Evidence map›Paper›PMID 34596743›Full record

ArticleJournal of neurology2022

Treatment response scoring systems to assess long-term prognosis in self-injectable DMTs relapsing-remitting multiple sclerosis patients.

Jordi Río, Àlex Rovira, Claudio Gasperini, Mar Tintoré, Luca Prosperini, Susana Otero-Romero, Manuel Comabella, Ángela Vidal-Jordana, Ingrid Galán, Luciana Midaglia and 10 more

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Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Jordi RíoCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain. jrio@cem-cat.org.ORCID http://orcid.org/0000-0003-4546-7627
Àlex RoviraSección de Neuroradiología, Servicio de Radiologia, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Claudio GasperiniDepartment of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
Mar TintoréCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Luca ProsperiniDepartment of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
Susana Otero-RomeroCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Manuel ComabellaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Ángela Vidal-JordanaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Ingrid GalánCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Luciana MidagliaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Breogán Rodriguez-AcevedoCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Ana ZabalzaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Joaquim CastillóCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Georgina ArrambideCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Carlos NosCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Álvaro CoboCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Carmen TurCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Cristina AugerSección de Neuroradiología, Servicio de Radiologia, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Jaume Sastre-GarrigaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Xavier MontalbanCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servicio de Neurologia/Neuroimmunolgia, Hospital Universitari Vall d'Hebron, Passeig Vall d'Hebron 119-129, 08035, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDifferent treatment response scoring systems in treated MS patients exist. The objective was to assess the long-term predictive value of these systems in RRMS patients treated with self-injectable DMTs.

methodsRRMS-treated patients underwent brain MRI before the onset of therapy and 12 months thereafter, and neurological assessments every 6 months. Clinical and demographic characteristics were collected at baseline. After the first year of treatment, several scoring systems [Rio score (RS), modified Rio score (MRS), MAGNIMS score (MS), and ROAD score (RoS)] were calculated. Cox-Regression and survival analyses were performed to identify scores predicting long-term disability.

resultsWe included 319 RRMS patients. Survival analyses showed that patients with RS > 1 and RoS > 3 had a significant risk of reaching an EDSS of 4.0 and 6.0 The score with the best sensitivity (61%) was the RoS, while the MRS showed the best specificity (88%). The RS showed the best positive predictive value (42%) and the best accuracy (81%).

conclusionsThe combined measures integrated into different scores have an acceptable prognostic value for identifying patients with long-term disability. Thus, these data reinforce the concept of early treatment optimization to minimize the risk of long-term disability.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingHumansMagnetic Resonance ImagingPredictive Value of TestsPrognosisMultiple sclerosisScoresTreatment response

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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.