Evidence map›Paper›PMID 29710874›Full record

ArticleJournal of personalized medicine2018

Applicability of Precision Medicine Approaches to Managing Hypertension in Rural Populations.

Jacqueline R Halladay, Kaitlin C Lenhart, Kimberly Robasky, Wendell Jones, Wayne F Homan, Doyle M Cummings, Crystal W Cené, Alan L Hinderliter, Cassandra L Miller, Katrina E Donahue and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

18 authors at 4 institutions in 1 country.

Jacqueline R HalladayDepartment of Family Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. jacqueline_halladay@med.unc.edu.
Kaitlin C LenhartMcAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. kaitlin.lenhart@gmail.com.
Kimberly RobaskyQ2 Solutions|EA Genomics, Morrisville, North Carolina. 27560, USA. krobasky@email.unc.edu.
Wendell JonesQ2 Solutions|EA Genomics, Morrisville, North Carolina. 27560, USA. Wendell.Jones@q2labsolutions.com.ORCID 0000-0002-9676-5387
Wayne F HomanDepartment of Family Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. wayne.homan@gmail.com.
Doyle M CummingsDepartment of Family Medicine, East Carolina University, Greenville, NC 27834, USA. cummingsd@ecu.edu.
Crystal W CenéCecil R. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. crystal_cene@med.unc.edu.
Alan L HinderliterDepartment of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. alan_hinderliter@med.unc.edu.
Cassandra L MillerCenter for Health Promotion and Disease Prevention at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. cassiem@email.unc.edu.
Katrina E DonahueDepartment of Family Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. katrina_donahue@med.unc.edu.
Beverly A GarciaCenter for Health Promotion and Disease Prevention at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. beverly_garcia@unc.edu.
Thomas C KeyserlingDepartment of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Thomas_Keyserling@med.unc.edu.
Alice S AmmermanCenter for Health Promotion and Disease Prevention at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. alice_ammerman@unc.edu.
Cam PattersonPresbyterian Hospital/Weill-Cornell Medical Center, New York, NY 10065, USA. cummingsd@ecu.edu.
Darren A DeWaltCecil R. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. darren_dewalt@med.unc.edu.
Larry F JohnstonCenter for Health Promotion and Disease Prevention at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. larry_johnston@unc.edu.
Monte S WillisMcAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. monte_willis@med.unc.edu.ORCID 0000-0002-0769-5816
Jonathan C SchislerMcAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. schisler@unc.edu.ORCID 0000-0001-7382-2783
University of North Carolina at Chapel Hill · USQ2 Solutions (United States) · USCornell University · USEast Carolina University · US

Funding

REDUCING DISPARITIES IN HYPERTENSION WITH A PRACTICE-BASED ENHANCED CARE PROGRAMP50HL105184 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AMMERMAN, ALICE S · 2010 to 2014
$10.1M
Myocyte Signaling and the Response to StressR37HL065619 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PATTERSON, WINSTON C · 2010 to 2019
$3.7M
ACL HHS U48DP001944NCCDPHP CDC HHS U48 DP001944NHLBI NIH HHS L30 HL104750NHLBI NIH HHS P50 HL105184NHLBI NIH HHS R37 HL065619
6 · The paper itself

Abstract

As part of the Heart Healthy Lenoir Project, we developed a practice level intervention to improve blood pressure control. The goal of this study was: (i) to determine if single nucleotide polymorphisms (SNPs) that associate with blood pressure variation, identified in large studies, are applicable to blood pressure control in subjects from a rural population; (ii) to measure the association of these SNPs with subjects' responsiveness to the hypertension intervention; and (iii) to identify other SNPs that may help understand patient-specific responses to an intervention. We used a combination of candidate SNPs and genome-wide analyses to test associations with either baseline systolic blood pressure (SBP) or change in systolic blood pressure one year after the intervention in two genetically defined ancestral groups: African Americans (AA) and Caucasian Americans (CAU). Of the 48 candidate SNPs, 13 SNPs associated with baseline SBP in our study; however, one candidate SNP, rs592582, also associated with a change in SBP after one year. Using our study data, we identified 4 and 15 additional loci that associated with a change in SBP in the AA and CAU groups, respectively. Our analysis of gene-age interactions identified genotypes associated with SBP improvement within different age groups of our populations. Moreover, our integrative analysis identified

Indexed as

GWAShypertensionprecision medicinerural populationSNP-age interaction

Identifiers

PMID29710874
PMCPMC6023309
OpenAlexW2783767089

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.