Evidence map›Paper›PMID 30692550›Full record

ArticleScientific reports2019

Multimodal imaging analyses in patients with genetic and sporadic forms of small vessel disease.

Ko Woon Kim, Hunki Kwon, Young-Eun Kim, Cindy W Yoon, Yeo Jin Kim, Yong Bum Kim, Jong Min Lee, Won Tae Yoon, Hee Jin Kim, Jin San Lee and 14 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Ko Woon KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hunki KwonDepartment of Biomedical Engineering, Hanyang University, Seoul, Korea.
Young-Eun KimGenome Research Center, Green Cross Genome, Yong-in, Korea.ORCID 0000-0002-4082-7630
Cindy W YoonDepartment of Neurology, Inha University School of Medicine, Incheon, Korea.
Yeo Jin KimDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
Yong Bum KimDepartment of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jong Min LeeDepartment of Biomedical Engineering, Hanyang University, Seoul, Korea.
Won Tae YoonDepartment of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-7026-3899
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jin San LeeDepartment of Neurology, Kyung Hee University Hospital, Seoul, Korea.
Young Kyoung JangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yeshin KimDepartment of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea.
Hyemin JangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-3152-1274
Chang-Seok KiDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young Chul YounDepartment of Neurology, Chung-Ang University College of Medicine, Seoul, Korea.
Byoung-Soo ShinDepartment of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea.
Oh Young BangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Gyeong-Moon KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Chin-Sang ChungDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung Joo KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Duk L NaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Marco DueringInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU, Munich, Germany.
Hanna ChoDepartment of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, and Departments of, Clinical Research Design and Evaluation, Seoul, Korea. iguhanna@naver.com.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sangwonseo@empal.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is thought to be a pure genetic form of subcortical vascular cognitive impairment (SVCI). The aim of this study was to compare white matter integrity and cortical thickness between typical CADASIL, a genetic form, and two sporadic forms of SVCI (with NOTCH3 and without NOTCH3 variants). We enrolled typical CADASIL patients (N = 11) and SVCI patients [with NOTCH3 variants (N = 15), without NOTCH3 variants (N = 101)]. To adjust the age difference, which reflects the known difference in clinical and radiologic courses between typical CADASIL patients and SVCI patients, we constructed a W-score of measurement for diffusion tensor image and cortical thickness. Typical CADASIL patients showed more frequent white matter hyperintensities in the bilateral posterior temporal region compared to SVCI patients (p < 0.001, uncorrected). We found that SVCI patients, regardless of the presence of NOTCH3 variants, showed significantly greater microstructural alterations (W-score, p < 0.05, FWE-corrected) and cortical thinning (W-score, p < 0.05, FDR-corrected) than typical CADASIL patients. In this study, typical CADASIL and SVCI showed distinct anatomic vulnerabilities in the cortical and subcortical structures. However, there was no difference between SVCI with NOTCH3 variants and SVCI without NOTCH3 variants.

Indexed as

AgedAged, 80 and overCADASILCerebral CortexDementia, VascularDiffusion Tensor ImagingFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultimodal ImagingReceptor, Notch3White MatterNOTCH3 protein, humanReceptor, Notch3

Identifiers

PMID30692550
PMCPMC6349863

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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.