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Erschienen in: BMC Neurology 1/2022

Open Access 01.12.2022 | Research

Systematic literature review and meta-analysis of the prevalence of secondary progressive multiple sclerosis in the USA, Europe, Canada, Australia, and Brazil

verfasst von: Vijayalakshmi Vasanthaprasad, Vivek Khurana, Sreelatha Vadapalle, Jackie Palace, Nicholas Adlard

Erschienen in: BMC Neurology | Ausgabe 1/2022

Abstract

Background

Secondary progressive multiple sclerosis (SPMS) is a subtype of multiple sclerosis (MS), which is a chronic neurological disease, characterised by inflammation of the central nervous system. Most of MS patients eventually progress to SPMS. This study estimates the prevalence of SPMS in the United States of America, Europe, Canada, Australia, and Brazil.

Methods

A systematic literature search of the Medline and Embase databases was performed using the OVID™ SP platform to identify MS epidemiological studies published in English from database inception to September 22, 2020. Studies reporting the prevalence of MS and proportion of SPMS patients in the included population were selected. The pooled prevalence of SPMS was calculated based on the proportion of SPMS patients. The Loney quality assessment checklist was used for quality grading. A meta-analysis of the proportions was conducted in RStudio.

Results

A total of 4754 articles were retrieved, and prevalence was calculated from 97 relevant studies. Overall, 86 medium- and high-quality studies were included in the meta-analysis. Most studies were conducted in European countries (84 studies). The estimated pooled prevalence of SPMS was 22.42 (99% confidence interval: 18.30, 26.95)/100,000. The prevalence of SPMS was more in the North European countries, highest in Sweden and lowest in Brazil. A decline in SPMS prevalence was observed since the availability of oral disease-modifying therapies. We also observed a regional variation of higher SPMS prevalence in urban areas compared with rural areas.

Conclusion

High variability was observed in the estimated SPMS prevalence, and the quality of the studies conducted. The influence of latitude and other factors known to affect overall MS prevalence did not fully explain the wide range of inter-country and intra-country variability identified in the results.

Background

Multiple sclerosis (MS) has affected approximately 2.2 million people worldwide till 2016 [1]. MS epidemiological studies have consistently reported that 85% of MS patients start with relapsing-remitting MS (RRMS), of which the majority eventually develop secondary progressive MS (SPMS), often with superimposed relapses that tend to decline over time [2]. A systematic literature review of 92 studies reported that approximately 25% of patients with RRMS progress to SPMS by 10 years, 50% progress by 20 years, and over 75% progress by 30 years, with most studies reporting a mean age of 40 years at conversion to SPMS [3]. SPMS is usually diagnosed retrospectively by a history of gradual worsening of disability outside of relapses [2]. Evidence suggests that MS is more prevalent in women than in men [4]. Most MS patients experience clinical disease onset between 20 and 40 years of age [4]. Several epidemiological studies have reported an increasing MS prevalence with increasing latitude. North European countries and North America constitute the high-risk MS prevalence zone, with a high MS prevalence of more than 100 cases per 100,000 population. Low MS risk areas are centred around the equator, with less than 30 cases per 100,000 population. Medium MS risk areas are located in between with prevalence within a similar range [5].
Observational studies have consistently demonstrated a higher clinical and economic burden owing to SPMS among all subtypes of MS [6, 7]. However, epidemiological data for SPMS are not available, and there is a great need to better understand the approximate prevalence of SPMS to estimate the true SPMS disease burden. In a consensus paper, Lublin et al. revised the definitions of the clinical course of MS by using refined descriptors that include consideration of disease activity and encourage differentiation between the relapsing and progressive forms of MS, but they also acknowledged that to date, there are no clear clinical, imaging, immunologic, or pathologic criteria to determine the transition point when RRMS converts to SPMS and that the transition is usually gradual [2]. With more clarity on the MS disease classification, researchers are currently attempting to explore epidemiological aspects by MS subtype [2, 8]. Khurana et al. reported a wide variation in the estimated prevalence of SPMS within and across countries but with uncertainty related to methodology and consequent results [9]. The objective of the current study was to estimate the prevalence of SPMS in the United States of America (USA), Europe, Canada, Australia, and Brazil based on the data collected from a systematic literature review. These countries were selected based on the availability and quality of MS prevalence data [10].

Methods

Data sources and search strategy

A systematic literature search of the Medline and Embase databases was performed using the OVID™ SP platform. Major European conference abstracts between 2016 and 2018 were also searched. The search strings used were “(Multiple sclerosis AND (Epidem* OR Inciden* OR Prevalen*).ti,ab. AND (Europe OR Europ* OR Albania OR Andorra OR Armenia OR Austria OR Azerbaijan OR Belarus OR Belgium OR Bosnia OR Herzegovina OR Bulgaria OR Croatia OR Cyprus OR Czech Republic OR Denmark OR Estonia OR Finland OR France OR Georgia OR Germany OR Greece OR Hungary OR Iceland OR Ireland OR Northern Ireland OR Eire OR Italy OR Kazakhstan OR Kosovo OR Latvia OR Liechtenstein OR Lithuania OR Luxembourg OR Macedonia OR Malta OR Moldova OR Monaco OR Montenegro OR Netherlands OR Norway OR Poland OR Portugal OR Romania OR Russia OR San Marino OR Serbia OR Slovakia OR Slovenia OR Spain OR Sweden OR Switzerland OR Turkey OR Ukraine OR United kingdom OR UK OR England OR Scotland OR Wales OR US OR United states OR Canada OR Australia OR Brazil)).mp.” To validate the search further, bibliographies of all relevant reviews and primary studies were screened.

Inclusion and exclusion criteria

Studies published in English from database inception up to September 22, 2020, reporting the prevalence and/or incidence of adult MS (aged > 18 years) and the proportion of SPMS patients were included. Studies presenting paediatric MS data or MS epidemiological studies that did not include the proportion of SPMS patients were excluded. The study design was not a criterion for exclusion.

Screening strategy and data extraction

After removing duplicates across the databases, the search result from the OVID platform was exported into an automated Excel file for screening. Two reviewers (VV and VK) independently screened the titles and abstracts and selected potentially relevant studies. Further, full texts of these studies were screened for inclusion and exclusion criteria. Reasons for exclusion were recorded, and any disparities in relevance were resolved by a third reviewer. Study details including region, target population, study design, diagnostic criteria, sampling method, date of survey, and study duration; baseline characteristics of the study population; and study outcomes (incident cases, incidence, prevalent cases, prevalence, and denominator used) were extracted into a predefined Excel data sheet.

Quality assessment

The Loney quality assessment checklist, developed specifically for prevalence studies, was used for the quality grading of the included studies [11]. The Loney tool evaluates the methods of sampling, sample size, outcome measurement, outcome assessment, response rate, statistical reporting, and interpretation of study results. The overall single quality scores range from 0 to 8, with scores from 0 to 3 indicating poor, scores from 4 to 5 indicating moderate, and scores from 6 to 8 indicating higher methodological quality.

Data analysis

Only moderate- and high-quality studies (i.e., scores from 4 to 8) were included in the meta-analysis. The meta-analysis was conducted using meta-analysis of proportions using “meta,” “metafor,” and “weightr” packages in the R software (version 3.5.2) [12, 13]. A random effects model was considered more appropriate for the present analysis owing to the heterogeneous study populations from diverse geographies. A binary outcome was assigned to each study based on the number of prevalent SPMS cases across the entire population. A pooled effect size estimate was evaluated for the studies by considering a weighted average of effect sizes, wherein weights were assigned proportionally to the sample size of each study. The Q, Ƭ2, and I2 statistics were measured to assess heterogeneity among the studies. The Q statistic is calculated as the weighted sum of squared differences between individual study effects and the pooled effect across studies. The Ƭ2 statistic is an estimate of between-study variance, whereas the I2 statistic is expressed as the percentage of the total variability in a set of effect sizes owing to true heterogeneity. If the Q, Ƭ2, and I2 values fell outside their 95% confidence interval (CI), 99% CI was used instead. The raw prevalence rates were transformed using the Freeman-Tukey (double arcsine) transformation to normalise their sampling distribution and stabilise their variance. A back transformation on the effect size was implemented using the same method to obtain the prevalence of SPMS.
Further, studies considered as outliers and influential on the summary effect size were identified by conducting tests such as studentised residuals test and leave-one-out analysis, presented in the Baujat plot [14]. Additionally, a diagnostic test was conducted to identify the influential studies. If substantial heterogeneity remained after excluding the outliers, a moderator analysis or subgroup analysis was conducted to discover other possible sources of heterogeneity. As meta-analysis of proportions includes observational and noncomparative studies, publication bias is not pertinent. However, the funnel plot and Egger test [15] were conducted to examine if the distribution of effect size estimates followed the usual pattern of less variation with higher number of studies and if the small-study effect was present.

Ethical statement

The study did not require informed consent or institutional review board approval as no identifiable patient information was extracted. This systematic review was conducted and reported according to the Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement [16, 17]. The review protocol is available with the corresponding author.

Results

A total of 4754 articles were retrieved from the search, of which 97 relevant studies were included and reviewed for their quality using the Loney score. Following quality assessment, 86 moderate- and high-quality studies were included in the meta-analysis (Fig. 1). Most included studies were retrospective chart reviews that followed the Poser or McDonald criteria for diagnosis (75 studies). Most studies were conducted in European countries (84 studies), especially Italy (19 studies) and Spain (13 studies). None of the epidemiological studies from the USA reported the proportion of SPMS patients; hence, they were not included in this review (Table 1). The average Loney score for all the 97 included studies was 4.6 and ranged from 1 to 8. A total of 86 studies scored ≥4 on the Loney scale and were included in the meta-analysis (Additional file 1, Table 1). Only one study reported the proportion of SPMS patients according to its subtypes. The estimated prevalence of SPMS with progression but without activity was 3.4/100,000 and without progression or activity was 6.9/100,000 [18].
Table 1
Summary of SPMS prevalence studies and quality assessments
 
Studies
Region
Study year/ prevalence day
Loney score
Diagnostic criteria
General population denominator
SPMS prevalent cases
SPMS prevalence (per 100,000)
MS prevalence (per 100,000)
Europe
Bosnia and Herzegovina
  1
Klupka-Saric et al., 2007 [19]
Western Herzegovina
Dec 31, 2003
5
McDonald criteria
300,746
29
9.6
26.9
  2
Klupka-Saric and Galic, 2010 [20]
Western Herzegovina Canton and Herzegovina-Neretva Canton
Dec 31, 2006
5
McDonald criteria
309,712
29
9.4
31
Bulgaria
  3
Milanov et al., 1999 [21]
Sofia
Mar 31, 1998
5
Poser criteria
74,334
12
16.1
43.1
Samokov
44,616
10
22.4
38.1
Croatia
  4
Perkovic et al., 2010 [22]
The town of Cabar
Dec 31, 2001
3
NR
4387
3
59.5
205.7
Croatia, Slovenia
  5
Peterlin et al., 2006 [23]
Gorski Kotar, Croatia and Kocˇevje, Slovenia
Jun 1, 1999
5
Poser criteria
57,258
35
61.8
151.9
Finland
  6
Laakso et al., 2019 [24]
Helsinki and Uusimaa, Southwest Finland, Tavastia Proper, Northern Savonia, and Central Finland
Dec 31, 2018
5
McDonald criteria
2,804,616
723
25.8
191.3
France
  7
Berr et al., 1989 [25]
Hautes-Pyrenees
Jun 1, 1983
2
Poser criteria
227,942
5
2.2
40.0
  8
Debouverie, 2009 [26]
Lorraine
2002
4
Diagnosed by a neurologist
2,310,376
933
40.4
109.0
Germany
  9
Fasbender and Kolmel, 2008 [27]
Urban Area of Erfurt, Thuringia
Jan 31, 2006
4
Poser criteria
201,267
97
48.3
127.2
  10
Hoer et al., 2014 [28]
Bavaria
2009
2
Diagnosed by a neurologist
10,400,000
1363
13.1
174.8
Greece
  11
Papathanasopoulos et al., 2008 [29]
Rion-Patras
Dec 31, 2006
2
Poser and McDonald criteria
652,108
172
26.4
119.61
  12
Piperidou et al., 2003 [30]
Province of Evros
Dec 31, 1999
1
Poser criteria
143,752
14
9.7
38.9
Hungary
  13
Bencsik et al., 1998 [31]
Szeged city, Csongra’d County
1997
4
Poser criteria
198,682
5
2.6
65.0
  14
Bencsik et al., 2001 [32]
Csongrad County
Jul 1, 1999
4
Poser criteria
400,128
48
12.0
62.0
  15
Zsiros et al., 2014 [33]
Csongrad County
Jan 1, 2013
4
McDonald criteria
421,827
52
12.3
89.8
  16
Biernacki et al., 2020 [34]
Csongrad County
Jan 1, 2019
4
McDonald criteria
399,012
102
25.6
105.3
Ireland
  17
McDonnell and Hawkins, 1998 [35]
Ballymena, Coleraine, Ballymoney, and Moyle districts spanning the counties of Antrim and Derry in Northern Ireland
July 1, 1996
5
Poser criteria
151,000
111
73.5
190.0
  18
McGuigan et al., 2004 [36]
Wexford
Jan 1, 2001
5
Poser criteria
104,372
49
46.6
120.7
Donegal
129,994
92
70.5
184.6
  19
Gray et al., 2008 [37]
Northeast of Northern Ireland
Jan 1, 2004
6
Poser/McDonald criteria
160,446
112
69.8
230.6
  20
Lonergan et al., 2011 [38]
Donegal County
Dec 31, 2007
6
McDonald criteria
113,347
124
109.1
290.3
Wexford
119,442
75
62.6
144.8
Southeast Dublin city
101,721
51
50.1
127.8
All three areas
334,510
251
75.0
188.9
Italy
  21
Bellantonio et al., 2013 [39]
Campobasso, chief town of Molise region
Sep 30, 2009
5
Diagnosed by a neurologist
51,633
17
32.9
91.0
  22
Bergamaschi et al., 2020 [40]
Pavia, Northern Italy
Dec 31, 2016
5
McDonald criteria
547,251
295
53.9
169.4
  23
Caniglia-Tenaglia et al., 2018 [41]
Republic of San Marino
Dec 31, 2014
5
Diagnosed by a neurologist
32,789
12
36.8
204.3
  24
Cavalletti et al., 1994 [42]
Province of Modena, Northern Italy
Dec 31, 1990
5
McAlpine and Confavreux
603,989
53
8.8
38.9
  25
Granieri et al., 1996 [43]
Ferrara
Dec 31, 1993
5
Poser criteria
358,808
73
20.3
69.4
  26
Granieri et al., 2007 [44]
Province of Ferrara, Northern Italy
Dec 31, 2004
5
Poser criteria
349,777
147
41.9
120.9
  27
Granieri et al., 2008 [45]
Republic of San Marino
Dec 31, 2005
4
Poser criteria
29,999
5
16.7
166.7
  28
Granieri et al., 2018 [46]
Province of Ferrara, Northern Italy
Dec 31, 2016
4
McDonald 2010 criteria
351,436
162
45.9
197.5
  29
Grimaldi et al., 2007 [47]
Caltanissetta (Sicily), Southern Italy
Dec 31, 2002
4
Poser criteria
60,919
16
26.3
165.8
  30
Guidetti et al., 1995 [48]
Provinces of Reggio Emilia and Modena
Dec 31, 1990
4
McAlpine criteria
1,024,223
30
2.9
40.2
  31
Iuliano et al., 2014 [49]
Salerno (Southern Italy)
Dec 31, 2010
5
McDonald criteria
366,025
79
21.6
85.2
  32
Millefiorini et al., 2010 [50]
Province of Frosinone
Jan 1, 2007
5
Poser criteria
491,548
85
17.2
95.0
  33
Nicoletti et al., 2001 [51]
Catania, Sicily
Jan 1, 1995
5
Poser criteria
333,075
68
20.4
58.5
  34
Nicoletti et al., 2005 [52]
Catania, Sicily
Dec 31, 1999
5
Poser criteria
313,110
77
24.6
92.0
  35
Nicoletti et al., 2011 [53]
Catania, Sicily
Dec 31, 2004
5
Poser criteria
313,110
90
28.7
127.1
  36
Patti et al., 2019 [54]
Sicily
Dec 31, 2018
4
McDonald criteria and Thompson criteria
23,948
5
20.9
292.3
  37
Solaro et al., 2005 [55]
Province of Genoa
Dec 31, 1997
5
Poser criteria
913,218
150
16.4
94.0
  38
Totaro et al., 2000 [56]
L’Aquila
Dec 31, 1996
5
Poser criteria
297,828
29
9.7
53.0
Kosovo
  39
Zeqiraj et al., 2014 [57]
Prishtina
2003–2012
2
McDonald criteria
2,102,041
93
4.4
19.6
Netherlands
  40
Minderhoud et al., 1988 [58]
Groningen
NR
2
Poser criteria
560,000
108
19.3
61.1
Norway
  41
Dahl et al., 2004 [59]
Nord-Trøndelag County
Jan 1, 2000
6
Diagnosed by a neurologist
127,108
59
46.4
163.6
  42
Gronning and Mellgren, 1985 [60]
Troms and Finnmark
Jan 1, 1983
3
Rose criteria
225,073
23
10.4
31.5
  43
Risberg et al., 2011 [61]
Oppland County hospitals, Gjøvik, and Lillehammer
Jan 1, 2002
4
Poser criteria
183,235
95
51.8
174.1
Poland
  44
Brola et al., 2016 [62]
Swietokrzyskie Province
Dec 31, 2014
5
McDonald criteria
1,263,176
317
25.1
115.7
  45
Brola et al., 2017 [63]
Swietokrzyskie Province
Dec 31, 2015
5
McDonald criteria
1,257,179
360
28.6
121.3
  46
Kapica-Topczewska et al., 2018 [64]
Central Poland
Dec 31, 2013
5
McDonald criteria
1,268,239
311
24.6
109.1
Northeastern Poland
1,195,625
318
26.6
108.6
  47
Kułakowskaa et al., 2017 [65]
Northeastern Poland (Podlaskie voivodeship)
NR
3
McDonald criteria
750,460
200
26.6
108.6
  48
Potemkowski and Jasinska, 2015 [66]
Kielce, Central Poland
NR
4
McDonald criteria
200,938
71
35.4
98.53
Portugal
  49
Branco et al., 2020 [67]
Entre Douro e Vouga region
Jul 1, 2014
5
McDonald criteria
274,859
36
13.1
64.4
  50
De Sa et al., 2006 [68]
District of Santarém
Nov 1, 1998
6
Poser criteria
62,621
6
9.6
46.3
  51
Figueiredo et al., 2015 [69]
Braga
Dec 31, 2009
5
Diagnosed by a neurologist
866,012
49
5.7
39.8
  52
Lopes et al., 2020 [70]
Sao Miguel
Jul 1, 2019
4
McDonald criteria
137,150
4
2.9
34.3
  53
Ruano et al., 2014 [71]
Entre Douro-e-Vouga
Jan 1, 2013
4
McDonald criteria
274,859
34
12.3
58.6
Romania
  54
Becus and Popoviciu, 1994 [72]
Mures County
Dec 31, 1986
2
Diagnosed by a neurologist
615,032
8
1.3
21.0
  55
Cornea et al., 2016 [73]
Timis County
Aug 16, 2016
3
McDonald criteria
486,420
45
9.3
69.1
Serbia
  56
Pekmezovic et al., 2019 [74]
Belgrade
Dec 31, 2018
4
McDonald criteria
1,685,673
586
34.7
136.8
  57
Toncev et al., 2011 [75]
Sumadija
Dec 31, 2006
4
McDonald criteria
298,778
62
20.8
64.9
Spain
  58
Aladro et al., 2005 [76]
Las Palmas, Canary Islands
Dec 31, 2002
5
Poser criteria/McDonald criteria
82,623
12
14.5
73.8
  59
Benito-Leon et al., 1998 [77]
Mostoles
Feb 1, 1998
5
Poser criteria
195,979
9
4.6
43.4
  60
Bufill et al., 1995 [78]
Region of Osona in northern Catalonia
Dec 31, 1991
4
Poser criteria
71,985
6
8.3
58.0
  61
Candeliere-Merlicco et al., 2016 [79]
Health District III, Murcia
Dec 13, 1999
5
McDonald criteria
171,040
27
15.8
71.9
  62
Casquero et al., 2001 [80]
Menorca (Balearic Islands)
Dec 31, 1996
5
Poser criteria
67,009
9
13.4
68.6
  63
Costa Arpin et al., 2020 [81]
Santiago de Compostela
Dec 31, 2015
5
McDonald criteria
95,612
24
25.1
152
  64
Hernandez, 2002 [82]
Island of La Palma, Canary Islands
Dec 15, 1998
4
Poser criteria
81,507
11
13.5
41.7
  65
Izquierdo et al., 2015 [83]
Northern Seville
Dec 31, 2011
5
Poser criteria
163,324
24
14.7
90.2
  66
Modrego Pardo et al., 1997 [84]
Province of Teruel
Mar 1, 1996
5
Poser criteria
143,680
4
2.8
32.0
  67
Modrego and Pina, 2003 [85]
Bajo Aragon, province of Teruel, Northeastern Spain
Jan 1, 2003
5
Poser criteria
58,666
5
8.5
75.0
  68
Perez-Carmona et al., 2017 [18]a
San Vicente del Raspeig
Apr 10, 2017
3
2010 McDonald criteria- MS diagnosis, Lublin criteria (2013 revisions) – MS subtypes
56,696
NR
SPMS with progression but without activity: 3.4%; SPMS without progression or activity: 6.9%
102.3
  69
Perez-Carmona et al., 2019 [86]
San Vicente del Raspeig
Dec 31, 2018
5
McDonald criteria
1,685,673
586
34.7
136.8
  70
Pina et al., 1998 [87]
Sanitary District of Calatayud
Apr 1, 1995
5
NR
58,591
18
30.7
58.0
71
Tola et al., 1999 [88]
Valladolid
Mar 1, 1997
5
Poser criteria
92,632
6
6.5
58.3
Sweden
  72
Bostrom et al., 2009 [89]
County of Varmland in Western Sweden
Dec 31, 2002
4
Poser criteria
273,419
205
75.0
170.1
Turkey
  73
Akdemir et al., 2017 [90]
Middle Black Sea Region
Aug 2010–May 2011
4
McDonald criteria
3,666,667
74
2.0
43.2
  74
Çelik et al., 2011 [91]
Edirne City
2003
5
McDonald criteria
119,298
8
6.7
33.9
Çelik et al., 2011 [91]
2004
119,298
8
6.7
36.5
  75
Gokce et al., 2019 [92]
Sivas Province
Apr 2017–Jan 2018
7
McDonald criteria
6595
4
60.7
288
  76
Turk Boru et al., 2006 [93]
Maltepe, Istanbul
Nov 2002–May 2003
7
Poser criteria
32,531
11
33.8
101.4
  77
Turk Boru et al., 2011 [94]
Three areas of the Black Sea coast of Turkey (Kandıra, Geyve, Erbaa)
2006 and 2010
8
Poser criteria
53,364
9
16.9
50.6
  78
Turk Boru et al., 2018 [95]
Gazipasa (Mediterranean coast)
Apr–May 2012
7
McDonald 2010 criteria
13,451
1
7.4
52.0
Artvin (Black sea coast)
May–Jun 2012
16,116
1
6.2
18.6
Ordu (Black sea coast)
Nov–Dec 2012
28,800
4
13.9
55.5
  79
Turk Boru et al., 2020 [96]
Eregli
May–Oct 2018
7
McDonald criteria
32,261
5
15.5
96.1
Turk Boru et al., 2020 [96]
Devrek
21,963
2
9.1
45.5
United Kingdom
  80
Ford et al., 1998 [97]
Leeds
Apr 30, 1996
4
Poser criteria
732,061
225
30.7
97.3
  81
Ford et al., 2002 [98]
Leeds
Oct 31, 1999
5
Poser criteria
732,061
244
33.3
108.7
  82
Fox et al., 2004 [99]
Devon
Jun 1, 2001
5
Poser criteria
341,796
121
35.3
117.6
  83
Gajofatto et al., 2013 [100]
Verona
Dec 31, 2001
5
McDonald criteria
253,208
59
23.4
106.0
  84
Robertson et al., 1995 [101]
Cambridgeshire
Jul 1, 1993
5
Poser, Allison, and Millar criteria
378,959
85
22.4
118.0
  85
Simpson et al., 2015 [102]
Isle of Man
2006
5
McDonald criteria
80,058
56
69.9
153.6
2011
84,497
63
74.6
179.9
  86
Visser et al., 2012 [103]
Aberdeen, Orkney, Shetland
Sep 24, 2009
5
Poser and McDonald criteria
24,8102
237
95.5
238.0
Australia
  87
Barnett et al., 2003 [104]
Newcastle
1996
5
Diagnosed by a neurologist
133,686
13
9.7
59.1
  88
Ribbons et al., 2017 [105]
Newcastle
Aug 9, 2011
5
McDonald criteria
148,535
17
11.8
124.2
Brazil
  89
Callegaro et al., 2001 [106]
Sao Paulo
Jul 1, 1997
4
Poser criteria
9,380,000
23
0.2
15.8
  90
Calmon et al., 2016 [107]
Volta Redonda
Nov 2012
5
Poser criteria/McDonald criteria
260,180
1
0.4
15.4
91
Negreiros et al., 2015 [108]
João Pessoa, Paraíba
Jul 2013
4
Diagnosed by a neurologist
723,515
19
2.6
12.0
  92
Lana-Peixoto et al., 2012 [109]
Belo Horizonte
July 1, 2001
4
Poser criteria
2,238,526
78
3.5
18.1
  93
Ribeiro et al., 2011 [110]
Uberaba, Minas Gerais
Aug–Dec 2008
4
Poser and McDonald criteria
287,760
2
0.7
12.5
  94
Ribeiro et al., 2019 [111]
Goiânia
Dec 31, 2015
4
Poser or McDonald criteria
1,430,697
27
1.9
22.2
Canada
  95
Sloka et al., 2005 [112]
Newfoundland and Labrador
Dec 31, 2001
5
Poser criteria
521,986
94
18.0
94.4
  96
Warren and Warren, 1992 [113]
County of Barrhead, Alberta
Jan 1, 1990
5
Poser criteria
9720
9
92.6
196.0
  97
Warren and Warren, 1993 [114]
Westlock county
Jan 1, 1991
5
Poser criteria
11,510
9
78.2
200.0
aAs this is the sub-group analysis, not included in the meta-analysis
MS Multiple sclerosis, NR Not Reported, SPMS Secondary progressive multiple sclerosis

Australia

Two moderate-quality studies from Newcastle were included in this meta-analysis [104, 105]. The pooled prevalence of SPMS in Australia was 10.32 (99% CI: 5.84, 15.99)/100,000 (Fig. 2). The MS prevalence has increased by 110% between 1996 and 2011 in Newcastle. However, the SPMS prevalence has increased by only 22%. Different diagnostic criteria were used in these studies [104, 105] (Additional file 1, Fig. 1).

Brazil

Six moderate-quality studies were included in this meta-analysis [106111]. All studies reported a very low MS prevalence and proportion of SPMS patients. The pooled prevalence of SPMS was 1.68 (99% CI: 0.53, 3.31)/100,000 [106111] (Table 1 and Fig. 2).

Canada

Three moderate-quality studies were included in this meta-analysis [112114]. Only the Poser diagnostic criteria were used in all the studies. Two studies conducted in the early 90s in the counties of Westlock and Barrhead reported a very high MS and SPMS prevalence [113, 114]. Another study published in 2005 reported a low SPMS prevalence in the region of Newfoundland and Labrador [112]. The pooled prevalence of SPMS was 55.02 (99% CI: 6.37, 150.00)/100,000 (Table 1 and Fig. 2).

Europe

The pooled SPMS prevalence in European countries was 24.74 (99% CI: 19.25, 30.90)/100,000 (Fig. 2). Among the European countries, the estimated pooled prevalence of SPMS was highest in Sweden and lowest in Portugal. North European countries such as Sweden, Norway, United Kingdom (UK), and Ireland reported a higher SPMS prevalence than the rest of the European countries. The only exception was a study conducted in Croatia and Slovenia, which reported a higher prevalence equivalent to that in the North European countries in these two countries despite being South European countries (Fig. 3). Low-quality studies from Greece, Kosovo, Netherlands, and Romania were not included in this meta-analysis.

Bosnia and Herzegovina

Two moderate-quality studies were included in this meta-analysis [19, 20]. Both studies used the McDonald diagnostic criteria. The pooled prevalence of SPMS was 10.32 (99% CI: 5.84, 15.99)/100,000 (Fig. 3). Between 2003 and 2006, the MS prevalence increased by 15%, while the SPMS prevalence decreased by 2% (Table 1) [19, 20].

Bulgaria

Only one moderate-quality study was included in this meta-analysis [21]. Even though MS patients were more prevalent in the Sofia region than in the Samokov region, the prevalence of SPMS was higher in the Samokov region compared with the Sofia region (Table 1) [21]. The pooled prevalence of SPMS was 18.55 (99% CI: 9.60, 30.29)/100,000 (Fig. 3).

Croatia and Slovenia

Two MS epidemiological studies reported the proportion of SPMS patients [22, 23]. The study conducted by Perkovic et al. in Croatia did not meet the quality standards required for inclusion in this meta-analysis [22], while the study conducted by Peterlin et al. in Croatia and Slovenia was of moderate quality and was included in this meta-analysis [23]. This study reported a very high MS prevalence and a proportion of SPMS patients almost similar to that in the North European countries (Table 1 and Fig. 3).

Finland

One moderate-quality study conducted in 2018 was included in this meta-analysis [24]. The estimated SPMS prevalence was 25.81/100,000 (Table 1 and Fig. 3) [24].

France

One moderate-quality study was included in this meta-analysis [26]. This study reported an SPMS prevalence of 40.38/100,000 [26]. Another study was excluded from the meta-analysis owing to low quality [25]. In France, over a period of 19 years, the SPMS prevalence has increased by 18.4 times, while the MS prevalence has increased only by 2.7 times (Table 1 and Fig. 3).

Germany

Two MS epidemiological studies reported the proportion of SPMS patients [27, 28], one among them was of moderate quality and was included in this meta-analysis [27]. In 2006, the SPMS prevalence was 48.19/100,000 and MS prevalence was 127.2/100,000 in the urban area of Erfurt (Table 1 and Fig. 3).

Hungary

Four moderate-quality studies conducted in Csongrad County were included in this meta-analysis [3134]. The pooled prevalence of SPMS was 11.26 (99% CI: 2.19, 26.66)/100,000 (Fig. 3). The prevalence of SPMS was 4.6 times greater in Csongrad County compared with the Szeged region of Hungary [31, 32]. Over a period of 14 years, the SPMS prevalence has remained almost same in Csongrad County, while the MS prevalence has increased by 45% [32, 33]. A recent study conducted in Csongrad County in early 2019 showed a two times increase in the SPMS prevalence and a 1.2 times increase in the MS prevalence since 2013 [34] (Additional file 1, Fig. 2).

Ireland

A total of four moderate- and high-quality studies were included in this meta-analysis [3538]. The pooled prevalence of SPMS was 68.69 (99% CI: 53.44, 85.84)/100,000 (Fig. 3). The prevalence of SPMS was highest in Donegal County in the year 2007 and lowest in Wexford County in the year 2001 (Table 1). Over a period of 6 years, the SPMS prevalence has increased by 34% and 55% in the Wexford and Donegal counties, respectively. The increase in SPMS prevalence was in line with that of overall MS prevalence in Donegal County but not in Wexford County (Additional file 1, Fig. 3) [36, 38].

Italy

A total of 18 MS moderate-quality studies reported the proportion of SPMS patients and thus were included in this meta-analysis [3956]. The pooled prevalence of SPMS was 22.49 (99% CI: 14.97, 31.48)/100,000 (Fig. 3). Multiple studies conducted in the province of Ferrara, Republic of San Marino, and Catania showed an increase in the SPMS prevalence over time. Between 2001 and 2011, a gradual increase in the SPMS prevalence was observed in Catania, while the increase in MS prevalence was more pronounced [5153]. In the Republic of San Marino, between 2005 and 2014, the SPMS prevalence increased by 120%, while the MS prevalence increased by 22.5% [41, 45]. In the province of Ferrara, between 1993 and 2004, the SPMS prevalence increased by 106%, while the MS prevalence increased by 74% [43, 44]. In the same region, between 2004 and 2016, the SPMS prevalence increased only by 9.5%, while the MS prevalence increased by 63% [44, 46] (Table 1 and Additional file 1-Fig. 4).

Norway

Two of three studies were of moderate quality and were included in this meta-analysis [59, 61]. The pooled prevalence of SPMS was 49.26 (99% CI: 39.47, 60.12)/100,000 (Fig. 3).

Poland

Four of five studies were of moderate quality and were included in this meta-analysis [6264, 66]. The pooled prevalence of SPMS was 26.46 (99% CI: 22.87, 30.31)/100,000 (Fig. 3). During the 1-year period in the Swietokrzyskie Province, the MS prevalence increased by 5% and SPMS prevalence increased by 14% (Additional file 1-Fig. 5) [62, 63].

Portugal

Five moderate-quality studies were included in this meta-analysis [6771]. The pooled prevalence of SPMS was 7.88 (99% CI: 3.33, 14.16)/100,000. The SPMS prevalence increased with increase in MS prevalence (Fig. 3).

Serbia

Two moderate-quality studies were included in this meta-analysis [74, 75]. The pooled prevalence of SPMS was 27.04 (99% CI: 12.01, 47.89)/100,000 (Fig. 3 and Table 1).

Spain

A total of 14 MS epidemiological studies reported the proportion of SPMS patients [18, 7688]. Of these, 13 were of moderate and high quality and thus were included in this meta-analysis [7688]. The pooled prevalence of SPMS was 11.89 (99% CI: 7.04, 17.93)/100,000. The prevalence of SPMS varied between 2.8 and 34.7 cases per 100,000 and was the highest in San Vicente del Raspeig (Table 1 and Fig. 3).

Sweden

One moderate-quality study was included in this meta-analysis [89]. The estimated SPMS prevalence was 75.0/100,000, which was the highest among the included studies (Table 1 and Fig. 3).

Turkey

All seven studies were of moderate and high quality and were included in this meta-analysis [9096]. The pooled prevalence of SPMS was 13.00 (99% CI: 4.91, 24.68)/100,000 (Table 1 and Fig. 3).

United Kingdom

A total of seven moderate-quality studies were included in this meta-analysis [97103]. The pooled prevalence of SPMS was 47.66 (99% CI: 25.10, 77.26)/100,000 (Fig. 3). In Leeds, between 1996 and 1999, the MS prevalence increased by 12%, while the SPMS prevalence increased by 8.5% [97, 98]. In the Isle of Man, between 2006 and 2011, the SPMS prevalence increased by 7%, while the MS prevalence increased by 17% [102] (Additional file 1-Fig. 6).

Worldwide

The overall pooled prevalence of SPMS was 22.42 (99% CI: 18.30, 26.95)/100,000 with substantial heterogeneity (Fig. 4). Publication bias assessed by constructing a funnel plot showed heterogeneity or small-study effect; however, the effect was not significant (p = 0.334) (Additional file 1-Fig. 7). Brazil reported the lowest pooled prevalence, followed by Australia, Europe, and Canada (Fig. 2). Overall, the prevalence of SPMS correlated with that of MS (Pearson’s correlation coefficient: 0.89).
The SPMS prevalence varied widely among different regions within each country. In Hungary, between 1997 and 1999, the prevalence of SPMS increased by 4.6 times in the entire Csongrad County compared with that in the Szeged region of Csongrad County [31, 32]. Multiple studies conducted in the same regions over time have shown an increase in the prevalence of SPMS. The only exception was the study conducted in Bosnia and Herzegovina, which showed a slight reduction of 2% in the SPMS prevalence between 2003 and 2006 [19, 20]. The extent of increase in the SPMS prevalence varied based on the diagnostic criteria used. Studies using the same diagnostic criteria reported a moderate increase in the SPMS prevalence ranging between 7% and 20.5% [5153, 62, 63, 97, 98, 102]. The only exceptions were two Italian studies conducted in the province of Ferrara between 1993 and 2004 that used the Poser diagnostic criteria, which showed a very high increase of 106% in the prevalence of SPMS [43, 44].
The overall prevalence of SPMS statistically correlated with the prevalence of MS. However, this correlation hypothesis was not consistent when focusing on the extent of correlation. Only in Donegal County, Ireland, the SPMS prevalence increased proportionately with that of MS [36, 38]. The proportion of increase in the SPMS prevalence was lower than that of MS prevalence in Newcastle, Australia [104, 105]; Csongrad County, Hungary [32, 33]; Catania, Italy [5153]; Ferrara, Italy [44, 46]; Swietokrzyskie Province, Poland [62, 63]; and Isle of Man, UK [102]. The proportion of increase in the SPMS prevalence was higher than that of MS prevalence in the Republic of San Marino, Italy [41, 45]; Ferrara, Italy [43, 44]; and Leeds, UK [97, 98].
Access to oral disease-modifying therapies (DMTs) may have contributed to a decline in the SPMS prevalence. The estimated SPMS pooled prevalence in studies conducted before access to DMTs was 24.54 (CI: 17.50, 32.74)/100,000 in studies conducted between 1996 and 2010. The SPMS pooled prevalence in studies conducted after access to oral DMTs since 2011 was 18.24/100,000 (CI: 11.27, 26.82). Most studies used the Poser or McDonald diagnostic criteria (75 studies). The pooled SPMS prevalence in studies that used the Poser (22.55 [99% CI: 14.88, 31.76]/100,000) and McDonald (24.96 [99% CI: 16.38, 35.28]/100,000) diagnostic criteria was comparable.
Using various statistical tests mentioned earlier, a Brazilian study by Callegaro et al. 2001 [106], an Irish study by Lonergan et al. 2011 [38], and a UK study by Visser et al. 2012 [103] were identified as the most influential studies (Additional file 1-Table 2, Additional file 1-Figs. 8–9). The prevalence of SPMS after removing these three influential studies was 21.17 (99% CI: 17.90, 25.90)/100,000 compared with the previous result of 22.42 (99% CI: 18.30, 26.95)/100,000.
The subgroup analysis showed that the moderators such as world region (European vs. non-European countries) (Additional file 1-Fig. 10), introduction of oral DMTs (before 2010 vs. after 2010) (Additional file 1-Fig. 11), and sample size (≤100 vs. ≥100 and ≥ 1000) (Additional file 1-Fig. 12) were significantly (all p < 0.000001) associated with the overall pooled prevalence of SPMS. World region contributed to 10.95%, introduction of oral DMTs contributed to 0.81%, and sample size contributed to 22.13% of the total between-study variance. The moderator diagnostic criteria (McDonald or Poser criteria vs. others) (Additional file 1-Fig. 13) did not significantly influence the overall pooled prevalence of SPMS (p = 0.278) and contributed to only 0.21% of the total between-study variance.

Discussion

Several MS epidemiological studies have been published across geographies. However, the same research interest has not been observed for the MS subtypes. A total of 92 countries accounting for 79% of the world population provided MS data for the Atlas of MS 2013 updates. On the contrary, studies from only 20 countries accounting for less than 10% of the world population contributed to the current SPMS prevalence systematic review [5]. This systematic literature review is an attempt to understand the epidemiology of SPMS in Australia, Brazil, Canada, European countries, and the USA. Our study was designed to reduce the uncertainty of outputs using a robust systematic methodology and the Loney quality grading of publications.
Most studies included in this review were of moderate quality, with publication bias per the Loney et al. checklist. However, statistically, no publication bias was observed. It is interesting to note that none of the MS epidemiological studies reported the prevalence of SPMS despite the large number of studies published. Hence, we have estimated the prevalence of SPMS based on the proportion of SPMS patients reported in the MS epidemiological studies. None of the MS epidemiological studies conducted in the USA reported the proportion of SPMS patients. Most studies were conducted in European countries, especially Italy and Spain.
In line with the prevalence of MS reported in the previous studies, the estimated SPMS prevalence varied widely across geographies and was the highest in Sweden (75/100,000) and lowest in Brazil (1.35/100,000) [5, 38, 106, 115, 116]. These results are similar to the findings of MS Atlas 2013, which reported that the highest prevalence of MS in Europe was in Sweden (189/100,000) [5]. Factors considered as possible modifiers of prevalence are differences in actual prevalence by population demographics, in latitude or longitude, in healthcare resourcing such as number of neurologists per 100,000 population, in definitions of SPMS or reimbursement, and in audit of DMTs across countries leading to different levels of diagnostic moral hazard for SPMS.
Our systematic review did not find any demographical data on SPMS, possibly due to lack of focus on the SPMS population in MS research. However, population density had no influence on the SPMS prevalence pattern across countries [117]. Only one study reported the proportion of SPMS patients without disease progression two times that of SPMS patients with disease progression [18]. However, these data need further investigation.
Geographical region, such as European countries and non-European countries, significantly (p < 0.000001) influenced the overall pooled prevalence of SPMS. One of the reasons for this influence was latitude; epidemiological studies have established variations in MS prevalence with latitude, and similar patterns were also observed in SPMS populations across continents [5]. The analysis from this review found that Brazil reported a seven times lower pooled prevalence of SPMS than Australia, a 19 times lower pooled prevalence of SPMS than Europe, and a 42 times lower pooled prevalence of SPMS than Canada. Within Europe, latitudinal influence was observed among northern countries like Sweden, Norway, UK, and Ireland and the remaining European countries. The only exceptions were Croatia and Slovenia, which reported a higher prevalence despite being South European countries. However, because only one study was conducted together in Croatia and Slovenia, this finding needs further investigation. Similarly, longitudinal influence on the prevalence among the West European countries was also observed. Portugal being the extreme West European country had the lowest SPMS prevalence among the European countries. The prevalence increased by 70.4% than that of Spain in France and by 126.3% than that of France in Germany. However, these observations are inconclusive, as they cannot be generalised across other European countries; some results directly conflict with any interpretation of the results based on latitude or longitude.
The overall SPMS prevalence has increased since the 1990s till the introduction of oral DMTs in the year 2010. This may be due to the possibility of the real SPMS prevalence being more than the reported prevalence, as no separate treatment interventions for SPMS patients were available until recently. The introduction of oral DMTs significantly influenced the overall pooled prevalence of SPMS (p < 0.000001). The prevalence of SPMS statistically correlated with that of MS. However, the extent of increase in the SPMS prevalence did not correlate with that of MS.
In the current review, the availability of medical resources, especially neurosurgeons and neurologists per 100,000 population, had no apparent effect on the differences in the SPMS prevalence across countries [118]. However, between different regions of some countries, medical resources may have a direct influence. In Germany, the prevalence of SPMS in the urban area of Erfurt in 2006 was 3.7 times higher than that in Bavaria in 2009 [27, 28]. In contrast, in the Republic of Ireland, high-income counties with better healthcare facilities such as Dublin and Wexford had a lower prevalence of SPMS compared with Donegal, which is a county with the lowest regional per capita [36, 38, 119].
MS research has evolved significantly since 2000 with the introduction of different diagnostic criteria and DMTs. However, these evolutions did not reflect in the prevalence pattern in this study. The use of well-accepted diagnostic criteria, such as the McDonald or Poser criteria, did not influence the overall pooled prevalence of SPMS statistically. Even the quality of the studies did not seem to have an impact on prevalence. Finally, a sample size of below 100 compared with above 100 and below 1000 also significantly influenced the overall pooled prevalence of SPMS (p < 0.000001).
Our literature search was limited to English-language publications; however, we manually screened the bibliography of the included publications and found no additional references from other languages. Hence, we believe that the possibility of missing prevalence data is low. Despite including higher-quality studies, the possibility of publication bias cannot be ruled out considering the variability in the quality of the studies included. In summary, this study provides information on the epidemiology of SPMS. To the best of our knowledge, no studies specifically report the epidemiology of SPMS. Our review found high variability in the estimated SPMS prevalence and the quality of the studies conducted with no obvious explanation for variability based on what is known of the SPMS disease physiology. Quality grading of SPMS prevalence studies does not appear to reduce the uncertainty associated with the results. These variations may therefore be due to the differences across healthcare systems in the reporting of SPMS and audit of treatments. It may be important to consider this context in the design of future epidemiological studies of SPMS. Focus on MS subtypes such as SPMS is warranted in high-quality MS epidemiological studies like the MS Atlas project and the Global Burden of Disease project for a better understanding of the prevalence of SPMS.

Conclusions

The estimated prevalence of SPMS and the quality of the studies varied widely. Common confounding factors like latitude that are known to affect MS prevalence did not fully explain the wide range of inter-country and intra-country variability identified in the results.

Acknowledgements

Authors would like to thank Subhashini Subramanian (Novartis Healthcare Pvt. Ltd., Hyderabad) for helping in executing R-code.

Declarations

The study did not involve human participants; hence, the need for approval is not applicable.
Not applicable.

Competing interests

Authors have no competing interests.
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Metadaten
Titel
Systematic literature review and meta-analysis of the prevalence of secondary progressive multiple sclerosis in the USA, Europe, Canada, Australia, and Brazil
verfasst von
Vijayalakshmi Vasanthaprasad
Vivek Khurana
Sreelatha Vadapalle
Jackie Palace
Nicholas Adlard
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Neurology / Ausgabe 1/2022
Elektronische ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-022-02820-0

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Mit einem Neurotrophin-Rezeptor-Modulator lässt sich möglicherweise eine bestehende Alzheimerdemenz etwas abschwächen: Erste Phase-2-Daten deuten auf einen verbesserten Synapsenschutz.

Hörschwäche erhöht Demenzrisiko unabhängig von Beta-Amyloid

29.05.2024 Hörstörungen Nachrichten

Hört jemand im Alter schlecht, nimmt das Hirn- und Hippocampusvolumen besonders schnell ab, was auch mit einem beschleunigten kognitiven Abbau einhergeht. Und diese Prozesse scheinen sich unabhängig von der Amyloidablagerung zu ereignen.