Evidence map›Paper›PMID 30083891›Full record

ArticleNeuroscience bulletin2018

Abnormal Metabolic Connectivity in Rats at the Acute Stage of Ischemic Stroke.

Shengxiang Liang, Xiaofeng Jiang, Qingqing Zhang, Shaofeng Duan, Tianhao Zhang, Qi Huang, Xi Sun, Hua Liu, Jie Dong, Weilin Liu and 5 more

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

Article in Neuroscience bulletin, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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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 6 institutions in 1 country.

Shengxiang LiangCollege of Physical Science and Technology, Zhengzhou University, Zhengzhou, 450001, China.
Xiaofeng JiangSchool of Public Health and Family Medicine, Capital Medical University, Beijing, 100068, China.
Qingqing ZhangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Shaofeng DuanBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Tianhao ZhangBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Qi HuangBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Xi SunCollege of Physical Science and Technology, Zhengzhou University, Zhengzhou, 450001, China.
Hua LiuBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Jie DongCollege of Physical Science and Technology, Zhengzhou University, Zhengzhou, 450001, China.
Weilin LiuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Jing TaoCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Shujun ZhaoCollege of Physical Science and Technology, Zhengzhou University, Zhengzhou, 450001, China. zhaosj@zzu.edu.cn.
Binbin NieBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China. niebb@ihep.ac.cn.
Lidian ChenCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Baoci ShanBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Fujian University of Traditional Chinese Medicine · CNInstitute of High Energy Physics · CNZhengzhou University of Science and Technology · CNUniversity of Chinese Academy of Sciences · CNCapital Medical University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke at the acute stage is a major cause of disability in adults, and is associated with dysfunction of brain networks. However, the mechanisms underlying changes in brain connectivity in stroke are far from fully elucidated. In the present study, we investigated brain metabolism and metabolic connectivity in a rat ischemic stroke model of middle cerebral artery occlusion (MCAO) at the acute stage using

Indexed as

Acute DiseaseAnimalsBrainBrain MappingDisease Models, AnimalFluorodeoxyglucose F18GlucoseInfarction, Middle Cerebral ArteryMaleNeural PathwaysPositron-Emission TomographyRadiopharmaceuticalsRandom AllocationRats, Sprague-DawleyFluorodeoxyglucose F18GlucoseRadiopharmaceuticalsAcuteFDG PETIschemic strokeMetabolic connectivity

Identifiers

PMID30083891
PMCPMC6129253
OpenAlexW2887812626

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.