Evidence map›Paper›PMID 29686024›Full record

ArticleStroke2018

Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis.

Junfeng Liu, Loes Rutten-Jacobs, Ming Liu, Hugh S Markus, Matthew Traylor

Open access · greenAbstract read
In one paragraph

Article in Stroke, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 6 pooled it
7.8field-weighted citation impact, top 2% 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

73 citing papers in PubMed, 6 syntheses or guidelines pooled it, 122 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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 2 countries.

Junfeng LiuFrom the Stroke Clinical Research Unit, Department of Neurology, West China Hospital, Sichuan University, Chengdu, P. R. China (J.L., M.L.).
Loes Rutten-JacobsDepartment of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (J.L., L.R.-J., H.S.M., M.T.).
Ming LiuFrom the Stroke Clinical Research Unit, Department of Neurology, West China Hospital, Sichuan University, Chengdu, P. R. China (J.L., M.L.).
Hugh S MarkusDepartment of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (J.L., L.R.-J., H.S.M., M.T.).
Matthew TraylorDepartment of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (J.L., L.R.-J., H.S.M., M.T.) mt628@medschl.cam.ac.uk.
University of Cambridge · GBWest China Hospital of Sichuan University · CN

Funding

The NINDS International Stroke Genetics Consortium StudyU01NS069208 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI KITTNER, STEVEN J · 2010 to 2013
$9.4M
British Heart Foundation RG/16/4/32218Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NINDS NIH HHS U01 NS069208Wellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/ZWellcome Trust WT072952Wellcome Trust WT084724MA
6 · The paper itself

Abstract

background and purposeThe relationship between type 2 diabetes mellitus (T2D) and cerebral small vessel disease (CSVD) is unclear. We aimed to examine the causal effect of T2D, fasting glucose levels, and higher insulin resistance on CSVD using Mendelian randomization.

methodsFive CSVD phenotypes were studied; 2 were clinical outcomes associated with CSVD (lacunar stroke: n=2191/27 297 and intracerebral hemorrhage [ICH]: n=2254/8195 [deep and lobar ICH]), whereas 3 were radiological markers of CSVD (white matter hyperintensities: n=8429; fractional anisotropy [FA]: n=8357; and mean diffusivity: n=8357). We applied 2 complementary analyses to evaluate the association of T2D with CSVD. First, we used summarized data from genome-wide association study to calculate the effects of T2D-related variants on CSVD with inverse-variance weighted and weighted median approaches. Second, we performed a genetic risk score approach to test the effects of T2D-associated variants on white matter hyperintensities, FA, and mean diffusivity using individual-level data in UK Biobank.

resultsT2D was associated with higher risk of lacunar stroke (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.04-1.28;

conclusionsOur Mendelian randomization study provides evidence to suggest that T2D may be causally associated with CSVD, in particular with lacunar stroke and FA.

Indexed as

Mendelian Randomization AnalysisAgedAged, 80 and overCerebral HemorrhageCerebral Small Vessel DiseasesDiabetes Mellitus, Type 2FemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiddle AgedRisk FactorsStroke, Lacunarcerebral small vessel diseasediabetes mellitus, type 2insulin resistanceMendelian randomization analysisstroke, lacunar

Identifiers

PMID29686024
PMCPMC5976219
OpenAlexW2800682109

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.