Evidence map›Paper›PMID 28452592›Full record

ArticleAdipocyte2017

A cellular model for the investigation of depot specific human adipocyte biology.

Marijana Todorčević, Catriona Hilton, Catriona McNeil, Constantinos Christodoulides, Leanne Hodson, Fredrik Karpe, Katherine E Pinnick

Open access · goldAbstract read
In one paragraph

Article in Adipocyte, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Distinctive Features of Orbital Adipose Tissue (OAT) in Graves' Orbitopathy.International journal of molecular sciences · 2020
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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

7 authors at 2 institutions in 1 country.

Marijana Todorčevića Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Catriona Hiltona Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Catriona McNeila Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Constantinos Christodoulidesa Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Leanne Hodsona Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Fredrik Karpea Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
Katherine E Pinnicka Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford , Oxford , UK.
University of Oxford · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GB

Funding

British Heart Foundation FS/16/45/32359British Heart Foundation PG/12/78/29862Medical Research Council G1001959
6 · The paper itself

Abstract

Upper-body adiposity is associated with increased metabolic disease risk, while lower-body adiposity is paradoxically protective. Efforts to understand the underlying mechanisms require appropriate and reproducible in vitro culture models. We have therefore generated immortalised (

Indexed as

Abdominal FatAdipocytesAdipogenesisAdipose TissueAdiposityBody Fat DistributionButtocksCell DifferentiationCell LineHumansModels, BiologicalObesitySubcutaneous Fatabdominaladipogenesisbody fat distributionglutealhuman adipose tissuepreadipocyte cell lines

Identifiers

PMID28452592
PMCPMC5358705
OpenAlexW2567812202

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.