Evidence map›Paper›PMID 35013788›Full record

SynthesisJournal of neurology2022

Voxel-based meta-analysis of gray matter abnormalities in idiopathic dystonia.

Xiang Huang, Junyu Lin, Huifang Shang, Jing Yang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. SPECT Cerebral Perfusion Patterns in Isolated Cervical Dystonia.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

4 authors at 1 institution in 1 country.

Xiang HuangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Junyu LinDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Huifang ShangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jing YangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. jingyang_cc@163.com.ORCID http://orcid.org/0000-0001-7512-6183
Sichuan University · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China No. 2021YJ0447National Natural Science Foundation of China 81971071
6 · The paper itself

Abstract

backgroundNeuroimaging studies have reported gray matter changes in patients with idiopathic dystonia but with considerable variations. Here, we aimed to investigate the convergence of dystonia-related gray matter changes across studies.

methodsThe whole brain voxel-based morphometry studies comparing idiopathic dystonia and healthy controls were systematically searched in the PubMed, Web of Science and Embase. Meta-analysis of gray matter changes was performed using the anisotropic effect size-based signed differential mapping.

resultsTwenty-eight studies comparing 701 idiopathic dystonia patients and 712 healthy controls were included in the meta-analysis. Compared to healthy controls, idiopathic dystonia patients showed increased gray matter in bilateral precentral and postcentral gyri, bilateral putamen and pallidum, right insula, and left supramarginal gyrus, while decreased gray matter in bilateral temporal poles, bilateral supplementary motor areas, right angular gyrus, inferior parietal gyrus and precuneus, left insula and inferior frontal gyrus. These findings remained robust in the jackknife sensitivity analysis, and no significant heterogeneity was detected. Subgroup analyses of different phenotypes of dystonia were performed to further confirm the above findings.

conclusionThe meta-analysis showed that consistent widespread gray matter abnormalities were shared in different subtypes of idiopathic dystonia and were not restricted to the corticostriatal circuits.

Indexed as

DystoniaGray MatterBrainCerebral CortexHumansMagnetic Resonance ImagingNeuroimagingGray matterIdiopathic dystoniaMeta-analysisVoxel-based morphometry

Identifiers

PMID35013788
OpenAlexW4206492840

What OpenQuestion holds

Textmetadata
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.