Evidence map›Paper›PMID 32766449›Full record

ArticleScience advances2020

Enabling the assessment of trauma-induced hemorrhage via smart wearable systems.

Jonathan Zia, Jacob Kimball, Christopher Rolfes, Jin-Oh Hahn, Omer T Inan

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Synthetic seismocardiogram generation using a transformer-based neural network.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. 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

5 authors at 3 institutions in 1 country.

Jonathan ZiaDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-1567-4895
Jacob KimballDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-3241-6823
Christopher RolfesTranslational Training and Testing Laboratories Inc., Atlanta, GA 30313, USA.ORCID 0000-0003-2200-331X
Jin-Oh HahnDepartment of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0001-5429-2836
Omer T InanDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Georgia Institute of Technology · USAID Atlanta · USUniversity of Maryland, College Park · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
NIGMS NIH HHS T32 GM008169
6 · The paper itself

Abstract

As the leading cause of trauma-related mortality, blood loss due to hemorrhage is notoriously difficult to triage and manage. To enable timely and appropriate care for patients with trauma, this work elucidates the externally measurable physiological features of exsanguination, which were used to develop a globalized model for assessing blood volume status (BVS) or the relative severity of blood loss. These features were captured via both a multimodal wearable system and a catheter-based reference and used to accurately infer BVS in a porcine model of hemorrhage (

Identifiers

PMID32766449
PMCPMC7375804
OpenAlexW3043956964

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.