Evidence map›Paper›PMID 30724931›Full record

ReviewLab on a chip2019

Point of care technologies for sepsis diagnosis and treatment.

Taylor Oeschger, Duncan McCloskey, Varun Kopparthy, Ankur Singh, David Erickson

Abstract readReview
In one paragraph

Review in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Sepsis and the immunometabolic inflammatory response.npj metabolic health and disease · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.Journal of the American Society for Mass Spectrometry · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. 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

5 authors.

Taylor OeschgerMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
Duncan McCloskey
Varun Kopparthy
Ankur Singh
David Erickson

Funding

Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-DetectUH3CA202723 · NCI · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MARTIN, JEFFREY N · 2018 to 2021
$3.2M
FeverPhone: Point of Care Diagnosis of Acute Febrile Illness using a Mobile DeviceR01EB021331 · NIBIB · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MEHTA, SAURABH · 2016 to 2020
$3.0M
Biomaterials-based Germinal Center Niches for Understanding the B Cell Maturation and B cell receptor signalingR01AI132738 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI SINGH, ANKUR · 2018 to 2022
$1.9M
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-DetectUH2CA202723 · NCI · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MARTIN, JEFFREY N · 2016 to 2017
$999k
NCI NIH HHS UH2 CA202723NCI NIH HHS UH3 CA202723NIAID NIH HHS R01 AI132738NIBIB NIH HHS R01 EB021331
6 · The paper itself

Abstract

Sepsis is a rapidly progressing, life threatening immune response triggered by infection that affects millions worldwide each year. Current clinical diagnosis relies on broad physiological parameters and time consuming lab-based cell culture. If proper treatment is not provided, cases of sepsis can drastically increase in severity over the course of a few hours. Development of new point of care tools for sepsis has the potential to improve diagnostic speed and accuracy, leading to prompt administration of appropriate therapeutics, thereby reducing healthcare costs and improving patient outcomes. In this review we examine developing and commercially available technologies to assess the feasibility of rapid, accurate sepsis diagnosis, with emphasis on point of care.

Indexed as

Point-of-Care SystemsHumansSepsis

Identifiers

PMID30724931
PMCPMC6392004

What OpenQuestion holds

Textmetadata
LicenceTDM
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.