Evidence map›Paper›PMID 30245056›Full record

ArticleEBioMedicine2018

Smartphone-based pathogen diagnosis in urinary sepsis patients.

Lucien Barnes, Douglas M Heithoff, Scott P Mahan, Gary N Fox, Andrea Zambrano, Jane Choe, Lynn N Fitzgibbons, Jamey D Marth, Jeffrey C Fried, H Tom Soh and 1 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Article
  3. 2024 Canadian Urological Association guideline: Female stress urinary incontinence.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Modern Tools for Rapid Diagnostics of Antimicrobial Resistance.Frontiers in cellular and infection microbiology · 2020
    Review
  13. Article
  14. Mobile Microfluidics.Bioengineering (Basel, Switzerland) · 2019
    Review
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Lucien BarnesDepartment of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA.
Douglas M HeithoffDepartment of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA.
Scott P MahanDepartment of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA.
Gary N FoxDepartment of Materials and Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.
Andrea ZambranoDepartment of Medical Education and Division of Infectious Diseases, Santa Barbara Cottage Hospital, Santa Barbara, CA 93105, USA.
Jane ChoeDepartment of Microbiology, Pacific Diagnostic Laboratories, Santa Barbara, CA 93111, USA.
Lynn N FitzgibbonsDepartment of Medical Education and Division of Infectious Diseases, Santa Barbara Cottage Hospital, Santa Barbara, CA 93105, USA.
Jamey D MarthDepartment of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA; Sanford Burnham Prebys Medical Discovery Institute, Cancer Research Center, La Jolla, CA 92037, USA.
Jeffrey C FriedDepartment of Pulmonary and Critical Care Medicine, Santa Barbara Cottage Hospital, Santa Barbara, CA 93105, USA.
H Tom SohDepartment of Electrical Engineering and Department of Radiology, Stanford University, Stanford, CA 94305, USA. Electronic address: tsoh@stanford.edu.
Michael J MahanDepartment of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA. Electronic address: michael.mahan@lifesci.ucsb.edu.
University of California, Santa Barbara · USSanta Barbara Cottage Hospital · USStanford University · US

Funding

Protein Glycosylation in the Coagulopathy and Inflammation of SepsisP01HL131474 · NHLBI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI MARTH, JAMEY · 2016 to 2025
$26.2M
NHLBI NIH HHS P01 HL131474
6 · The paper itself

Abstract

backgroundThere is an urgent need for rapid, sensitive, and affordable diagnostics for microbial infections at the point-of-care. Although a number of innovative systems have been reported that transform mobile phones into potential diagnostic tools, the translational challenge to clinical diagnostics remains a significant hurdle to overcome.

methodsA smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) system was developed for pathogen ID in urinary sepsis patients. The free, custom-built mobile phone app allows the phone to serve as a stand-alone device for quantitative diagnostics, allowing the determination of genome copy-number of bacterial pathogens in real time.

findingsA head-to-head comparative bacterial analysis of urine from sepsis patients revealed that the performance of smaRT-LAMP matched that of clinical diagnostics at the admitting hospital in a fraction of the time (~1 h vs. 18-28 h). Among patients with bacteremic complications of their urinary sepsis, pathogen ID from the urine matched that from the blood - potentially allowing pathogen diagnosis shortly after hospital admission. Additionally, smaRT-LAMP did not exhibit false positives in sepsis patients with clinically negative urine cultures.

interpretationThe smaRT-LAMP system is effective against diverse Gram-negative and -positive pathogens and biological specimens, costs less than $100 US to fabricate (in addition to the smartphone), and is configurable for the simultaneous detection of multiple pathogens. SmaRT-LAMP thus offers the potential to deliver rapid diagnosis and treatment of urinary tract infections and urinary sepsis with a simple test that can be performed at low cost at the point-of-care. FUND: National Institutes of Health, Chan-Zuckerberg Biohub, Bill and Melinda Gates Foundation.

Indexed as

SmartphoneAnimalsDisease Models, AnimalHumansMiceNucleic Acid Amplification TechniquesPoint-of-Care SystemsReproducibility of ResultsSensitivity and SpecificitySepsisUrinalysisUrinary Tract InfectionsSmartphone-based pathogen diagnosisUrinary diagnostic testUrinary sepsisUrinary tract infection

Identifiers

PMID30245056
PMCPMC6197494
OpenAlexW2892005390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.