Evidence map›Paper›PMID 31384479›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Early imaging predictors of longer term multiple sclerosis risk and severity in acute optic neuritis.

Sanuji Gajamange, Jim Stankovich, Gary Egan, Trevor Kilpatrick, Helmut Butzkueven, Joanne Fielding, Anneke van der Walt, Scott Kolbe

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Sanuji GajamangeDepartment of Medicine and Radiology, University of Melbourne, Australia.
Jim StankovichDepartment of Neuroscience, Central Clinical School, Monash University, Australia.
Gary EganMonash Biomedical Imaging, Monash University, Australia.
Trevor KilpatrickThe Florey Institute of Neuroscience and Mental Health, Australia.
Helmut ButzkuevenDepartment of Neuroscience, Central Clinical School, Monash University, Australia.
Joanne FieldingDepartment of Neuroscience, Central Clinical School, Monash University, Australia.
Anneke van der WaltDepartment of Neuroscience, Central Clinical School, Monash University, Australia.ORCID https://orcid.org/0000-0002-4278-7003
Scott KolbeDepartment of Neuroscience, Central Clinical School, Monash University, Australia.ORCID https://orcid.org/0000-0003-4685-1380
Monash University · AUFlorey Institute of Neuroscience and Mental Health · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarkers are urgently required for predicting the likely progression of multiple sclerosis (MS) at the earliest stages of the disease to aid in personalised therapy.

objectiveWe aimed to examine early brain volumetric and microstructural changes and retinal nerve fibre layer thinning as predictors of longer term MS severity in patients with clinically isolated syndromes (CIS).

methodsLesion metrics, brain and regional atrophy, diffusion fractional anisotropy and retinal nerve fibre layer thickness were prospectively assessed in 36 patients with CIS over the first 12 months after presentation and compared with clinical outcomes at longer term follow-up [median (IQR) = 8.5 (7.8-8.9) years].

resultsIn total, 25 (69%) patients converted to MS and had greater baseline lesion volume (

conclusionsAdditional to lesion metrics, early measurements of fractional anisotropy and retinal nerve fibre layer thinning are informative about longer term clinical outcomes in CIS.

Indexed as

disease severityinflammationMRIMultiple sclerosisneurodegenerationOCT

Identifiers

PMID31384479
PMCPMC6651676
OpenAlexW2964259708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.