Evidence map›Paper›PMID 36637715›Full record

ArticleBrain imaging and behavior2023

Ruiyuan Weng, Shuhua Ren, Jiabin Su, Wei Ni, Chunlei Yang, Xinjie Gao, Weiping Xiao, Xin Zhang, Hanqiang Jiang, Yihui Guan and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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

12 authors at 1 institution in 1 country.

Ruiyuan Weng *Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Shuhua Ren *PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Jiabin Su *Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Wei NiDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Chunlei YangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xinjie GaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Weiping XiaoDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xin ZhangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Hanqiang JiangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Yihui GuanPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Qi HuangPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Yuxiang GuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China. guyuxiang1972@126.com.ORCID http://orcid.org/0000-0002-4580-2205
Fudan University · CN

Funding

Natural Science Foundation of China 81771237
6 · The paper itself

Abstract

Vascular cognitive impairment (VCI) is a critical issue in moyamoya disease (MMD). However, the glucose metabolic pattern in these patients is still unknown. This study aimed to identify the metabolic signature of cognitive impairment in patients with MMD using

Indexed as

Cognitive DysfunctionMoyamoya DiseaseAdultAlgorithmsBrainFluorodeoxyglucose F18GlucoseHumansMagnetic Resonance ImagingPositron-Emission TomographyFluorodeoxyglucose F18Glucose18F-FDG PETCognitive impairmentMetabolic patternMoyamoya diseaseSparse representation

Identifiers

PMID36637715
OpenAlexW4315928679

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.