Evidence map›Paper›PMID 29176958›Full record

ArticleFrontiers in neurology2017

New Multiple Sclerosis Disease Severity Scale Predicts Future Accumulation of Disability.

Ann Marie Weideman, Christopher Barbour, Marco Aurelio Tapia-Maltos, Tan Tran, Kayla Jackson, Peter Kosa, Mika Komori, Alison Wichman, Kory Johnson, Mark Greenwood and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04496830 (Cerebrospinal Fluid-biomarkers-based Diagnostic and Prognostic Models for Multiple Sclerosis), which is not on this map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–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.

NCT04496830 completednot on this mapstarted 2020, after this paper: background citation

Cerebrospinal Fluid-biomarkers-based Diagnostic and Prognostic Models for Multiple Sclerosis

TypeobservationalSponsorWashington University School of MedicineRan2020 to 2023Enrolled161ConditionsMultiple Sclerosis
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Data-driven risk/benefit estimator for multiple sclerosis therapies.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Observational
  12. Review
  13. Article
  14. CNS Ageing in Health and Neurodegenerative Disorders.Journal of clinical medicine · 2023
    Review
  15. Neuroimaging Correlates of Patient-Reported Outcomes in Multiple Sclerosis.Degenerative neurological and neuromuscular disease · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Observational
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

11 authors.

Ann Marie WeidemanNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Christopher BarbourNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Marco Aurelio Tapia-MaltosNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Tan TranDepartment of Mathematical Sciences, Montana State University, Bozeman, MT, United States.
Kayla JacksonNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Peter KosaNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Mika KomoriNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Alison WichmanNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Kory JohnsonBioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Mark GreenwoodDepartment of Mathematical Sciences, Montana State University, Bozeman, MT, United States.
Bibiana BielekovaNeuroimmunological Diseases Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.

Funding

From therapeutic mechanisms to unraveling the pathophysiology of MSZIANS003056 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI BIELEKOVA, BIBIANA · 2009 to 2018
$14.5M
6 · The paper itself

Abstract

The search for the genetic foundation of multiple sclerosis (MS) severity remains elusive. It is, in fact, controversial whether MS severity is a stable feature that predicts future disability progression. If MS severity is not stable, it is unlikely that genotype decisively determines disability progression. An alternative explanation tested here is that the apparent instability of MS severity is caused by inaccuracies of its current measurement. We applied statistical learning techniques to a 902 patient-years longitudinal cohort of MS patients, divided into training (

Indexed as

clinical practiceclinical trialseducationmultiple sclerosisneuroimmunologyneuroinflammation

Identifiers

PMID29176958
PMCPMC5686060

What OpenQuestion holds

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Registered trials

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.