Evidence map›Paper›PMID 36321272›Full record

ArticleObesity (Silver Spring, Md.)2022

Cerebral

Yu-Jie Duan, Mou-Xiong Zheng, Jia-Jia Wu, Jie Ma, Xiang-Xin Xing, Zhen-Zhen Ma, Si-Si Li, Yu-Lin Li, Xin Xue, Xu-Yun Hua and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. CerebralObesity (Silver Spring, Md.) · 2022
    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

11 authors at 1 institution in 1 country.

Yu-Jie DuanSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-9830-7363
Mou-Xiong ZhengDepartment of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jia-Jia WuCenter of Rehabilitation Medicine, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie MaCenter of Rehabilitation Medicine, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiang-Xin XingCenter of Rehabilitation Medicine, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhen-Zhen MaDepartment of Rehabilitation Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Si-Si LiSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu-Lin LiSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xin XueSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xu-Yun HuaDepartment of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jian-Guang XuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-0601-3403
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explored the relationship between BMI and regional cerebral glucose metabolism and explicitly detected regions with significant differences in cerebral metabolism using positron emission tomography (PET)/magnetic resonance imaging in the resting state.

methodsCorresponding PET images acquired from 220 participants were sorted into four groups according to Asian BMI standards: underweight, normal weight, overweight, and obesity. Pearson correlation coefficient analysis was performed to assess the association between BMI and standard uptake value. The regional cerebral glucose metabolism was measured in the fasted state. The PET images were analyzed using statistical parameter maps. One-way ANOVA was used to explore differences in the standard uptake value as an indicator of regional cerebral glucose metabolism.

resultsThis study found that lower cerebral glucose metabolism in reward- and motivation-related regions was accompanied by more severe obesity and that regional cerebral glucose metabolism activities were negatively correlated with BMI. In addition, more severe obesity was accompanied by a larger range of areas with significant differences independent of current dietary status.

conclusionsThese findings suggest that the reward and motivation circuits may be a factor regulating energy balance and influencing the degree of obesity.

Indexed as

Obesity, MorbidRadiopharmaceuticalsBody Mass IndexBrainFluorodeoxyglucose F18GlucoseHumansMotivationPositron-Emission TomographyRewardFluorodeoxyglucose F18GlucoseRadiopharmaceuticals

Identifiers

PMID36321272
PMCPMC9828716
OpenAlexW4307862345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.