Evidence map›Paper›PMID 28252130›Full record

ArticleLab on a chip2017

An embedded barcode for "connected" malaria rapid diagnostic tests.

Thomas F Scherr, Sparsh Gupta, David W Wright, Frederick R Haselton

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Toward Smart Diagnostics in a Pandemic Scenario: COVID-19.Frontiers in bioengineering and biotechnology · 2021
    Article
  4. Deterministic droplet codingLab on a chip · 2020
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. 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

4 authors at 1 institution in 1 country.

Thomas F ScherrDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. rick.haselton@vanderbilt.edu.ORCID 0000-0002-7077-535X
Sparsh GuptaDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. rick.haselton@vanderbilt.edu.
David W WrightDepartment of Chemistry, Vanderbilt University, Nashville, TN, USA. david.wright@vanderbilt.edu.
Frederick R HaseltonDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. rick.haselton@vanderbilt.edu and Department of Chemistry, Vanderbilt University, Nashville, TN, USA. david.wright@vanderbilt.edu.ORCID 0000-0003-4282-5222
Vanderbilt University · US

Funding

Vanderbilt-Zambia Network for Innovation in Global Health TechnologiesD43TW009348 · FIC · VANDERBILT UNIVERSITY · PI HASELTON, FREDERICK R, HEIMBURGER, DOUGLAS CORBETT · 2012 to 2016
$1.7M
FIC NIH HHS D43 TW009348
6 · The paper itself

Abstract

Many countries are shifting their efforts from malaria control to disease elimination. New technologies will be necessary to meet the more stringent demands of elimination campaigns, including improved quality control of malaria diagnostic tests, as well as an improved means for communicating test results among field healthcare workers, test manufacturers, and national ministries of health. In this report, we describe and evaluate an embedded barcode within standard rapid diagnostic tests as one potential solution. This information-augmented diagnostic test operates on the familiar principles of traditional lateral flow assays and simply replaces the control line with a control grid patterned in the shape of a QR (quick response) code. After the test is processed, the QR code appears on both positive or negative tests. In this report we demonstrate how this multipurpose code can be used not only to fulfill the control line role of test validation, but also to embed test manufacturing details, serve as a trigger for image capture, enable registration for image analysis, and correct for lighting effects. An accompanying mobile phone application automatically captures an image of the test when the QR code is recognized, decodes the QR code, performs image processing to determine the concentration of the malarial biomarker histidine-rich protein 2 at the test line, and transmits the test results and QR code payload to a secure web portal. This approach blends automated, sub-nanomolar biomarker detection, with near real-time reporting to provide quality assurance data that will help to achieve malaria elimination.

Indexed as

Electronic Data ProcessingParasitologyCell PhoneHumansImage Processing, Computer-AssistedMalariaMobile ApplicationsReagent Kits, DiagnosticTime FactorsReagent Kits, Diagnostic

Identifiers

PMID28252130
PMCPMC6474256
OpenAlexW2590425075

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.