Evidence map›Paper›PMID 37368357›Full record

ArticleACS sensors2023

Rapid, Point-of-Care Host-Based Gene Expression Diagnostics Using Giant Magnetoresistive Biosensors.

Ana Sofia de Olazarra, Fan-En Chen, Tza-Huei Wang, Shan X Wang

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

4 authors at 2 institutions in 1 country.

Ana Sofia de OlazarraDepartment of Electrical Engineering, Stanford University, Stanford, California 94035, United States.ORCID 0000-0001-5312-6852
Fan-En ChenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-6970-4370
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0002-3540-9354
Shan X WangDepartment of Electrical Engineering, Stanford University, Stanford, California 94035, United States.
Johns Hopkins University · USStanford University · US

Funding

Streamlined 15-min HIV Viral Load Self-Testing Using Finger-Stick BloodR61AI154628 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HSIEH, YU-HSIANG, MANABE, YUKARI C · 2020 to 2022
$1.4M
NIAID NIH HHS R61 AI154628
6 · The paper itself

Abstract

Host-based gene expression analysis is a promising tool for a broad range of clinical applications, including rapid infectious disease diagnostics and real-time disease monitoring. However, the complex instrumentation requirements and slow turnaround-times associated with traditional gene expression analysis methods have hampered their widespread adoption at the point-of-care (POC). To overcome these challenges, we have developed an automated and portable platform that utilizes polymerase chain reaction (PCR) and giant magnetoresistive (GMR) biosensors to perform rapid multiplexed, targeted gene expression analysis at the POC. As proof-of-concept, we utilized our platform to amplify and measure the expression of four genes (

Indexed as

Biosensing TechniquesInfluenza, HumanGene ExpressionHumansPoint-of-Care SystemsPoint-of-Care Testinggene expressionGMR sensorsinfluenzamagnetonanosensorsPCRpoint-of-care

Identifiers

PMID37368357
PMCPMC12494490
OpenAlexW4382182029

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.