Evidence map›Paper›PMID 21318351›Full record

ArticleJournal of inherited metabolic disease2011

Brain white matter abnormalities in paediatric Gaucher Type I and Type III using diffusion tensor imaging.

Elin Haf Davies, Kiran K Seunarine, Tina Banks, Chris A Clark, Ashok Vellodi

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Article in Journal of inherited metabolic disease, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

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  12. The cognitive profile of type 1 Gaucher disease patients.Journal of inherited metabolic disease · 2012
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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

5 authors at 1 institution in 1 country.

Elin Haf DaviesInstitute of Child Health, University College London, London, WC1N 1EH, UK. E.Davies@ich.ucl.ac.uk
Kiran K Seunarine
Tina Banks
Chris A Clark
Ashok Vellodi
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBiomarkers to monitor neurological dysfunction in Neuronopathic Gaucher disease (NGD) are lacking. Diffusion tensor imaging (DTI) is a technique which allows us to probe the microstructure of the white-matter of the brain, in-vivo. The aim of this study was to investigate the value of DTI to visualise and quantify white matter integrity in children with NGD and Type I Gaucher.

designDTI was performed and fractional anisotropy (FA), mean diffusivity (MD), axial (λ(axial)) diffusivity and radial (λ(radial)) diffusivity maps calculated. Tract-based spatial statistics (TBSS) was used to perform a voxel-wise statistical analysis of the main white matter structures compared to age-sex matched control groups.

settingThe study was performed at Great Ormond Street Children's Hospital NHS Trust PATIENTS: Four NGD and three Type I Gaucher paediatric patients were recruited

resultsThe findings suggest the presence of microstructural white matter changes in NGD patients primarily in the middle cerebellar peduncles compared to an age-sex matched control group. This finding is relevant to the clinical manifestation of ataxia seen in NGD. Diffuse non-specific changes were seen in the Type I patients, but without a focal point.

conclusionsThis study is the first to use DTI to examine the Gaucher brain. While the numbers studied are small, the results suggest that DTI may be an attractive surrogate marker of NGD, worthy of further exploration for use in clinical studies.

Indexed as

AdolescentAnisotropyBrainCase-Control StudiesChildCohort StudiesDiffusionDiffusion Tensor ImagingFemaleGaucher DiseaseGenotypeHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePediatrics

Identifiers

PMID21318351
OpenAlexW2078117403

What OpenQuestion holds

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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.