Evidence map›Paper›PMID 41133267›Full record

ArticleBMJ neurology open2025

Organisational impact and patient management models for biomarker integration in multiple sclerosis care in Italy: the 0Tolerance project.

Paolo Ragonese, Maria Chiara Buscarinu, Maria Cellerino, Elena Colombo, Jessica Frau, Maura Frigo, Marco Puthenparampil, Eleonora Rigoni, Valeria Zancan, Luca Pinto and 2 more

Abstract read
In one paragraph

Article in BMJ neurology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Paolo RagoneseDepartment of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0003-2516-1567
Maria Chiara BuscarinuDepartment of Neuroscience, Mental Health and Sensory Organs, University of Rome, La Sapienza Faculty of Pharmacy and Medicine, Rome, Italy.
Maria CellerinoDepartment of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Elena ColomboFoundation National Neurological Institute Casimiro Mondino, Pavia, Italy.
Jessica FrauOspedale Roberto Binaghi, Cagliari, Italy.
Maura FrigoSan Gerardo Hospital, Monza, Italy.
Marco PuthenparampilDepartment of Neurosciences DNS, Multiple Sclerosis Centre, University Hospital-Medical School, Padova, Italy.ORCID https://orcid.org/0000-0002-2313-8462
Eleonora RigoniFoundation National Neurological Institute Casimiro Mondino, Pavia, Italy.
Valeria ZancanDepartment of Neuroscience, Mental Health and Sensory Organs, University of Rome, La Sapienza Faculty of Pharmacy and Medicine, Rome, Italy.ORCID https://orcid.org/0009-0004-3948-2534
Luca PintoIQVIA Italy, Milan, Lombardy, Italy.
Simone ParrettiIQVIA Italy, Milan, Lombardy, Italy.
Letizia GazzanigaIQVIA Italy, Milan, Lombardy, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite advances in multiple sclerosis (MS) management, the need for more accurate biomarkers remains critical. Conventional MRI, while essential for diagnosis, prognosis and disease monitoring, has limitations in capturing the full complexity of disease progression. This paper aims to identify biomarkers likely to be available in clinical practice by 2028, define a prospective organisational follow-up model for patients with MS, explore organisational requirements and propose solutions to facilitate their implementation. These insights aim to inform and anticipate future discussions among policymakers regarding the adoption of prospective biomarkers into clinical practice. Methods: A multimethod qualitative design was employed, including a systematic literature review of 82 studies, two modified Delphi consensus processes and semistructured interviews with nine neurologists and three healthcare programming experts, applying the Structural, Technological, Organisational and Professional (STOP) framework. The STOP framework was used to assess structural, technological, organisational and professional requirements and to explore solutions. Results: The research identified a prospective organisational follow-up model that integrates the most probable prospective biomarkers into clinical practice. The prospective organisational follow-up model defined an optimal testing frequency of Serum Neurofilament Light Chain and Glial Fibrillar Acidic Protein every 6 months, as well as Cognitive Tests and Optical Coherence Tomography every 12 months. Combining biomarkers and aligning them with MRI was seen as beneficial. Despite the validation of the model through a modified Delphi consensus process based on organisational feasibility and economic sustainability, structural and organisational challenges need to be addressed to ensure smoother integration into clinical practice. Conclusions: This article aims to define an organisational model for the integration of prospective biomarkers into clinical follow-up in MS. It also explores potential strategies to facilitate their transition from research settings to routine clinical practice. The proposed approach provides a framework with potential for replication across various care pathways.

Indexed as

CLINICAL NEUROLOGYHEALTH POLICY & PRACTICEMULTIPLE SCLEROSIS

Identifiers

PMID41133267
PMCPMC12542540

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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.