Evidence map›Paper›PMID 30619055›Full record

ArticleFrontiers in neurology2018

Alterations of Sub-cortical Gray Matter Volume and Their Associations With Disease Duration in Patients With Restless Legs Syndrome.

Tian Li, Chunyan Liu, Hanqing Lyu, Zhexue Xu, Qingmao Hu, Bibo Xu, Yuping Wang, Jinping Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. MRI findings in movement disorders and associated sleep disturbances.American journal of nuclear medicine and molecular imaging · 2023
    Review
  2. Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  3. Observational
  4. Article
  5. Article
  6. Putamen gray matter volumes in neuropsychiatric and neurodegenerative disorders.World journal of psychiatry and mental health research · 2019
    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

8 authors at 3 institutions in 1 country.

Tian LiDepartment of Psychology, Faculty of Education, Hubei University, Wuhan, China.
Chunyan LiuDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Hanqing LyuRadiology Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Zhexue XuDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Qingmao HuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Bibo XuDepartment of Psychology, Faculty of Education, Hubei University, Wuhan, China.
Yuping WangDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China.
Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shenzhen Institutes of Advanced Technology · CNXuan Wu Hospital of the Capital Medical University · CNHubei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

resting-state functional connectivityrestless legs syndromesub-cortical alterationsurface-based morphometryvoxel-based morphometry

Identifiers

PMID30619055
PMCPMC6304426
OpenAlexW2904823032

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.