Evidence map›Paper›PMID 33487091›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2021

A multiple sclerosis disease progression measure based on cumulative disability.

Ali Manouchehrinia, Elaine Kingwell, Feng Zhu, Helen Tremlett, Jan Hillert, Ryan Ramanujam

Abstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. EBNA1Neurology(R) neuroimmunology & neuroinflammation · 2026
    Article
  2. 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

6 authors.

Ali ManouchehriniaDepartment of Clinical Neuroscience, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden.ORCID 0000-0003-4857-5762
Elaine KingwellFaculty of Medicine (Neurology), UBC Hospital, and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
Feng ZhuFaculty of Medicine (Neurology), UBC Hospital, and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
Helen TremlettFaculty of Medicine (Neurology), UBC Hospital, and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-5804-2535
Jan HillertDepartment of Clinical Neuroscience, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden.
Ryan RamanujamDepartment of Clinical Neuroscience, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden/Department of Mathematics, The Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0001-7360-1497

Funding

CIHR MOP-93646
6 · The paper itself

Abstract

backgroundExisting severity measurements in multiple sclerosis (MS) are often cross-sectional, making longitudinal comparisons of disease course between individuals difficult.

objectiveThe objective of this study is to create a severity metric that can reliably summarize a patient's disease course.

methodsWe developed the nARMSS - normalized ARMSS (age-related MS severity score) over follow-up, using the deviation of individual ARMSS scores from the expected value and integrated over the corresponding time period. The nARMSS scales from -5 to +5; a positive value indicates a more severe disease course for a patient when compared to other patients with similar disease timings.

resultsUsing Swedish MS registry data, the nARMSS was tested using data at 2 and 4 years of follow-up to predict the most severe quartile during the subsequent period up to 10 years total follow-up. The metric used was area under the curve of the receiver operating characteristic (AUC-ROC). This resulted in measurements of 0.929 and 0.941. In an external Canadian validation cohort, the equivalent AUC-ROCs were 0.901 and 0.908.

conclusionThe nARMSS provides a reliable, generalizable and easily measurable metric which makes longitudinal comparison of disease course between individuals feasible.

Indexed as

Multiple SclerosisCanadaCross-Sectional StudiesDisability EvaluationDisease ProgressionHumansdisabilityMultiple sclerosisoutcomeprogression measure

Identifiers

PMID33487091
PMCPMC8521354

What OpenQuestion holds

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LicenceCC BY
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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.