Evidence map›Paper›PMID 30116163›Full record

ArticleContrast media & molecular imaging2018

Assessment of the Aging of the Brown Adipose Tissue by

Zhengjie Wang, Xiaolong Xu, Yi Liu, Yongheng Gao, Fei Kang, Baohua Liu, Jing Wang

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  4. 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

7 authors at 2 institutions in 1 country.

Zhengjie WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.ORCID 0000-0003-4156-151X
Xiaolong XuDepartment of Orthopaedics, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.
Yi LiuDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.
Yongheng GaoDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.
Fei KangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.ORCID 0000-0003-0267-7819
Baohua LiuMedical Research Center (MRC), Shenzhen University Health Science Center, Shenzhen 518060, China.ORCID 0000-0002-1599-8059
Jing WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an 710032, China.ORCID 0000-0002-2781-7753
Xijing Hospital · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brown adipose tissue (BAT) is an important energy metabolic organ that is highly implicated in obesity, type 2 diabetes, and atherosclerosis. Aging is one of the most important determinants of BAT activity. In this study, we used

Indexed as

Positron Emission Tomography Computed TomographyAdipose Tissue, BrownAgingAnimalsBody WeightDisease Models, AnimalDNA-Binding ProteinsFluorodeoxyglucose F18Lamin Type AProgeriaReceptors, Adrenergic, beta-3Transcription FactorsUncoupling Protein 1Adrb3 protein, mouseDNA-Binding ProteinsFluorodeoxyglucose F18Lamin Type ALmna protein, mousePrdm16 protein, mouseReceptors, Adrenergic, beta-3Transcription FactorsUncoupling Protein 1

Identifiers

PMID30116163
PMCPMC6079616
OpenAlexW2770971791

What Socratic 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 Socratic graph.