Evidence map›Paper›PMID 34604613›Full record

ReviewACS omega2021

Microfluidics-Integrated Sensors toward Rapid Detection of Single Nucleotide Variations.

Marziyeh Hajialyani, Leila Hosseinzadeh, Jie Jayne Wu

Abstract readReview
In one paragraph

Review in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Marziyeh HajialyaniDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee 37996-4519, United States.ORCID https://orcid.org/0000-0003-4323-0466
Leila HosseinzadehPharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, 6715847141 Kermanshah, Iran.ORCID https://orcid.org/0000-0003-0536-3209
Jie Jayne WuDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee 37996-4519, United States.ORCID https://orcid.org/0000-0001-5143-9425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of single nucleotide variations (SNVs) is of critical importance to early diagnosis of several diseases and the prediction of diverse responses to a specific treatment. Based on the information published in the literature, discrimination of SNVs is a developing area of study with great research enthusiasm and is also an area that can benefit from microfluidics-integrated designs. This review provides a brief overview of different microfluidics-based strategies for rapid detection of SNVs and mismatched bases. Sensors based on various microfluidic formats, such as paper-based microfluidic biosensors, droplet-based microfluidic systems, and magnetic bead-based microfluidic biosensors, have been discussed with respect to their specific pros and cons for SNV detection. These systems have shown promise for distributed on-site diagnostics in personalized medicine.

Identifiers

PMID34604613
PMCPMC8482391

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.