Evidence map›Paper›PMID 35056304›Full record

ReviewMicromachines2022

Microfluidic Approaches and Methods Enabling Extracellular Vesicle Isolation for Cancer Diagnostics.

Premanshu Kumar Singh, Aarti Patel, Anastasia Kaffenes, Catherine Hord, Delaney Kesterson, Shaurya Prakash

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Microrobots in Micromachines.Micromachines · 2022
    Article
  10. 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

6 authors at 2 institutions in 1 country.

Premanshu Kumar SinghDepartment of Mechanical and Aerospace Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
Aarti PatelDepartment of Biomedical Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
Anastasia KaffenesDepartment of Neuroscience, College of Arts and Sciences and College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Catherine HordCenter for Life Sciences Education, The Ohio State University, Columbus, OH 43210, USA.
Delaney KestersonCenter for Life Sciences Education, The Ohio State University, Columbus, OH 43210, USA.
Shaurya PrakashDepartment of Mechanical and Aerospace Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
The Ohio State University · USFlorida State University · US

Funding

Biophysical-based approach for controlling blood vessel structure and functionR01HL141941 · NHLBI · OHIO STATE UNIVERSITY · PI CASTRO, CARLOS E., PRAKASH, SHAURYA · 2018 to 2021
$2.0M
NIH HHS R01HL141941
6 · The paper itself

Abstract

Advances in cancer research over the past half-century have clearly determined the molecular origins of the disease. Central to the use of molecular signatures for continued progress, including rapid, reliable, and early diagnosis is the use of biomarkers. Specifically, extracellular vesicles as biomarker cargo holders have generated significant interest. However, the isolation, purification, and subsequent analysis of these extracellular vesicles remain a challenge. Technological advances driven by microfluidics-enabled devices have made the challenges for isolation of extracellular vesicles an emerging area of research with significant possibilities for use in clinical settings enabling point-of-care diagnostics for cancer. In this article, we present a tutorial review of the existing microfluidic technologies for cancer diagnostics with a focus on extracellular vesicle isolation methods.

Indexed as

cancer diagnosisexosomeextracellular vesiclesmicrofluidics

Identifiers

PMID35056304
PMCPMC8778688
OpenAlexW4206184515

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.