Evidence map›Paper›PMID 33800088›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Improved Influenza Diagnostics through Thermal Contrast Amplification.

Yilin Liu, Li Zhan, Yiru Wang, Joseph Kangas, Daniel Larkin, David R Boulware, John C Bischof

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  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

7 authors at 2 institutions in 1 country.

Yilin LiuDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.ORCID 0000-0002-8521-8943
Li ZhanDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.
Yiru WangDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.
Joseph KangasDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.
Daniel LarkinHealthEast Grand Avenue Clinic, St. Paul, MN 55105, USA.
David R BoulwareDepartment of Medicine, Division of Infectious Diseases and International Medicine, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.ORCID 0000-0002-4715-0060
John C BischofDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA.
University of Minnesota · USHealthEast Care System · US

Funding

Vastly improved influenza diagnostics through the development of a handheld thermal contrast readerR41NR017825 · NINR · VIGILANT DIAGNOSTICS, LLC · PI BISCHOF, JOHN C · 2017 to 2017
$301k
NIH HHS NIH R41NR017825NINR NIH HHS R41 NR017825
6 · The paper itself

Abstract

Influenza poses a serious health threat and creates an economic burden for people around the world. The accurate diagnosis of influenza is critical to the timely clinical treatment of patients and the control of outbreaks to protect public health. Commercially available rapid influenza diagnostic tests (RIDTs) that are operated by visual readout are widely used in clinics to screen influenza infections, but RIDTs suffer from imperfect analytical sensitivity, especially when the virus concentration in the sample is low. Fortunately, the sensitivity can be simply improved through an add-on signal amplification step, i.e., thermal contrast amplification (TCA). To demonstrate the advantage of TCA for influenza diagnosis, we conducted a prospective cohort study on 345 clinical specimens collected for influenza A and B testing during the 2017-2018 influenza season. All samples were tested using the Quidel QuickVue Influenza A + B test, followed by a TCA readout, and then confirmatory polymerase chain reaction testing. Through the TCA detecting sub-visual weak positives, TCA reading improved the overall influenza sensitivity by 53% for influenza A and 33% for influenza B over the visual RIDTs readings. Even though the specificity was compromised slightly by the TCA protocol (relative decrease of 0.09% for influenza A and 0.01% for influenza B), the overall performance was still better than that achieved by visual readout based on comparison of their plots in receiver operating characteristic space and F1 scores (relative increase of 14.5% for influenza A and 12.5% for influenza B). Performing a TCA readout on wet RIDTs also improved the overall TCA performance (relative increase in F1 score of 48%). Overall, the TCA method is a simple and promising way to improve the diagnostic performance of commercial RIDTs for infectious diseases, especially in the case of specimens with low target analytes.

Indexed as

influenzapoint-of-carerapid diagnostic testthermal contrast amplification

Identifiers

PMID33800088
PMCPMC7999055
OpenAlexW3135418527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.