Evidence map›Paper›PMID 27288269›Full record

ReviewAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2016

Systematic Molecular Phenotyping: A Path Toward Precision Emergency Medicine?

Alexander T Limkakeng, Andrew A Monte, Christopher Kabrhel, Michael Puskarich, Laura Heitsch, Ephraim L Tsalik, Nathan I Shapiro

Abstract readCase ReportsReview
In one paragraph

Review in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Precision medicine: Uses and challenges.Medical journal, Armed Forces India · 2021
    Review
  9. Review
  10. Article
  11. Review
  12. The Emergency Medicine Specimen Bank: An Innovative Approach To Biobanking In Acute Care.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2019
    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

7 authors.

Alexander T LimkakengThe Division of Emergency Medicine, Duke University, Durham, NC. alexander.limkakeng@duke.edu.
Andrew A MonteThe Department of Emergency Medicine, Division of Medical Toxicology, University of Colorado-Denver, Aurora, CO.
Christopher KabrhelThe Department of Emergency Medicine, Center for Vascular Emergencies, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Michael PuskarichThe Department of Emergency Medicine, University of Mississippi, Jackson, MS.
Laura HeitschThe Department of Emergency Medicine, Washington University, St. Louis, MO.
Ephraim L TsalikThe Emergency Medicine Service, Durham Veteran's Affairs Medical Center, Durham, NC.
Nathan I ShapiroThe Department of Emergency Medicine and Center for Vascular Biology Research, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA.

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Genetic and Environmental Risk Factors for Venous ThromboembolismR01HL116854 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KABRHEL, CHRISTOPHER · 2013 to 2017
$3.4M
Platelet activation in septic shockK23GM113041 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI PUSKARICH, MICHAEL A. · 2015 to 2018
$763k
An Integrated Approach to Personalized MedicineK23GM110516 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI MONTE, ANDREW ALBERT · 2014 to 2016
$588k
NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001425NHLBI NIH HHS R01 HL116854NIGMS NIH HHS K23 GM110516NIGMS NIH HHS K23 GM113041
6 · The paper itself

Abstract

Precision medicine is an emerging approach to disease treatment and prevention that considers variability in patient genes, environment, and lifestyle. However, little has been written about how such research impacts emergency care. Recent advances in analytical techniques have made it possible to characterize patients in a more comprehensive and sophisticated fashion at the molecular level, promising highly individualized diagnosis and treatment. Among these techniques are various systematic molecular phenotyping analyses (e.g., genomics, transcriptomics, proteomics, and metabolomics). Although a number of emergency physicians use such techniques in their research, widespread discussion of these approaches has been lacking in the emergency care literature and many emergency physicians may be unfamiliar with them. In this article, we briefly review the underpinnings of such studies, note how they already impact acute care, discuss areas in which they might soon be applied, and identify challenges in translation to the emergency department (ED). While such techniques hold much promise, it is unclear whether the obstacles to translating their findings to the ED will be overcome in the near future. Such obstacles include validation, cost, turnaround time, user interface, decision support, standardization, and adoption by end-users.

Indexed as

AdultBiomarkersEmergency MedicineEmergency Service, HospitalHumansMaleMetabolomicsPhenotypePrecision MedicineBiomarkers

Identifiers

PMID27288269
PMCPMC5055430

What OpenQuestion holds

Textmetadata
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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.