Evidence map›Paper›PMID 30896928›Full record

ArticleAnalytical chemistry2019

Rapid Diagnostic Platform for Colorimetric Differential Detection of Dengue and Chikungunya Viral Infections.

Ruisheng Wang, Serge Y Ongagna-Yhombi, Zhengda Lu, Elizabeth Centeno-Tablante, Susannah Colt, Xiangkun Cao, Yue Ren, Washington B Cárdenas, Saurabh Mehta, David Erickson

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Optofluidic Amplification-free Multiplex Detection of Viral Hemorrhagic Fevers.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
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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

10 authors.

Ruisheng WangMeinig School of Biomedical Engineering , Cornell University , Ithaca , New York 14853 , United States.ORCID 0000-0003-4433-5649
Serge Y Ongagna-YhombiSibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.
Zhengda LuSibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.
Elizabeth Centeno-TablanteDivision of Nutritional Sciences , Cornell University , Ithaca , New York 14853 , United States.
Susannah ColtDivision of Nutritional Sciences , Cornell University , Ithaca , New York 14853 , United States.
Xiangkun CaoSibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.ORCID 0000-0001-8601-6588
Yue RenSibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.
Washington B CárdenasEscuela Superior Politécnica del Litoral (ESPOL) , Guayaquil , Guayas 090902 , Ecuador.
Saurabh MehtaDivision of Nutritional Sciences , Cornell University , Ithaca , New York 14853 , United States.
David EricksonSibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
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
NCATS NIH HHS UL1 TR002384NIBIB NIH HHS R01 EB021331
6 · The paper itself

Abstract

In this work, we demonstrate a rapid diagnostic platform with potential to transform clinical diagnosis of acute febrile illnesses in resource-limited settings. Acute febrile illnesses such as dengue and chikungunya, which pose high burdens of disease in tropical regions, share many nonspecific symptoms and are difficult to diagnose based on clinical history alone in the absence of accessible laboratory diagnostics. Through a unique color-mixing encoding and readout strategy, our platform enabled consistent and accurate multiplexed detection of dengue and chikungunya IgM/IgG antibodies in human clinical samples within 30 min. Our multiplex assay offers several advantages over conventional rapid diagnostic tests deployed in resource-limited settings, including a low sample volume requirement and the ability to concurrently detect four analytes. Our platform is a step toward multiplexed diagnostics that will be transformative for disease management in resource-limited settings by enabling informed treatment decisions through accessible evidence-based diagnosis.

Indexed as

ColorimetryChikungunya FeverDengueHumansImmunoglobulin GImmunoglobulin MParticle SizeSurface PropertiesImmunoglobulin GImmunoglobulin M

Identifiers

PMID30896928
PMCPMC7719054

What OpenQuestion holds

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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.