Evidence map›Paper›PMID 34458653›Full record

ArticleCurrent opinion in biomedical engineering2021

Recent Advancements in Biosensing Approaches for Screening and Diagnostic Applications.

Andrew C Murphy, Marissa E Wechsler, Nicholas A Peppas

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  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

3 authors.

Andrew C MurphyDepartment of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.
Marissa E WechslerDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Nicholas A PeppasDepartment of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA.

Funding

Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NIBIB NIH HHS R01 EB022025
6 · The paper itself

Abstract

Recent advancements in molecular recognition have provided additional diagnostic and treatment approaches for multiple diseases, including autoimmune disorders and cancers. Research investigating how the composition of biological fluids is altered during disease progression, including differences in the expression of the small molecules, proteins, RNAs, and other components present in patient tears, saliva, blood, urine, or other fluids, has provided a wealth of potential candidates for early disease screening; however, adoption of biomarker screening into clinical settings has been challenged by the need for more robust, low-cost, and high-throughput assays. This review examines current approaches in molecular recognition and biosensing for the quantification of biomarkers for disease screening and diagnostic outcomes.

Indexed as

Biosensingdifferential sensinghydrogelslocalized surface plasmon resonancemolecular recognition

Identifiers

PMID34458653
PMCPMC8389739

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.