Evidence map›Paper›PMID 32493714›Full record

ArticleDiabetes2020

Phenotypic and Genetic Characterization of Lower LDL Cholesterol and Increased Type 2 Diabetes Risk in the UK Biobank.

Yann C Klimentidis, Amit Arora, Michelle Newell, Jin Zhou, Jose M Ordovas, Benjamin J Renquist, Alexis C Wood

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
10.1field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Yann C KlimentidisDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ yann@email.arizona.edu.ORCID 0000-0002-6065-4044
Amit AroraDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ.
Michelle NewellDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ.
Jin ZhouDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ.ORCID 0000-0001-7983-0274
Jose M OrdovasNutrition and Genomics Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA.ORCID 0000-0002-7581-5680
Benjamin J RenquistSchool of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ.
Alexis C WoodU.S. Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX.
University of Arizona · USChildren's Nutrition Research Center at Baylor College of Medicine · USMadrid Institute for Advanced Studies · ES

Funding

Genetics at the Interface of Lipid and Glycemic TraitsR01HL136528 · NHLBI · UNIVERSITY OF ARIZONA · PI KLIMENTIDIS, YANN CHARLES · 2018 to 2020
$1.1M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL136528
6 · The paper itself

Abstract

Although hyperlipidemia is traditionally considered a risk factor for type 2 diabetes (T2D), evidence has emerged from statin trials and candidate gene investigations suggesting that lower LDL cholesterol (LDL-C) increases T2D risk. We thus sought to more comprehensively examine the phenotypic and genotypic relationships of LDL-C with T2D. Using data from the UK Biobank, we found that levels of circulating LDL-C were negatively associated with T2D prevalence (odds ratio 0.41 [95% CI 0.39, 0.43] per mmol/L unit of LDL-C), despite positive associations of circulating LDL-C with HbA

Indexed as

Biological Specimen BanksCholesterol, LDLDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenotypeHumansOdds RatioPhenotypeRisk FactorsCholesterol, LDL

Identifiers

PMID32493714
PMCPMC7506834
OpenAlexW3029294297

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.