Evidence map›Paper›PMID 38156270›Full record

ArticleFrontiers in neuroscience2023

Reduced GABA concentration in patients with white matter hyperintensities.

Xin Wang, Caihong Wang, Peifang Miao, Ying Wei, Liangjie Lin, Zhen Li, Yong Zhang, Jingliang Cheng, Cuiping Ren

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Xin Wang *Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Caihong Wang *Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Peifang MiaoKey Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ying WeiKey Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Liangjie LinClinical and Technical Support, Philips Healthcare, Beijing, China.
Zhen LiDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yong ZhangKey Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jingliang ChengKey Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Cuiping RenKey Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNPhilips (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate potential alterations of white matter hyperintensities (WMHs) on

Indexed as

1H-MRSGABAMEGA-PRESSspectral editingwhite matter hyperintensities

Identifiers

PMID38156270
PMCPMC10752961
OpenAlexW4389742610

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.