Evidence map›Paper›PMID 33125266›Full record

ArticleCirculation. Genomic and precision medicine2020

Comprehensive Investigation of Circulating Biomarkers and Their Causal Role in Atherosclerosis-Related Risk Factors and Clinical Events.

Daniela Zanetti, Stefan Gustafsson, Themistocles L Assimes, Erik Ingelsson

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Observational
  14. Article
  15. Review
  16. 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

4 authors at 2 institutions in 2 countries.

Daniela ZanettiDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (D.Z., T.L.A., E.I.).
Stefan GustafssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Sweden (S.G.).
Themistocles L AssimesDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (D.Z., T.L.A., E.I.).
Erik IngelssonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (D.Z., T.L.A., E.I.).
Cardiovascular Institute of the South · USScience for Life Laboratory · SE

Funding

Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Causal associations of circulating biomarkers with cardiovascular diseaseR01HL135313 · NHLBI · STANFORD UNIVERSITY · PI INGELSSON, ERIK · 2017 to 2019
$1.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL135313NIDDK NIH HHS R01 DK106236
6 · The paper itself

Abstract

backgroundCirculating biomarkers have been previously associated with atherosclerosis-related risk factors, but the nature of these associations is incompletely understood.

methodsWe performed multivariable-adjusted regressions and 2-sample Mendelian randomization analyses to assess observational and causal associations of 27 circulating biomarkers with 7 cardiovascular traits in up to 451 933 participants of the UK Biobank.

resultsAfter multiple-testing correction (alpha=1.3×10

conclusionsWe confirmed and extended known associations and reported several novel causal associations providing important insights about the cause of these diseases, which can help accelerate new prevention strategies.

Indexed as

AtherosclerosisBiological Specimen BanksBiomarkersBlood GlucoseFemaleHumansLipidsMaleMendelian Randomization AnalysisMiddle AgedMultivariate AnalysisRisk FactorsUnited KingdomBiomarkersBlood GlucoseLipidsblood pressurecardiovascular diseasecoronary artery diseasediabetes mellitus, type 2risk factors

Identifiers

PMID33125266
PMCPMC8202726
OpenAlexW3094962201

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.