Evidence map›Paper›PMID 35425898›Full record

ArticleBrain communications2022

Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis.

Frederique M Boonstra, Meaghan Clough, Myrte Strik, Anneke van der Walt, Helmut Butzkueven, Owen B White, Meng Law, Joanne Fielding, Scott C Kolbe

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

Article in Brain communications, 2022. 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
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Frederique M BoonstraDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Meaghan CloughDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Myrte StrikDepartment of Medicine and Radiology, University of Melbourne, Parkville 3010, Australia.
Anneke van der WaltDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Helmut ButzkuevenDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Owen B WhiteDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Meng LawDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Joanne FieldingDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Scott C KolbeDepartment of Neuroscience, Central Clinical School, Monash University, Level 6, 99 Commercial Rd, Prahran 3005, Australia.
Monash University · AUAlfred Health · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axonal loss in the CNS is a key driver of progressive neurological impairments in people with multiple sclerosis. Currently, there are no established methods for tracking axonal loss clinically. This study aimed to determine the sensitivity of longitudinal diffusion MRI-derived fibre-specific measures of axonal loss in people with multiple sclerosis. Fibre measures were derived from diffusion MRI acquired as part of a standard radiological MRI protocol and were compared (i) to establish measures of neuro-axonal degeneration: brain parenchymal fraction and retinal nerve fibre layer thickness and (ii) between different disease stages: clinically isolated syndrome and early/late relapsing-remitting multiple sclerosis. Retrospectively identified data from 59 people with multiple sclerosis (18 clinically isolated syndrome, 22 early and 19 late relapsing-remitting) who underwent diffusion MRI as part of their routine clinical monitoring were collated and analysed. Twenty-six patients had 1-year and 14 patients had a 2-year follow-up. Brain parenchymal fraction was calculated from 3D MRI scans, and fibre-specific measures were calculated from diffusion MRI using multi-tissue constrained spherical deconvolution. At each study visit, patients underwent optical coherence tomography to determine retinal nerve fibre layer thickness, and standard neurological assessment expanded the disability status scale. We found a significant annual fibre-specific neuro-axonal degeneration (mean ± SD = -3.49 ± 3.32%,

Indexed as

axonal degenerationdiffusion magnetic resonance imaginglongitudinal cohort studymultiple sclerosis

Identifiers

PMID35425898
PMCPMC9006042
OpenAlexW4221002968

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.