Evidence map›Paper›PMID 23368731›Full record

ReviewJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2013

An overview of the genomics of metabolic syndrome.

Jacquelyn Y Taylor, Aldi T Kraja, Lisa de las Fuentes, Ansley Grimes Stanfill, Ashley Clark, Ann Cashion

Open access · greenAbstract readReview
In one paragraph

Review in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Precision medicine and metabolic syndrome.ARYA atherosclerosis · 2022
    Review
  6. Transcriptome and metabolome changes induced by bitter melon (Journal of traditional and complementary medicine · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Association ofJournal of biosciences · 2019
    Article
  11. Review
  12. Article
  13. Improving -Omics-Based Research and Precision Health in Minority Populations: Recommendations for Nurse Scientists.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2018
    Review
  14. Article
  15. Article
  16. An overview of epigenetics in nursing.The Nursing clinics of North America · 2013
    Review
  17. Cardiovascular disease: the other face of diabetes.CPT: pharmacometrics & systems pharmacology · 2013
    Article
  18. Understanding Genomic Knowledge in Rural Appalachia: The West Virginia Genome Community Project.Online journal of rural nursing and health care : the official journal of the Rural Nurse Organization
    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

6 authors at 4 institutions in 1 country.

Jacquelyn Y TaylorSchool of Nursing, Yale University, New Haven, CT, USA. jacquelyn.taylor@yale.edu
Aldi T Kraja
Lisa de las Fuentes
Ansley Grimes Stanfill
Ashley Clark
Ann Cashion
University of Tennessee Health Science Center · USRobert Wood Johnson Foundation · USWashington University in St. Louis · USYale University · US

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Biomarkers to Predict Patient Outcomes and Guide TherapiesZIANR000030 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI CASHION, ANN · 2014 to 2019
$10.0M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
Genetics, Environment and Weight Gain PosttransplantR01NR009270 · NINR · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI HATHAWAY, DONNA K · 2007 to 2011
$1.7M
MYOCARDIAL FA METABOLISM GENE-GENE INTERACTIONS IN HYPERTENSIVE HEART DISEASER21HL094668 · NHLBI · WASHINGTON UNIVERSITY · PI DE LAS FUENTES, LISA · 2009 to 2010
$418k
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NCRR NIH HHS KL2 RR024994NCRR NIH HHS KL2RR024994NCRR NIH HHS UL1 RR024992NCRR NIH HHS UL1RR024992NHLBI NIH HHS R21 HL094668NHLBI NIH HHS R21HL094668NINR NIH HHS R01 NR009270NINR NIH HHS R01NR009270
6 · The paper itself

Abstract

purposeThis article provides a brief overview of the diagnostic criteria and genomic risk factors for the components of metabolic syndrome (MetS). ORGANIZING CONSTRUCTS: Contributions of cardiovascular, obesity, and diabetes genomic risk factors to the development of MetS as reported in the literature have been reviewed.

findingsThe genomic risk factors for the development of MetS are strongly linked to the genomic risk factors that make up the components of the disease. Many of the cardiovascular and renal genomic risk factors for MetS development are similar to those found in the development of hypertension and dyslipidemia. Obesity may act as a master trigger to turn on the gene expression changes necessary for the other components of the disease. Studies in the genomics of type 2 diabetes show a number of overlapping genes and polymorphisms that influence both the development of diabetes and MetS.

conclusionsAlthough health practitioners now have some insights into the genomics of risk factors associated with MetS, the overall understanding of MetS remains inadequate. Clinical applications based on some of the discussed genomic risk factors are being developed but are not yet available for the diagnosis and treatment of MetS. CLINICAL RELEVANCE: A broad knowledge of the genomic contributions to disease processes will enable the clinician to better utilize genomics to assess and tailor management of patients.

Indexed as

GenomicsCardiovascular DiseasesDiabetes Mellitus, Type 2HumansMetabolic SyndromeObesityPolymorphism, GeneticRisk Factors

Identifiers

PMID23368731
PMCPMC3594572
OpenAlexW1944679773

What OpenQuestion 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 OpenQuestion graph.