Evidence map›Paper›PMID 31295917›Full record

ArticleMicromachines2019

Sheathless High-Throughput Circulating Tumor Cell Separation Using Viscoelastic non-Newtonian Fluid.

Hyunjung Lim, Seung Min Back, Min Ho Hwang, Dae-Hee Lee, Hyuk Choi, Jeonghun Nam

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Application of Microfluidics in Detection of Circulating Tumor Cells.Frontiers in bioengineering and biotechnology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

6 authors.

Hyunjung LimDepartment of Medical Sciences, Graduate School of Medicine, Korea University, Seoul 02841, Korea.
Seung Min BackDepartment of Medical Sciences, Graduate School of Medicine, Korea University, Seoul 02841, Korea.
Min Ho HwangDepartment of Medical Sciences, Graduate School of Medicine, Korea University, Seoul 02841, Korea.
Dae-Hee LeeGraduate School of Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Hyuk ChoiDepartment of Medical Sciences, Graduate School of Medicine, Korea University, Seoul 02841, Korea. hyuk76@korea.ac.kr.
Jeonghun NamDepartment of Laboratory Medicine, College of Medicine, Korea University Guro Hospital, Korea University, Seoul 08308, Korea. jhnam77@gmail.com.

Funding

National Research Foundation of Korea 2017R1D1A1A09000962
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) have attracted increasing attention as important biomarkers for clinical and biological applications. Several microfluidic approaches have been demonstrated to separate CTCs using immunoaffinity or size difference from other blood cells. This study demonstrates a sheathless, high-throughput separation of CTCs from white blood cells (WBCs) using a viscoelastic fluid. To determine the fluid viscoelasticity and the flow rate for CTC separation, and to validate the device performance, flow characteristics of 6, 13, and 27 μm particles in viscoelastic fluids with various concentrations were estimated at different flow rates. Using 0.2% hyaluronic acid (HA) solution, MCF-7 (Michigan Cancer Foundation-7) cells mimicking CTCs in this study were successfully separated from WBCs at 500 μL/min with a separation efficiency of 94.8%. Small amounts of MCF-7 cells (~5.2%) were found at the center outlet due to the size overlap with WBCs.

Indexed as

circulating tumor cellhigh-throughputseparationsheathlessviscoelastic fluidwhite blood cell

Identifiers

PMID31295917
PMCPMC6680956

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.