Evidence map›Paper›PMID 27702834›Full record

SynthesisDiabetes2017

Systolic Blood Pressure and Risk of Type 2 Diabetes: A Mendelian Randomization Study.

Rachael C Aikens, Wei Zhao, Danish Saleheen, Muredach P Reilly, Stephen E Epstein, Emmi Tikkanen, Veikko Salomaa, Benjamin F Voight

Abstract readMeta-Analysis
In one paragraph

Synthesis in Diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Rachael C AikensDepartment of Biology, Swarthmore College, Swarthmore, PA.
Wei ZhaoTranslational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Danish SaleheenTranslational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Muredach P ReillyCardiology Division, Department of Medicine, and the Irving Institute for Clinical and Translational Research, Columbia University, New York, NY.
Stephen E EpsteinMedStar Heart & Vascular Institute, MedStar Washington Hospital Center, Washington, DC.
Emmi TikkanenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Veikko SalomaaNational Institute for Health and Welfare, Department of Health, Helsinki, Finland.
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA bvoight@upenn.edu.

Funding

Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
NIDDK NIH HHS R01 DK101478
6 · The paper itself

Abstract

Observational studies have shown that elevated systolic blood pressure (SBP) is associated with future onset of type 2 diabetes, but whether this association is causal is not known. We applied the Mendelian randomization framework to evaluate the causal hypothesis that elevated SBP increases risk for type 2 diabetes. We used 28 genetic variants associated with SBP and evaluated their impact on type 2 diabetes using a European-centric meta-analysis comprising 37,293 case and 125,686 control subjects. We found that elevation of SBP levels by 1 mmHg due to our genetic score was associated with a 2% increase in risk of type 2 diabetes (odds ratio 1.02, 95% CI 1.01-1.03, P = 9.05 × 10

Indexed as

Blood PressureCase-Control StudiesCausalityDiabetes Mellitus, Type 2Genetic VariationHumansMendelian Randomization AnalysisOdds RatioPolymorphism, Single NucleotideRegression AnalysisRisk FactorsSystoleWhite People

Identifiers

PMID27702834
PMCPMC5248987

What OpenQuestion holds

Textmetadata
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.