Evidence map›Paper›PMID 22715281›Full record

Trial reportCirculation. Cardiovascular genetics2012

Randomized trial of personal genomics for preventive cardiology: design and challenges.

Joshua W Knowles, Themistocles L Assimes, Michaela Kiernan, Aleksandra Pavlovic, Benjamin A Goldstein, Veronica Yank, Michael V McConnell, Devin Absher, Carlos Bustamante, Euan A Ashley and 1 more

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation. Cardiovascular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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.

NCT01406808 nacompletednot on this map

A Pilot Randomized Trial of Personal Genomics for Preventive Cardiology

TypeinterventionalSponsorStanford UniversityRan2011 to 2017Enrolled100ConditionsCoronary Artery DiseaseArmsgenetic risk score for coronary risk factors
NCT03090321 naactive not recruitingnot on this mapstarted 2015, after this paper: background citation

MyHeart Counts Cardiovascular Health Study

TypeinterventionalSponsorStanford UniversityRan2015 to 2029Enrolled2,000,000ConditionsCardiovascular HealthArmsStand Prompt, Step Prompt, Cluster Prompt, Read AHA website
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
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

11 authors.

Joshua W KnowlesDivision of Cardiovascular Medicine, Stanford University School of Medicine, CA 94305, USA. knowlej@stanford.edu
Themistocles L Assimes
Michaela Kiernan
Aleksandra Pavlovic
Benjamin A Goldstein
Veronica Yank
Michael V McConnell
Devin Absher
Carlos Bustamante
Euan A Ashley
John P A Ioannidis

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Understanding and predicting cardiac events in HD using real-time EHRsK25DK097279 · NIDDK · STANFORD UNIVERSITY · PI GOLDSTEIN, BENJAMIN ALAN · 2013 to 2017
$797k
NCATS NIH HHS UL1 TR001085NCRR NIH HHS UL1 RR025744NIDDK NIH HHS K25 DK097279
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GenomicsCardiovascular DiseasesGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotideResearch DesignRisk Factors

Identifiers

PMID22715281
PMCPMC3394683

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.