Evidence map›Paper›PMID 31080939›Full record

ArticleACS omega2019

Microfluidic Chip for Detection of Fungal Infections.

Waseem Asghar, Mazhar Sher, Nida S Khan, Jatin M Vyas, Utkan Demirci

Abstract read
In one paragraph

Article in ACS omega, 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.

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  20. Microfluidics combined with fluorescenceFrontiers in bioengineering and biotechnology · 2022
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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.

Waseem AsgharAshgar Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, Florida 33431, United States.
Mazhar SherAshgar Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, Florida 33431, United States.
Nida S KhanDivision of Infectious Disease, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts 02115, United States.
Jatin M VyasDivision of Infectious Disease, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts 02115, United States.
Utkan DemirciBio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, California 94305, United States.

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Development of disposable and refrigeration-free microchip technology for CD4+ T cell counting at point-of-care settingsR15AI127214 · NIAID · FLORIDA ATLANTIC UNIVERSITY · PI ASGHAR, WASEEM · 2016 to 2016
$460k
NIAID NIH HHS R15 AI127214NIBIB NIH HHS U54 EB015408
6 · The paper itself

Abstract

Fungal infections can lead to severe clinical outcomes such as multiple organ failure and septic shock. Rapid detection of fungal infections allows clinicians to treat patients in a timely manner and improves clinical outcomes. Conventional detection methods include blood culture followed by plate culture and polymerase chain reaction. These methods are time-consuming and require expensive equipment, hence, they are not suitable for point-of-care and clinical settings. There is an unmet need to develop a rapid and inexpensive detection method for fungal infections such as candidemia. We developed an innovative immuno-based microfluidic device that can rapidly detect and capture

Identifiers

PMID31080939
PMCPMC6504191

What OpenQuestion holds

Textmetadata
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.