Evidence map›Paper›PMID 33013674›Full record

ReviewFrontiers in neurology2020

Brain MRI Pattern Recognition in Neurodegeneration With Brain Iron Accumulation.

Jae-Hyeok Lee, Ji Young Yun, Allison Gregory, Penelope Hogarth, Susan J Hayflick

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  4. Observational
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  7. Review
  8. Biallelic Variants in SLC27A3 Cause a Complex Form of Neurodegeneration with Brain Iron Accumulation.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  9. Article
  10. Article
  11. Article
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  18. The role of laboratory investigations in the classification of tremors.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Review
  19. Article
  20. Article
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 3 institutions in 2 countries.

Jae-Hyeok LeeDepartment of Neurology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan-si, South Korea.
Ji Young YunDepartment of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea.
Allison GregoryDepartments of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Penelope HogarthDepartments of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Susan J HayflickDepartments of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Oregon Health & Science University · USEwha Womans University · KRPusan National University Yangsan Hospital · KR

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002369
6 · The paper itself

Abstract

Most neurodegeneration with brain iron accumulation (NBIA) disorders can be distinguished by identifying characteristic changes on magnetic resonance imaging (MRI) in combination with clinical findings. However, a significant number of patients with an NBIA disorder confirmed by genetic testing have MRI features that are atypical for their specific disease. The appearance of specific MRI patterns depends on the stage of the disease and the patient's age at evaluation. MRI interpretation can be challenging because of heterogeneously acquired MRI datasets, individual interpreter bias, and lack of quantitative data. Therefore, optimal acquisition and interpretation of MRI data are needed to better define MRI phenotypes in NBIA disorders. The stepwise approach outlined here may help to identify NBIA disorders and delineate the natural course of MRI-identified changes.

Indexed as

ironmagnetic resonance imagingNBIAneurodegenerationpattern

Identifiers

PMID33013674
PMCPMC7511538
OpenAlexW3085914772

What OpenQuestion holds

Textmetadata
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.