Evidence map›Paper›PMID 37582184›Full record

ArticleAdipocyte2023

A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes.

Adrian Heald, Rui Qin, Camila M Loureiro, Richard Williams, Chloe Devaney Dopson, J Martin Gibson, Ram Prakash Narayanan, Helene Fachim, Kevin McCay, William Ollier

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

Article in Adipocyte, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 7 institutions in 2 countries.

Adrian HealdDepartment of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
Rui QinThe School of Medicine and Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.
Camila M LoureiroDepartment of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Sao Paulo, Brazil.
Richard WilliamsDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Chloe Devaney DopsonDepartment of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
J Martin GibsonDepartment of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
Ram Prakash NarayananSt Helens and Knowsley Hospitals NHS Trust, St Helens Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
Helene FachimDepartment of Endocrinology and Diabetes, Salford Royal Hospital, Salford, UK.
Kevin McCayNIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.
William OllierNIHR Greater Manchester Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.
University of Manchester · GBSalford Royal Hospital · GBManchester Academic Health Science Centre · GBManchester Metropolitan University · GBNIHR Manchester Biomedical Research Centre · GBUniversidade de São Paulo · BRUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeight change is often seen in people with diabetes. We investigated the effects of genes associated with weight change/glucose handling/insulin-signalling. MATERIALS/

methodsDNA from diabetes individuals and non-diabetes individuals, plus clinical data, were available from the DARE study (

resultsNo differences in genotype distributions were observed for the four SNPs in all groups un-stratified by weight gain. Following stratification differences in genotype distribution were observed. For those BMI relatively stable; controls showed a difference in genotype distributions versus T1D (

conclusionDifferences in allele frequency were seen between diabetes individuals and non-diabetes diagnosed at baseline in relation to the likelihood of BMI increase of >10%. It is established that the G allele of

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideWeight GainalleleBMI changediabetesgenomeweight change

Identifiers

PMID37582184
PMCPMC10431742
OpenAlexW4385829685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.