Evidence map›Paper›PMID 31832974›Full record

ArticleNeurology and therapy2020

Real-World Treatment of Patients with Multiple Sclerosis per MS Subtype and Associated Healthcare Resource Use: An Analysis Based on 13,333 Patients in Germany.

Sabrina Müller, Tobias Heidler, Andreas Fuchs, Andreas Pfaff, Kathrin Ernst, Gunter Ladinek, Thomas Wilke

Open access · goldAbstract read
In one paragraph

Article in Neurology and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Complex intervention for MS patients in Germany - can it be cost-saving for the society?The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Subgroup analyses and patterns of multiple sclerosis health service utilisation: A cluster analysis.Multiple sclerosis journal - experimental, translational and clinical
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Sabrina MüllerInstitute for Pharmacoeconomics and Medication Logistics (IPAM), University of Wismar, Alter Holzhafen 19, 23966, Wismar, Germany. sabrina.mueller@ipam-wismar.de.
Tobias HeidlerGWQ PLUS, Tersteegenstrasse 28, 40474, Düsseldorf, Germany.
Andreas FuchsAOK PLUS, Rosa-Luxemburg-Straße 30, 04103, Leipzig, Germany.
Andreas PfaffAOK Baden-Württemberg, Presselstraße 19, 70191, Stuttgart, Germany.
Kathrin ErnstAOK Baden-Württemberg, Presselstraße 19, 70191, Stuttgart, Germany.
Gunter LadinekRoche Pharma AG, Emil-Barell-Str.1, 79639, Grenzach-Wyhlen, Germany.
Thomas WilkeInstitute for Pharmacoeconomics and Medication Logistics (IPAM), University of Wismar, Alter Holzhafen 19, 23966, Wismar, Germany.
AOK · DEWismar University of Applied Sciences · DERoche Pharma AG (Germany) · DERosa Luxemburg Foundation · DE

Funding

Roche Pharma AG NA
6 · The paper itself

Abstract

introductionThe aim of this study was to describe the real-word treatment and associated healthcare resource use (HCRU) of multiple sclerosis (MS) patients, as stratified by different MS subtypes.

methodsAll patients with MS continuously insured by two German statutory healthcare insurance funds from 2011 to 2015 were enrolled. These patients were categorized into four subgroups according to their MS type as follows: clinically isolated syndrome (CIS); relapsing remittent MS (RRMS); primary progressive MS (PPMS); and secondary progressive MS (SPMS). Sociodemographic characteristics, treatments, and HCRU for 2015 were analyzed. Treatment cascades for treatment-naïve patients were also determined.

resultsA total of 13,333 patients with MS were identified. The largest proportion of patients had RRMS (41.9%), followed by PPMS (17.1%). Mean age of the enrolled patients was 50.2 years, and 70.7% were female. Among all patients, 38.3% of those with CIS, 22.4% with PPMS, 69.6% with RRMS, and 33.9% with SPMS received a prescription of a disease-modifying immunomodulatory agent, with interferon beta-1a being the most frequently prescribed agent. Likewise, 14.5, 18.5, 19.9, and 21.5% of patients with CIS, PPMS, RRMS, and SPMS, respectively, received a flare-up treatment with glucocorticoids. MS-associated overall costs, including indirect costs for MS-associated days absent from work, were € 16,433, with costs related to MS medication (€ 8770; 53.4%) being the main driver of costs in all subgroups. MS-associated costs according to MS subtypes were € 12,427 for CIS patients, € 14,459 for PPMS patients, € 20,583 for RRMS patients, and € 17,554 for SPMS patients.

conclusionAmong the four MS subtypes, RRMS patients most often received a disease-modifying immunomodulatory treatment. Consequently, healthcare costs were highest for patients with this MS subtype. Contrary to the treatment guideline, a substantial percentage of patients with CIS, RRMS, and SPMS did not receive any disease-modifying immunomodulatory treatment.

Indexed as

Claims dataCostsGermanyHCRUMultiple sclerosisReal-world treatment

Identifiers

PMID31832974
PMCPMC7229080
OpenAlexW2996683279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.