Evidence map›Paper›PMID 24446248›Full record

ReviewCNS drugs2014

Clinical relevance of brain volume measures in multiple sclerosis.

Nicola De Stefano, Laura Airas, Nikolaos Grigoriadis, Heinrich P Mattle, Jonathan O'Riordan, Celia Oreja-Guevara, Finn Sellebjerg, Bruno Stankoff, Agata Walczak, Heinz Wiendl and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in CNS drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 11 pooled it
25.6field-weighted citation impact, top 1% 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

155 citing papers in PubMed, 11 syntheses or guidelines pooled it, 289 citations in OpenAlex.

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  9. Guideline
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  15. Does M1 anodal transcranial direct current stimulation affects online and offline motor learning in patients with multiple sclerosis?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
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95 more citing papers are in PubMed but not listed here.

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 at 10 institutions in 9 countries.

Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Viale Bracci 2, Siena, 53100, Italy, destefano@unisi.it.
Laura Airas
Nikolaos Grigoriadis
Heinrich P Mattle
Jonathan O'Riordan
Celia Oreja-Guevara
Finn Sellebjerg
Bruno Stankoff
Agata Walczak
Heinz Wiendl
Bernd C Kieseier
AHEPA University Hospital · GRDanish Multiple Sclerosis Center · DKHeinrich Heine University Düsseldorf · DEMedical University of Lodz · PLPitié-Salpêtrière Hospital · FRTurku University Hospital · FIUniversity Hospital Münster · DEUniversity Hospital of Bern · CHUniversity of Dundee · GBUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic disease with an inflammatory and neurodegenerative pathology. Axonal loss and neurodegeneration occurs early in the disease course and may lead to irreversible neurological impairment. Changes in brain volume, observed from the earliest stage of MS and proceeding throughout the disease course, may be an accurate measure of neurodegeneration and tissue damage. There are a number of magnetic resonance imaging-based methods for determining global or regional brain volume, including cross-sectional (e.g. brain parenchymal fraction) and longitudinal techniques (e.g. SIENA [Structural Image Evaluation using Normalization of Atrophy]). Although these methods are sensitive and reproducible, caution must be exercised when interpreting brain volume data, as numerous factors (e.g. pseudoatrophy) may have a confounding effect on measurements, especially in a disease with complex pathological substrates such as MS. Brain volume loss has been correlated with disability progression and cognitive impairment in MS, with the loss of grey matter volume more closely correlated with clinical measures than loss of white matter volume. Preventing brain volume loss may therefore have important clinical implications affecting treatment decisions, with several clinical trials now demonstrating an effect of disease-modifying treatments (DMTs) on reducing brain volume loss. In clinical practice, it may therefore be important to consider the potential impact of a therapy on reducing the rate of brain volume loss. This article reviews the measurement of brain volume in clinical trials and practice, the effect of DMTs on brain volume change across trials and the clinical relevance of brain volume loss in MS.

Indexed as

Adjuvants, ImmunologicAtrophyBrainClinical Trials as TopicCognition DisordersCross-Sectional StudiesDisability EvaluationDisease ProgressionHumansMagnetic Resonance ImagingMultiple SclerosisOrgan SizeSensitivity and SpecificityAdjuvants, Immunologic

Identifiers

PMID24446248
OpenAlexW2026913491

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.