Evidence map›Paper›PMID 37771841›Full record

ArticleTherapeutic advances in neurological disorders2023

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.

Richard Nicholas, Jeff Rodgers, James Witts, Annalaura Lerede, Tim Friede, Jan Hillert, Lars Forsberg, Anna Glaser, Ali Manouchehrinia, Ryan Ramanujam and 14 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in neurological disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

24 authors at 9 institutions in 7 countries.

Richard NicholasSwansea University Medical School, Swansea, UK.
Jeff RodgersFaculty of Medicine Health and Life Science, Swansea University Medical School, Swansea, UK.
James WittsFaculty of Medicine Health and Life Science, Swansea University Medical School, Swansea, UK.
Annalaura LeredeDepartment of Cellular and Molecular Neuroscience, Imperial College London, London, UK.
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-5347-7441
Jan HillertDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Lars ForsbergDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Anna GlaserDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Ali ManouchehriniaDepartment of Clinical Neurosciences, Centre for Molecular Medicine (CMM), Karolinska Institute, Stockholm, Sweden.
Ryan RamanujamDepartment of Clinical Neurosciences, Centre for Molecular Medicine (CMM), Karolinska Institute, Stockholm, Sweden.
Tim SpelmanDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden, MS-Register.
Pernilla KlyveDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Jiri DrahotaCzech National Multiple Sclerosis Patient Registry ReMuS, IMPULS Endowment Fund, Kateřinská, CZ, Prague.
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital, Prague, Czech Republic.
Hanna JoensenDanish Multiple Sclerosis Registry, Department of Neurology, University Hospital Copenhagen, Rigshospitalet, Denmark.
Luigi PontieriDanish Multiple Sclerosis Registry, Department of Neurology, University Hospital Copenhagen, Rigshospitalet, Denmark.
Melinda MagyariDanish Multiple Sclerosis Registry, Department of Neurology, University Hospital Copenhagen, Rigshospitalet, Denmark.
David EllenbergerGerman MS Registry, MS Forschungs- und Projektentwicklungs-gGmbH, Hannover, Germany.
Alexander StahmannGerman MS Registry, MS Forschungs- und Projektentwicklungs-gGmbH, Hannover, Germany.
Helmut ButzkuevenDepartment of Neuroscience, Central Clinical School, Monash University, Australia.ORCID https://orcid.org/0000-0003-3940-8727
Anneke Van Der WaltDepartment of Neuroscience, Central Clinical School, Monash University, Australia.ORCID https://orcid.org/0000-0002-4278-7003
Vladimir BezlyakNovartis Pharma AG, Basel, Switzerland.
Carol LinesNovartis Pharma AG, Basel, Switzerland.
Rod MiddletonFaculty of Medicine Health and Life Science, Swansea University Medical School, Singleton Campus, Swansea SA2 8PP, UK.ORCID https://orcid.org/0000-0002-2130-4420
Karolinska Institutet · SESwansea University · GBRigshospitalet · DKCharles University · CZGerman National Bone Marrow Donor Registry · DEMonash University · AUNovartis (Switzerland) · CHImperial College London · GBUniversitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prescribing guidance for disease-modifying treatment (DMT) in multiple sclerosis (MS) is centred on a clinical diagnosis of relapsing-remitting MS (RRMS). DMT prescription guidelines and monitoring vary across countries. Standardising the approach to diagnosis of disease course, for example, assigning RRMS or secondary progressive MS (SPMS) diagnoses, allows examination of the impact of health system characteristics on the stated clinical diagnosis and treatment access. Methods: We analysed registry data from six cohorts in five countries (Czech Republic, Denmark, Germany, Sweden and United Kingdom) on patients with an initial diagnosis of RRMS. We standardised our approach utilising a pre-existing algorithm (DecisionTree, DT) to determine patient diagnoses of RRMS or secondary progressive MS (SPMS). We identified five global drivers of DMT prescribing: Provision, Availability, Funding, Monitoring and Audit, data were analysed against these concepts using meta-analysis and univariate meta-regression. Results: In 64,235 patients, we found variations in DMT use between countries, with higher usage in RRMS and lower usage in SPMS, with correspondingly lower usage in the UK compared to other registers. Factors such as female gender ( Discussion: This highlights the importance of a healthcare system's approach to verifying the clinical label of MS course in facilitating appropriate prescribing, with some flexibility allowed in uncertain cases to ensure continued access to treatment.

Indexed as

big dataclinical auditdecision treedisease registersinternational collaborationmultiple sclerosis

Identifiers

PMID37771841
PMCPMC10524069
OpenAlexW4387067153

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.