Evidence map›Paper›PMID 37650098›Full record

ArticleFrontiers in neuroscience2023

A weighted cranial diffusion-weighted imaging scale for Wilson's disease.

Shi-Jing Wang, Hao Geng, Si-Rui Cheng, Chen-Chen Xu, Rui-Qi Zhang, Yu Wang, Tong Wu, Bo Li, Tao Wang, Yong-Sheng Han and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. 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
1.0field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. Review
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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

15 authors at 5 institutions in 1 country.

Shi-Jing WangGraduate School, Anhui University of Chinese Medicine, Hefei, China.
Hao GengInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Si-Rui ChengDepartment of Economics, Nankai University, Tainjin, China.
Chen-Chen XuHospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Rui-Qi ZhangInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Yu WangInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Tong WuGraduate School, Anhui University of Chinese Medicine, Hefei, China.
Bo LiHospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Tao WangInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Yong-Sheng HanHospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China.
Zeng-Hui DingInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Yi-Ning SunInstitute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, China.
Xun WangGraduate School, Anhui University of Chinese Medicine, Hefei, China.
Yong-Zhu HanGraduate School, Anhui University of Chinese Medicine, Hefei, China.
Nan ChengGraduate School, Anhui University of Chinese Medicine, Hefei, China.
Anhui University of Traditional Chinese Medicine · CNInstitute of Intelligent Machines · CNChinese Academy of Sciences · CNNankai University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cranial magnetic resonance imaging (MRI) could be a crucial tool for the assessment for neurological symptoms in patients with Wilson's disease (WD). Diffusion-weighted imaging (DWI) hyperintensity reflects the acute brain injuries, which mainly occur in specific brain regions. Therefore, this study aimed to develop a weighted cranial DWI scale for patients with WD, with special focus on specific brain regions. Materials and methods: In total, 123 patients with WD were enrolled, 118 of whom underwent 1.5 T-MRI on admission. The imaging score was calculated as described previously and depended on the following sequences: one point was acquired when abnormal intensity occurred in the T1, T2, and fluid-attenuation inversion recovery sequences, and two points were acquired when DWI hyperintensity were found. Consensus weighting was conducted based on the symptoms and response to treatment. Results: Intra-rater agreement were good ( Conclusion: The predictive performance of the consensus semi-quantitative scoring system for cranial MRI was improved to guide medication, healthcare management, and prognosis prediction in patients with WD. For every point increase in the neuroimaging score, the risk of exacerbations during treatment increased by 5.2%, and the risk of readmission to the hospital within 6 months increased by 4.3%.

Indexed as

clinical assessmentMRIneuroimagingrating scoresWilson disease

Identifiers

PMID37650098
PMCPMC10463731
OpenAlexW4385876213

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.