Evidence map›Paper›PMID 35875463›Full record

ArticleInternational journal of MS care

Predicting Long-term Disability in Multiple Sclerosis: A Narrative Review of Current Evidence and Future Directions.

Bianca Weinstock-Guttman, Maria Pia Sormani, Pavle Repovic

Open access · diamondAbstract read
In one paragraph

Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Smoking and disability outcomes in multiple sclerosis: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Article
  3. Article
  4. AI-enabled Living Labs: Accelerating innovation in multiple sclerosis care and research.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Review
  5. Article
  6. Intimate partner violence among women with multiple sclerosis.PCN reports : psychiatry and clinical neurosciences · 2025
    Article
  7. Article
  8. The impact of relapse definition and measures of durability on MS clinical trial outcomes.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
    Article
  9. Article
  10. Review
  11. Review
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

3 authors at 3 institutions in 2 countries.

Bianca Weinstock-GuttmanDepartment of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA (BW-G).ORCID https://orcid.org/0000-0001-6732-151X
Maria Pia SormaniDepartment of Health Sciences, University of Genoa, Genoa, Italy (MPS).
Pavle RepovicIRCCS Ospedale Policlinico San Martino, Genoa, Italy (MPS); and Swedish Medical Center at Seattle, Seattle, WA, USA (PR).
Swedish Medical Center · USUniversity at Buffalo, State University of New York · USUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to reliably monitor disease progression in patients with multiple sclerosis (MS) is integral to patient care. The Expanded Disability Status Scale (EDSS) is a commonly used tool to assess the disability status of patients with MS; however, it has limited sensitivity in detecting subtle changes in disability levels and, as a result, does not consistently provide clinicians with accurate insight into disease progression. At the 2019 European Committee for Treatment and Research in Multiple Sclerosis meeting in Stockholm, Sweden, a panel of neurologists met to discuss the limitations of the EDSS as a short-term predictor of MS progression. Before this panel discussion, a targeted literature review was conducted to evaluate published evidence on prognostic measures such as fatigue, physical assessments, and measures that are more taxing for patients, all of which may be useful to clinicians at different stages of the course of MS. This article summarizes currently available evidence in support of these measures. In addition, this article highlights the current state of expert clinical consensus regarding the current approaches used to predict and monitor disease progression and offers insight for future studies to assist clinicians in accurately monitoring disease progression in patients with MS.

Indexed as

long-term disabilitymultiple sclerosispredictive value

Identifiers

PMID35875463
PMCPMC9296054
OpenAlexW3202909754

What OpenQuestion holds

Textmetadata
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.