Evidence map›Paper›PMID 28135824›Full record

ReviewBiological research for nursing2017

Primer in Genetics and Genomics, Article 2-Advancing Nursing Research With Genomic Approaches.

Hyunhwa Lee, Jessica Gill, Taura Barr, Sijung Yun, Hyungsuk Kim

Abstract readReview
In one paragraph

Review in Biological research for nursing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Hyunhwa Lee1 School of Nursing, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Jessica Gill2 National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
Taura Barr3 CereDx Inc., Morgantown, WV, USA.
Sijung Yun4 Yotta Biomed, LLC., Bethesda, MD, USA.
Hyungsuk Kim2 National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
National Institute of Nursing Research · USNational Institutes of Health · USUniversity of Nevada, Las Vegas · 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

purposeNurses investigate reasons for variable patient symptoms and responses to treatments to inform how best to improve outcomes. Genomics has the potential to guide nursing research exploring contributions to individual variability. This article is meant to serve as an introduction to the novel methods available through genomics for addressing this critical issue and includes a review of methodological considerations for selected genomic approaches. APPROACH: This review presents essential concepts in genetics and genomics that will allow readers to identify upcoming trends in genomics nursing research and improve research practice. It introduces general principles of genomic research and provides an overview of the research process. It also highlights selected nursing studies that serve as clinical examples of the use of genomic technologies. Finally, the authors provide suggestions about how to apply genomic technology in nursing research along with directions for future research.

conclusionsUsing genomic approaches in nursing research can advance the understanding of the complex pathophysiology of disease susceptibility and different patient responses to interventions. Nurses should be incorporating genomics into education, clinical practice, and research as the influence of genomics in health-care research and practice continues to grow. Nurses are also well placed to translate genomic discoveries into improved methods for patient assessment and intervention.

Indexed as

ForecastingGenomicsHumansNursing ResearchNursing Staffepigenomicsgenomicsnursing research

Identifiers

PMID28135824
PMCPMC6343213
OpenAlexW2583977367

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.