluyeh and Boyer-Ahmad31163203030296.72< 0.00140.3–76.855.7
Kordestan16121493645--37.9–44.441.0
Lorestan13511754244--18.0–22.220.0
Markazi18621413959--57.0–65.261.0
Mazandaran21781599637599.43< 0.00114.4–53.927.9
North Khorasan3332254702692.70< 0.0018.3–18.812.5
Qazvin11921201565--13.9–18.416.0
Qom21180230334400.604.03–44.942.5
Razavi Khorasan228791158748199.82< 0.0017.9–59.021.6
Semnan1353631218--50.4–62.155.9
Sistan and Balouchestan57711176140675.34< 0.0015.6–7.56.5
South Khorasan2140129895499.77< 0.0013.2–27.39.3
Tehran2814627032261171899.96< 0.00120.7–36.727.6
West Azerbaijan113093080576--4.03–44.942.5
Yazd14401074428--37.3–45.041.0
Zanjan11931015734--16.5–21.919.0
Test for subgroup differences: Q = 2559.92, df(Q) = 32, P< 0.001
Year of study< 1990211101753955269.130.0725.7–7.06.3
1990–1994543824722214497.14< 0.0017.6–10.89.1
1995–1999597635325198198.62< 0.00115.1–21.317.9
2000–20045204126095502999.27< 0.00127.9–38.632.8
2005–2009205854518227742899.82< 0.00115.5–23.619.1
2010–20145115169028016572699.81< 0.00135.8–45.840.5
2015–20184369122837894699.76< 0.00150.7–85.065.6
Test for subgroup differences: Q = 744.07, df(Q) = 6, P< 0.001
Study designPopulation based8226617562782110299.83< 0.00127.0–35.931.1
Cross-sectional10166394196970499.92< 0.00111.7–27.317.9
Test for subgroup differences: Q = 5.89, df(Q) = 1, P = 0.015

N: Number; CI: confidence interval

* Some studies have been included and estimated the prevalence and incidence for more than 1 year and also regions. Each data was considered separately because of assessing the slope of prevalence and incidence in the years and estimating which region is the highest or lowest

N: Number; CI: confidence interval * Some studies have been included and estimated the prevalence and incidence for more than 1 year and also regions. Each data was considered separately because of assessing the slope of prevalence and incidence in the years and estimating which region is the highest or lowest
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