Evidence map›Paper›PMID 40303889›Full record

ArticleFrontiers in neurology2025

Disparities in patient share and characteristics between disease-modifying therapy-treated and -untreated people with multiple sclerosis in Germany: a claims data analysis from 2017 to 2022.

Ann-Sophie Stratil, Steffeni Papukchieva, Nils-Henning Neß, Inge Wolf, Antonios Bayas, Peter Flachenecker, Benjamin Friedrich

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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.

Ann-Sophie StratilTemedica GmbH, Munich, Germany.
Steffeni PapukchievaTemedica GmbH, Munich, Germany.
Nils-Henning NeßHexal AG, Holzkirchen, Germany.
Inge WolfHexal AG, Holzkirchen, Germany.
Antonios BayasDepartment of Neurology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Peter Flachenecker *Neurological Rehabilitation Center Quellenhof, Bad Wildbad, Germany.
Benjamin Friedrich *Temedica GmbH, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite significant advances in multiple sclerosis (MS) treatment, a substantial proportion of people with MS (pwMS) remains untreated with disease-modifying therapies (DMTs). This study aimed to assess the proportion of DMT-untreated pwMS according to clinical and sociodemographic characteristics, the differences in healthcare utilization patterns, including MRI frequency and physiotherapy use, between DMT-treated and DMT-untreated pwMS, as well as to examine the time to first prescription among newly diagnosed pwMS in Germany from 2017 to 2022. Methods: Longitudinal routine data from 4.5 million individuals insured by German statutory health insurance were analyzed. PwMS were identified by ICD-10-GM code G35 in at least two quarters within a calendar year. PwMS who filled a DMT prescription during the observation period were classified as DMT-treated. Newly diagnosed pwMS had no recorded G35 code and DMT prescription in the 2 years prior to initial MS coding. MRI scans and physiotherapy sessions were identified using OPS codes and the German Results: In total, 45.6% of pwMS were DMT-untreated. DMT-untreated rates were higher in secondary progressive (SPMS) and primary progressive MS (PPMS) than relapsing-remitting MS (RRMS; Conclusion: These real-world data offer valuable insights into patient care and treatment allocation.

Indexed as

disease modifying therapy-untreatedhealthcare utilizationmultiple sclerosisreal-world dataregionality

Identifiers

PMID40303889
PMCPMC12037395

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Registered trials

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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.