Evidence map›Paper›PMID 26183181›Full record

ReviewBiological research for nursing2016

High-Resolution Metabolomics: Review of the Field and Implications for Nursing Science and the Study of Preterm Birth.

Shuzhao Li, Anne L Dunlop, Dean P Jones, Elizabeth J Corwin

Abstract readReview
In one paragraph

Review in Biological research for nursing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. A Comprehensive Integrative Review of the Factors Associated with Spontaneous Preterm Birth, Its Prevention and Prediction, Including Metabolomic Markers.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Symptom Science Research in the Era of Big Data: Leveraging Interdisciplinary Resources and Partners to Make It Happen.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2019
    Review
  19. NuRsing Research in the 21st Century: R You Ready?Biological research for nursing · 2019
    Article
  20. 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

4 authors.

Shuzhao LiDepartment of Medicine, Emory University, Atlanta, GA, USA.
Anne L DunlopNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Dean P JonesDepartment of Medicine, Emory University, Atlanta, GA, USA.
Elizabeth J CorwinNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA ejcorwi@emory.edu.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
Biobehavioral Determinants of the Microbiome and Preterm Birth in Black WomenR01NR014800 · NINR · EMORY UNIVERSITY · PI CORWIN, ELIZABETH JEANNE, DUNLOP, ANNE LANG · 2013 to 2017
$2.8M
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS P30ES019776NIEHS NIH HHS T32 ES012870NIH HHS S10 OD018006NINR NIH HHS R01 NR014800NINR NIH HHS R01NR014800
6 · The paper itself

Abstract

Most complex health conditions do not have a single etiology but rather develop from exposure to multiple risk factors that interact to influence individual susceptibility. In this review, we discuss the emerging field of metabolomics as a means by which metabolic pathways underlying a disease etiology can be exposed and specific metabolites can be identified and linked, ultimately providing biomarkers for early detection of disease onset and new strategies for intervention. We present the theoretical foundation of metabolomics research, the current methods employed in its conduct, and the overlap of metabolomics research with other "omic" approaches. As an exemplar, we discuss the potential of metabolomics research in the context of deciphering the complex interactions of the maternal-fetal exposures that underlie the risk of preterm birth, a condition that accounts for substantial portions of infant morbidity and mortality and whose etiology and pathophysiology remain incompletely defined. We conclude by providing strategies for including metabolomics research in future nursing studies for the advancement of nursing science.

Indexed as

MetabolomicsBiomarkersFemaleHumansInfant, NewbornPregnancyPremature BirthRisk FactorsBiomarkersexposomemetabolomicsnursingpreterm birth

Identifiers

PMID26183181
PMCPMC4684995

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.