Evidence map›Paper›PMID 34612619›Full record

ReviewAccounts of chemical research2021

Strategies for Engineering Affordable Technologies for Point-of-Care Diagnostics of Infectious Diseases.

Marjon Zamani, Ariel L Furst, Catherine M Klapperich

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Article
  3. Review
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  6. Article
  7. Article
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  9. Review
  10. Article
  11. Mimicking anbioRxiv : the preprint server for biology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Marjon ZamaniDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Ariel L FurstDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID 0000-0001-9583-9703
Catherine M KlapperichDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.ORCID 0000-0001-6103-849X

Funding

Novel Biosensors based on Mining Bacterial Transcription FactorsR01EB029795 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GALAGAN, JAMES E, KLAPPERICH, CATHERINE M. · 2020 to 2024
$2.6M
NIBIB NIH HHS R01 EB029795
6 · The paper itself

Abstract

Disease prevalence is highest in low-resource settings (LRS) due to the lack of funds, infrastructure, and personnel required to carry out laboratory-based molecular tests. In high-resource settings, gold-standard molecular tests for diseases consist of nucleic acid amplification tests (NAATs) due to their excellent sensitivity and specificity. These tests require the extraction, amplification, and detection of nucleic acids from clinical samples. In high-resource settings, all three of these steps require highly specialized, costly, and onerous equipment that cannot be used in LRS. Nucleic acid extraction involves multiple centrifugation steps. Amplification consists of the polymerase chain reaction (PCR), which requires thermal cyclers. The detection of amplified DNA is typically done with specialized thermal cyclers that are capable of fluorescence detection. Traditional methods used to extract, amplify, and detect nucleic acids cannot be used outside of a laboratory in LRS. Thus, there is a need for affordable point-of-care devices to ease the high burden of disease in LRS.The past decade of work on paper-based fluidic devices has resulted in the invention of many paper-based biosensors for disease detection as well as isothermal amplification techniques that replace PCR. However, a challenge still remains in detecting pathogenic biomarkers from complex human samples without specialized laboratory equipment. Our research has focused on the development of affordable technologies to extract and detect nucleic acids in clinical samples with minimal equipment. Here we describe methods for the paper-based extraction, amplification, and detection of nucleic acids. This Account provides an overview of our latest technologies developed to detect an array of diseases in low-resource settings. We focus on detecting nucleic acids of H1N1,

Indexed as

Nucleic Acid Amplification TechniquesPoint-of-Care TestingPolymerase Chain ReactionCommunicable DiseasesHumans

Identifiers

PMID34612619
PMCPMC8996141

What OpenQuestion holds

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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.