Evidence map›Paper›PMID 29201641›Full record

ArticleNeuroImage. Clinical2018

Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals.

Jesper Hagemeier, Murali Ramanathan, Ferdinand Schweser, Michael G Dwyer, Fuchun Lin, Niels Bergsland, Bianca Weinstock-Guttman, Robert Zivadinov

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

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 21% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  18. A DistinctCells · 2022
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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

8 authors at 3 institutions in 1 country.

Jesper HagemeierBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA. Electronic address: jhagemeier@bnac.net.
Murali RamanathanDepartment of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA.
Ferdinand SchweserBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Michael G DwyerBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Fuchun LinBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Niels BergslandBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Bianca Weinstock-GuttmanJacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
University at Buffalo, State University of New York · USJacobs Institute · USBuffalo Psychiatric Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain iron homeostasis is known to be disturbed in multiple sclerosis (MS), yet little is known about the association of common gene variants linked to iron regulation and pathological tissue changes in the brain. In this study, we investigated the association of genetic determinants linked to iron regulation with deep gray matter (GM) magnetic susceptibility in both healthy controls (HC) and MS patients. Four hundred (400) patients with MS and 150 age- and sex-matched HCs were enrolled and obtained 3 T MRI examination. Three (3) single nucleotide polymorphisms (SNPs) associated with iron regulation were genotyped: two SNPs in the human hereditary hemochromatosis protein gene

Indexed as

AdultAgedBrainBrain ChemistryFemaleGenetic Predisposition to DiseaseGenotypeGray MatterHemochromatosis ProteinHumansImage Interpretation, Computer-AssistedIronMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisHemochromatosis ProteinHFE protein, humanIronTransferrinEDSS, Expanded Disability Status ScaleFDR, false discovery rateFWE, family-wise error rateGLM, general linear modelGM, gray matterGRE, gradient recalled echoHC, healthy controlHFE, human hemochromatosis geneIronIron related genesMS, multiple sclerosisMSSS, multiple sclerosis severity scaleMultiple sclerosisppb, parts per billionQSMQSM, quantitative susceptibility mappingQuantitative susceptibility mappingROI, region of interestRRMS, relapsing-remitting multiple sclerosisSNP, single nucleotide polymorphismT1w, T1-weightedTFCE, threshold-free cluster enhancementTF, transferrinVBA, voxel-based analysis

Identifiers

PMID29201641
PMCPMC5699896
OpenAlexW2767615018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.