Evidence map›Paper›PMID 34079919›Full record

ArticleCurrent opinion in biomedical engineering2019

Diagnosis of acute serious illness: the role of point-of-care technologies.

Gregory L Damhorst, Erika A Tyburski, Oliver Brand, Greg S Martin, Wilbur A Lam

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2019. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Gregory L DamhorstDepartment of Medicine, Emory University, Atlanta, GA, USA.
Erika A TyburskiInstitute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, USA.
Oliver BrandInstitute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, USA.
Greg S MartinThe Atlanta Center for Microsystems-Engineered Point-of-Care Technologies, Atlanta, GA, USA.
Wilbur A LamInstitute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI Wilbur A Lam · 2018 to 2026
$96.1M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Non-invasive quantitative hemoglobin self-monitoring using only smartphone images for chronic anemia patientsR21EB025646 · NIBIB · EMORY UNIVERSITY · PI CLIFFORD, GARI DAVID, LAM, WILBUR A · 2018 to 2019
$553k
NCATS NIH HHS UL1 TR002378NIBIB NIH HHS R21 EB025646NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

Access to rapid diagnostic information is a core value of point-of-care (POC) technology. This is particularly relevant in acute, emergency, and critical care settings where diagnostic speed and precision directly guide the management of patients with potentially life-threatening conditions. Many POC diagnostics described in the literature, however, remain largely unproven and have yet to enter the market entirely. Only a few have traversed the translation and commercialization pathways to reach widespread clinical adoption. Moreover, even technologies that have successfully translated to the patient bedside still frequently lack an evidence base showing improvement of clinical outcomes. In this review, we present aspects of diagnosis of acute life-threatening diseases and describe the potential role of POC technologies, emphasizing the available evidence of clinical outcomes. Finally, we discuss what is needed to identify clinically meaningful new technologies and translate them toward the long-promised goal of better health through rapid POC diagnosis.

Indexed as

Acute careCritical careDiagnosticsMicrosystemsOutcomesPoint-of-care

Identifiers

PMID34079919
PMCPMC8168915

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Registered trials

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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.