Evidence map›Paper›PMID 34672391›Full record

ArticleGenetic epidemiology2022

Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.

Christopher Grace, Jemma C Hopewell, Hugh Watkins, Martin Farrall, Anuj Goel

Open access · hybridAbstract read
In one paragraph

Article in Genetic epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Christopher GraceDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-8082-7504
Jemma C HopewellNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-3870-8018
Hugh WatkinsDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-5287-9016
Martin FarrallDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Anuj GoelDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0003-2307-4021
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

British Heart Foundation FS/14/55/30806British Heart Foundation RE/13/1/30181British Heart Foundation SP/19/2/34462Cancer Research UK 16896Wellcome TrustWellcome Trust 090532/Z/09/ZWellcome Trust 201543/B/16/ZWellcome Trust 203141/Z/16/Z
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is an important heritable risk factor for coronary artery disease (CAD), the risk of both diseases being increased by metabolic syndrome (MS). With the availability of large-scale genome-wide association data, we aimed to elucidate the genetic burden of CAD risk in T2D predisposed individuals within the context of MS and their shared genetic architecture. Mendelian randomization (MR) analyses supported a causal relationship between T2D and CAD [odds ratio (OR) = 1.13 per log-odds unit 95% confidence interval (CI): 1.10-1.16; p = 1.59 × 10

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Bayes TheoremGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsgeneticsMendelian randomizationmetabolic syndrome

Identifiers

PMID34672391
PMCPMC8983061
OpenAlexW3207196436

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.