Evidence map›Paper›PMID 34950873›Full record

ArticleBrain communications2021

Developing a clinical-environmental-genotypic prognostic index for relapsing-onset multiple sclerosis and clinically isolated syndrome.

Valery Fuh-Ngwa, Yuan Zhou, Jac C Charlesworth, Anne-Louise Ponsonby, Steve Simpson-Yap, Jeannette Lechner-Scott, Bruce V Taylor, AusLong/Ausimmune Investigators Group

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Assessing the role of volumetric brain information in multiple sclerosis progression.Computational and structural biotechnology journal · 2025
    Article
  2. Review
  3. Observational
  4. 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

8 authors at 3 institutions in 1 country.

Valery Fuh-NgwaMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.ORCID https://orcid.org/0000-0001-7531-7246
Yuan ZhouMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
Jac C CharlesworthMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
Anne-Louise PonsonbyDeveloping Brain Division, The Florey Institute for Neuroscience and Mental Health, University of Melbourne Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, 3052, Australia.ORCID https://orcid.org/0000-0002-6581-3657
Steve Simpson-YapMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
Jeannette Lechner-ScottDepartment of Neurology, Hunter Medical Research Institute, University of Newcastle, Callaghan, NSW, 2310, Australia.
Bruce V TaylorMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
AusLong/Ausimmune Investigators Group
University of Tasmania · AUJohn Hunter Hospital · AURoyal Children's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our inability to reliably predict disease outcomes in multiple sclerosis remains an issue for clinicians and clinical trialists. This study aims to create, from available clinical, genetic and environmental factors; a clinical-environmental-genotypic prognostic index to predict the probability of new relapses and disability worsening. The analyses cohort included prospectively assessed multiple sclerosis cases (

Indexed as

clinical–environmentaldynamic predictionsgenetic variantsmultiple sclerosisprognostic index

Identifiers

PMID34950873
PMCPMC8691056
OpenAlexW4206206171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.