Evidence map›Paper›PMID 33387013›Full record

ArticleJournal of neurology2021

Subtyping relapsing-remitting multiple sclerosis using structural MRI.

Zhizheng Zhuo, Yongmei Li, Yunyun Duan, Guanmei Cao, Fenglian Zheng, Jinli Ding, Decai Tian, Xinli Wang, Jinhui Wang, Xinghu Zhang and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frontal-striatal tract integrity and depression in older adults with and without multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  6. Article
  7. From progression to progress: The future of multiple sclerosis.Journal of central nervous system disease · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. 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

24 authors.

Zhizheng Zhuo *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
Yongmei Li *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yunyun Duan *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
Guanmei CaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
Fenglian ZhengDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
Jinli DingDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
Decai TianCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Xinli WangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jinhui WangInstitute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China.
Xinghu ZhangCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Kuncheng LiDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Fuqing ZhouDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Muhua HuangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Yuxin LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Haiqing LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Chun ZengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Ningnannan ZhangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jie SunDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Chunshui YuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Xuemei HanDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130031, Jilin Province, China.
Sven HallerDepartment of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Fudong ShiCenter for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Yaou LiuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China. liuyaou@bjtth.org.

Funding

Beijing Natural Science fund 7133244National Natural Science Foundation of China 81571631National Natural Science Foundation of China 81870958
6 · The paper itself

Abstract

background and purposeSubtyping relapsing-remitting multiple sclerosis (RRMS) patients may help predict disease progression and triage patients for treatment. We aimed to subtype RRMS patients by structural MRI and investigate their clinical significances.

methods155 relapse-remitting MS (RRMS) and 210 healthy controls (HC) were retrospectively enrolled with structural 3DT1, diffusion tensor imaging (DTI) and resting-state functional MRI. Z scores of cortical and deep gray matter volumes (CGMV and DGMV) and white matter fractional anisotropy (WM-FA) in RRMS patients were calculated based on means and standard deviations of HC. We defined RRMS as "normal" (- 2 < z scores of both GMV and WM-FA), DGM (z scores of DGMV < - 2), and DGM-plus types (z scores of DGMV and [CGMV or WM-FA] < - 2) according to combinations of z scores compared to HC. Expanded disability status scale (EDSS), cognitive and functional MRI measurements, and conversion rate to secondary progressive MS (SPMS) at 5-year follow-up were compared between subtypes.

results77 (49.7%) patients were "normal" type, 37 (23.9%) patients were DGM type and 34 (21.9%) patients were DGM-plus type. 7 (4.5%) patients who were not categorized into the above types were excluded. DGM-plus type had the highest EDSS. Both DGM and DGM-plus types had more severe cognitive impairment than "normal" type. Only DGM-plus type showed decreased functional MRI measures compared to HC. A higher conversion ratio to SPMS in DGM-plus type (55%) was identified compared to "normal" type (14%, p < 0.001) and DGM type (20%, p = 0.005).

conclusionThree MRI-subtypes of RRMS were identified with distinct clinical and imaging features and different prognosis.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingDiffusion Tensor ImagingGray MatterHumansMagnetic Resonance ImagingRetrospective StudiesDiffusion tensor imagingFractional anisotropyGray matter volumeMagnetic resonance imagingRelapsing–remitting multiple sclerosis

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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.