Evidence map›Paper›PMID 30429274›Full record

ArticleNeurology2018

Body mass index, but not vitamin D status, is associated with brain volume change in MS.

Ellen M Mowry, Christina J Azevedo, Charles E McCulloch, Darin T Okuda, Robin R Lincoln, Emmanuelle Waubant, Stephen L Hauser, Daniel Pelletier

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

Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 86 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Ellen M MowryFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas. emowry1@jhmi.edu.
Christina J AzevedoFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Charles E McCullochFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Darin T OkudaFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Robin R LincolnFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Emmanuelle WaubantFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Stephen L HauserFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
Daniel PelletierFrom the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
University of Southern California · USJohns Hopkins University · US

Funding

GENE LINKAGE STUDY OF MULTIPLE SCLEROSIS SIBLING PAIRSR01NS026799 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAUSER, STEPHEN L, OKSENBERG, JORGE R. · 1989 to 2018
$6.8M
Molecular and Genetic Predictors of Disability Progression in MSR01NS062885 · NINDS · YALE UNIVERSITY · PI PELLETIER, DANIEL · 2009 to 2013
$1.6M
The effect of vitamin D on the clinical and imaging course of multiple sclerosisK23NS067055 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MOWRY, ELLEN M. · 2010 to 2014
$881k
NINDS NIH HHS K23 NS067055NINDS NIH HHS R01 NS026799NINDS NIH HHS R01 NS062885
6 · The paper itself

Abstract

objectiveTo determine whether body mass index (BMI) or vitamin D status is associated with MRI measures of neurodegeneration in a cohort of individuals with relapsing-remitting multiple sclerosis (RRMS) or clinically isolated syndrome (CIS).

methodsExpression, Proteomics, Imaging, Clinical (EPIC) is a longitudinal multiple sclerosis (MS) cohort study at the University of California, San Francisco. Participants had clinical evaluations, brain MRI, and blood draws annually. We evaluated patients with CIS or RRMS at baseline. In multivariate repeated-measures analyses adjusted for age, sex, ethnicity, smoking status, and use of MS treatments, annual 25-hydroxyvitamin D levels and BMI were evaluated for their association with subsequent brain volumes (normalized gray matter [nGMV], brain parenchymal [nBPV], and white matter volumes, as determined by Structural Image Evaluation using Normalization of Atrophy-X).

resultsAmong 469 participants, each 1-kg/m

conclusionsHigher BMI appears to be associated with greater reductions in nGMV and nBPV, which is relevant because, in particular, nGMV loss portends greater longer-term disability. Because obesity is modifiable, further studies should explore these relationships in detail, and evaluating the effect of reducing BMI on imaging and clinical outcomes in MS may be warranted.

Indexed as

AdultBody Mass IndexBrainFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisVitamin DWhite MatterVitamin D

Identifiers

PMID30429274
PMCPMC6329329
OpenAlexW2900678139

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.