Evidence map›Paper›PMID 25161895›Full record

ArticleNeuroImage. Clinical2014

Diminished white matter integrity in patients with systemic lupus erythematosus.

Tobias Schmidt-Wilcke, Patricia Cagnoli, Page Wang, Thomas Schultz, Anne Lotz, William J Mccune, Pia C Sundgren

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Tobias Schmidt-WilckeDepartment of Neurology, Berufsgenossenschaftliche Universitätsklinik, Ruhr Universität Bochum, Bochum, Germany.
Patricia CagnoliDepartment of Rheumatology, University of Michigan, Ann Arbor, MI, USA.
Page WangDepartment of Diagnostic Radiology, University of Michigan Hospital, Ann Arbor, USA.
Thomas SchultzMax Planck Institute for Intelligent Systems, Tübingen, Germany ; Department of Computer Science, University of Bonn, Bonn, Germany.
Anne LotzInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Ruhr Universität Bochum, Bochum, Germany.
William J MccuneDepartment of Rheumatology, University of Michigan, Ann Arbor, MI, USA.
Pia C SundgrenDepartment of Diagnostic Radiology, University of Michigan Hospital, Ann Arbor, USA ; Department of Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden.
University of Michigan–Ann Arbor · USInstitute for Prevention and Occupational Medicine · DEMax Planck Institute for Intelligent Systems · DERuhr University Bochum · DE

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1TR000433NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1RR024986
6 · The paper itself

Abstract

purposeSystemic lupus erythematosus (SLE) is an autoimmune connective tissue disease that can affect the central nervous system. Neuropsychiatric symptoms are found in 25-70% of patients. Using diffusion tensor imaging (DTI) various studies have reported changes in white matter integrity in SLE patients with neuropsychiatric symptoms (NPSLE patients). The purpose of this study was to investigate, if regional changes in white matter integrity can also be detected in SLE patients without neuropsychiatric symptoms (non-NPSLE patients).

methodsApplying DTI and tract based spatial statistics (TBSS) we investigated 19 NPSLE patients, 19 non-NPSLE and 18 healthy controls. Groups were matched for age and sex. Image pre-processing was performed using FSL, following the TBSS pipeline (eddy current correction, estimation of fractional anisotropy (FA), normalization, skeletonization of the group mean FA image). A general linear model with threshold-free cluster enhancement was used to assess significant differences between the three groups.

resultsStatistical analyses revealed several regions of decreased prefrontal white matter integrity (decreased FA) in both groups of SLE patients. The changes found in the non-NPSLE patients (as compared to healthy controls) overlapped with those in the NPSLE patients, but were not as pronounced.

conclusionsOur data suggest that changes in regional white matter integrity, in terms of a decrease in FA, are present not only in NPSLE patients, but also in non-NPSLE patients, though to a lesser degree. We also demonstrate that the way statistical maps are corrected for multiple comparisons has a profound influence on whether alterations in white matter integrity in non-NPSLE patients are deemed significant.

Indexed as

AdultDiffusion Tensor ImagingFemaleHumansImage Interpretation, Computer-AssistedLupus Erythematosus, SystemicLupus Vasculitis, Central Nervous SystemMaleMiddle AgedWhite MatterYoung AdultACR, American College of RheumatologyCNS, central nervous systemDiffusion tensor imagingdMRI, diffusion MRIDTI, diffusion tensor imagingFA, fractional anisotropyMRI, magnetic resonance imagingSD, standard deviationSLEDAI, Systemic Lupus Erythematosus Disease Activity IndexSLE, systemic lupus erythematosusSLICC, systemic lupus erythematosus International Collaborating ClinicsSVM, support vector machineSystemic lupus erythematosusTBSS, tract based spatial statisticsTFCE, threshold free cluster enhancementVBM, voxel based morphometryWhite matter

Identifiers

PMID25161895
PMCPMC4141982
OpenAlexW2064921702

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.