RCN in SPMS
Research Collaboration Network in SPMS
The Research Collaboration Network (RCN) in SPMS was founded in 2019 to promote international research projects in the field of secondary progressive MS (SPMS). This network analyzes transnational data from MS patients in order to make more specific statements on the prevalence and therapy of SPMS patients in contrast to RRMS patients and thus promote relevant developments in patient care and therapy design in the future.
The RCN currently consists of nine European and one international MS registry. In addition to the German MS registry, these include the Danish, Swedish and Finnish MS registries. The British, French, Italian and Czech MS registries as well as the international MS registry MSBase also participate in the RCN.
The Karolinska Institute in Stockholm is responsible for coordinating the individual projects.
Studies to date

Prevalence and Disease characteristics of SPMS
As part of the first study within the Research Collaboration Network in SPMS, three different algorithms/methods for classifying MS patients into either RRMS or SPMS were examined and validated in comparison to clinical classification by a neurologist. The aim is to establish a standardized definition of what characteristics constitute SPMS. For this study, data from MS registries in the Czech Republic (11,336 patients), Denmark (10,255 patients), Germany (23,185 patients), Sweden (11,247 patients) and the UK (5,086 patients) were used.
MS patients with RRMS or SPMS who were 18 years or older at the last EDSS determination within the study period (January 1, 2017 to January 1, 2019) were included.
Three algorithms for classifying patients with a focus on the EDSS were examined:
- The “Modified real world EXPAND criteria” based on the EXPAND clinical trial.
- The "Data-derived definition" of Melbourne University without the "pyramidal Functional Score"
Lorscheider J, Buzzard K, Jokubaitis V et al. Defining secondary progressive multiple sclerosis. Brain : a journal of neurology 2016; 139: 2395-405 - The "Decision tree classifier" of the Karolinska Institute (Stockholm)
Ramanujam R, Zhu F, Fink K et al. Accurate classification of secondary progression in multiple sclerosis using a decision tree. Multiple sclerosis (Houndmills, Basingstoke, England) 2020
The algorithms were compared with the clinical classification in terms of sensitivity and specificity.
Algorithms no. 2 and 3 had high sensitivity and specificity, while algorithm no. 1 had high specificity but low sensitivity. No. 3 was the only method that was able to classify all patients.
These results suggest that algorithms can be used in different MS registries for objective classification. The choice of the appropriate algorithm depends on the research question and data availability.
Patient Characteristics and Treatment Patterns
In the second study, RRMS patients from five European MS registries that had already participated in the first study were re-examined using the previously defined characteristics.
This study compared characteristics of MS patients from five MS registries who had been clinically classified as having RRMS and who could potentially be classified as having SPMS using the algorithm-based classification methods (from study 1).
Data from MS registers in Denmark (10,255 patients), Germany (23,185 patients), the UK (5,086 patients), Sweden (11,247 patients) and the Czech Republic (11,336 patients) were used. Patients were included if they had been diagnosed with RRMS or SPMS and were at least 18 years old at the start of the study. In addition to the clinical classification of SPMS, the data-based classification method, the Decision tree classifier of the Karolinska Institute, was applied based on age and (last) EDSS.
As a result of the study, it was found that clinical RRMS patients could be reclassified as SPMS in all MS registries. Using the decision tree classifier, a total of 8,372 RRMS patients were reclassified as SPMS in the five registries, increasing the overall proportion of SPMS patients from 17% to 31%. The overall proportion of clinically identified SPMS patients receiving disease-modifying therapy (DMT) was 36%, but varied widely between registries. The overall proportion of reclassified SPMS patients receiving DMT was significantly higher at 69%.
The study concludes that SPMS patients receiving a DMT are often clinically misclassified as RRMS patients. This raises the question of whether the time from MS onset to transition to the secondary progressive form of MS should be used as a measure of the efficacy of DMTs and argues for the use of objective classification methods when analyzing MS patient populations.
A real-world evaluation of multifaceted aspects of progressive MS
The third study examined adult MS patients from nine different MS registries who were in their secondary progressive phase of MS. In addition to demographic and clinical characteristics, disability progression was also considered and assessed in relation to prescribed disease-modifying therapies.
The study looked at data from MS patients over a two-year period (January 1, 2015 to January 1, 2017) who were classified as having SPMS up to January 1, 2015. These patients were divided into two groups and their data compared:
- MS patients who received disease-modifying therapies at least 80% of the time during the two-year period and at the end of the two years,
- MS patients who received no disease-modifying therapies less than 20% of the time during the two-year period and at the end of the two years.
In addition, in a subsequent one-year period (from January 1, 2017 to January 1, 2021), EDSS scores were used to examine how the course of disability developed.
The registries differed greatly in the number of patients who met the inclusion criteria of the study (Denmark = 534; Sweden = 1293; Czech Republic = 718; United Kingdom = 15; Germany = 279; Italy = 2337; Finland = 104; France = 3236; MSBase - International = 1722).
The results show that untreated SPMS patients were older at the end of the first study period (January 1, 2017) and at the time of SPMS diagnosis and had experienced a longer period of illness. At the same time, the results showed that untreated SPMS patients had a higher EDSS on average at the end of the first study period, but fewer relapses. The average increase in EDSS in the group of untreated SPMS patients differed in the various data sources.
The data generally indicate that there is a positive effect of disease-modifying therapies in slowing disease development at an earlier stage of the progressive phase. However, it also shows that in older patients, continued treatment with disease-modifying therapies does not necessarily have the same slowing effect on the progression of EDSS.
The impact of healthcare systems on the clinical diagnosis and disease-modifying treatment usage in relapse-onset multiple sclerosis: a real-world perspective in five registries across Europe
Nicholas R, Rodgers J et al and on behalf of the SPMS Research Collaboration Network, 2023: Therapeutic Advances in Neurological Disorders, first published online: September 26, 2023; doi: 10.1177/17562864231198963
Proportion and characteristics of secondary progressive multiple sclerosis in five European registries using objective classifiers
Forsberg L, Spelman T et al and on behalf of the SPMS Research Collaboration Network 2023: Multiple Sclerosis Journal – Experimental, Translational and Clinical, Volume 9, Issue 1; published online: February 16, 2023; doi: 10.1177/20552173231153557
Influence of disease modifying therapies on expanded disability status scale scores trajectories in treated and not-treated patients with secondary Progressive multiple sclerosis - analysis from nine registries (Abstract)
L. Pontieri et al, 2022: Vortrag auf der ECTRIMS 2022, Amsterdam
Treatment escalation in secondary progressive MS identified clinically and algorithmically in relapsing remitting (RR)MS
Veröffentlicht: Mai 2021, ABN 2021; Type: Adobe/PDF
Abstract Nicolas R, et al, 2021: BMJ Journals, Volume 93, Issue 6
Objective classification of multiple sclerosis disease course results in frequent reclassification to secondary progressive multiple sclerosis
Veröffentlicht: April 2021, AAN 2021; Type: Adobe/PDF
Abstract Hillert J, et al, 2021: Neurology, April 13, 2021; 96 (15 Supplement) (4094)
Validation of three Secondary Progressive Multiple Sclerosis classification methods in five registries within the SPMS Research Collaboration Network (Abstract), deutsche Layperson-Version
L. Forsberg, D. Ellenberger, A. Stahmann, et al, 2020: Vortrag auf dem Virtual Joint ACTRIMS-ECTRIMS meeting 2020 (MS Virtual 2020), PS05 - Pharmacological management of progressive MS, deutsche Layperson-Version veröffentlicht im Dezember 2020 in der aktiv! Nr. 269 Seite 32 f., Type: Adobe/PDF
Ongoing disease modifying treatment associated with mis-classification of secondary progressive as relapsing-remitting multiple sclerosis (Abstract),
deutsche Layperson-Version
J. Hillert, D. Ellenberger, A. Stahmann, et al, 2020: Vortrag auf dem Virtual Joint ACTRIMS-ECTRIMS meeting 2020 (MS Virtual 2020), PS05 - Pharmacological management of progressive MS, deutsche Layperson-Version veröffentlicht im Dezember 2020 in der aktiv! Nr. 269 Seite 32 f., Type: Adobe/PDF
Objective classification methods result in an increased proportion of secondary progressive multiple sclerosis in five patient registries
Glaser A, Stahmann A, et al. Veröffentlicht: September 2020, Virtual Joint ACTRIMS-ECTRIMS Meeting (MS Virtual 2020), Type: PDF
Comparison of the proportions of Secondary Progressive Multiple Sclerosis between three registries within the SPMS Research Collaboration Network
Als Posterbeitrag für die AAN 2020 vorgesehen, Kongress wurde aufgrund der Corona-Pandemie abgesagt.
Abstract L Forsberg, et al, 2020: Neurology, April 14, 2020; 94 (15 Supplement) (3977)
Opportunities and challenges for conducting research on secondary progressive multiple sclerosis across international multiple sclerosis registries through a research network collaboration
Veröffentlicht: September 2019, ECTRIMS 2019; Type: PDF