Evidence map›Paper›PMID 25472935›Full record

ReviewJournal of cardiovascular translational research2015

Genetic determinants of arterial stiffness.

Jeongok G Logan, Mary B Engler, Hyungsuk Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Arteriosclerosis: A Primer for "In Focus" Reviews on Arterial Stiffness.Arteriosclerosis, thrombosis, and vascular biology · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors at 2 institutions in 1 country.

Jeongok G LoganSchool of Nursing, University of Virginia, 225 Jeanette Lancaster Way, Charlottesville, VA, 22903-3388, USA, jl3zj@virginia.edu.
Mary B Engler
Hyungsuk Kim
National Institutes of Health · USUniversity of Virginia · US

Funding

Genomic Approaches for Elucidating Novel Targets for Pain and Symptom ManagementZIANR000015 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI KIM, HYUNG SUK · 2009 to 2021
$20.2M
6 · The paper itself

Abstract

Stiffness of large arteries (called arteriosclerosis) is an independent predictor of cardiovascular morbidity and mortality. Although previous studies have shown that arterial stiffness is moderately heritable, genetic factors contributing to arterial stiffness are largely unknown. In this paper, we reviewed the available literature on genetic variants that are potentially related to arterial stiffness. Most variants have shown mixed depictions of their association with arterial stiffness across multiple studies. Various methods to measure arterial stiffness at different arterial sites can contribute to these inconsistent results. In addition, studies in patient populations with hypertension or atherosclerosis may overestimate the impact of genetic variants on arterial stiffness. Future studies are recommended to standardize current measures of arterial stiffness in different age groups. Studies conducted in normal healthy subjects may also provide better opportunities to find novel genetic variants of arterial stiffness.

Indexed as

Polymorphism, GeneticAnimalsArteriosclerosisGenetic MarkersGenetic Predisposition to DiseaseHumansPhenotypePredictive Value of TestsPulse Wave AnalysisReproducibility of ResultsRisk FactorsVascular StiffnessGenetic Markers

Identifiers

PMID25472935
OpenAlexW2040927788

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.