Evidence map›Paper›PMID 32992453›Full record

ArticleBrain sciences2020

Statistical Permutation Test Reveals Progressive and Region-Specific Iron Accumulation in the Thalami of Children with Aspartylglucosaminuria.

Viljami Sairanen, Anna Tokola, Ritva Tikkanen, Minna Laine, Taina Autti

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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  5. Review
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 4 institutions in 3 countries.

Viljami SairanenHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland.ORCID 0000-0002-8833-7155
Anna TokolaHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland.ORCID 0000-0002-5135-2191
Ritva TikkanenInstitute of Biochemistry, Medical Faculty, University of Giessen, Friedrichstrasse 24, 35392 Giessen, Germany.ORCID 0000-0002-8393-1825
Minna LaineHelsinki University Central Hospital, Child Neurology, 00029 Helsinki, Finland.
Taina AuttiHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland.
University of Helsinki · FIHelsinki University Hospital · FIJustus-Liebig-Universität Gießen · DEUniversity of Verona · IT

Funding

Emil Aaltosen Säätiö no number
6 · The paper itself

Abstract

Aspartylglucosaminuria (AGU) is a rare lysosomal storage disorder causing developmental delay, intellectual disability, and eventual death. A distinct feature in AGU is iron accumulation within the thalamus. Our aim is to demonstrate that susceptibility-weighted images (SWI) could be used as an MRI biomarker to evaluate the response within the AGU population to newly evolving treatments. SWI from 16 patients with AGU and 16 age-matched controls were used in the analysis. Thalamic volume with an iron accumulation was identified using a permutation test. Group differences were investigated for both the complete thalamus and the iron accumulation regions. Group-wise age correlation within these volumes were assessed with analysis of variance and multivariate regression. We found a statistically significant and large difference (

Indexed as

aspartylglucosaminidaseaspartylglucosaminuriagene therapymagnetic resonance imagingmedical image analysispharmacological chaperone mediated therapysusceptibility-weighted imaging

Identifiers

PMID32992453
PMCPMC7600807
OpenAlexW3089027564

What OpenQuestion holds

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LicenceCC BY
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.