Evidence map›Paper›PMID 36540122›Full record

ArticleNanoscale advances2022

Double spiral chip-embedded micro-trapezoid filters (SMT filters) for the sensitive isolation of CTCs of prostate cancer by spectral detection.

Hongmei Chen, Qingli Li, Qinghai Hu, Xiaodong Jiao, Wenjie Ren, Shuangshou Wang, Guosheng Peng

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2022. 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
0.5field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  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

7 authors at 3 institutions in 1 country.

Hongmei ChenSchool of Microelectronics and Data Science, Anhui University of Technology Maanshan 243002 P. R. China.ORCID https://orcid.org/0000-0002-1745-1065
Qingli LiShanghai Key Laboratory of Multidimensional Information Processing, East China Normal University Shanghai 200241 China qlli@cs.ecnu.edu.cn.ORCID https://orcid.org/0000-0001-5063-8801
Qinghai HuSchool of Chemistry and Chemical Engineering, Anhui University of Technology Maanshan 243002 P. R. China.
Xiaodong JiaoDepartment of Medical Oncology, Changzheng Hospital Shanghai 200070 P.R. China.
Wenjie RenShanghai Key Laboratory of Multidimensional Information Processing, East China Normal University Shanghai 200241 China qlli@cs.ecnu.edu.cn.
Shuangshou WangSchool of Chemistry and Chemical Engineering, Anhui University of Technology Maanshan 243002 P. R. China.ORCID https://orcid.org/0000-0001-5255-8530
Guosheng PengSchool of Microelectronics and Data Science, Anhui University of Technology Maanshan 243002 P. R. China.
Anhui University of Technology · CNEast China Normal University · CNShanghai Changzheng Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are cancer cells that are released from the original tumor and circulate in the blood vessels, carrying greatly similar constituents as the original tumor. Therefore, CTCs have a significant value in cancer prognosis, early diagnosis, and anti-cancer therapy. However, their rarity and heterogeneity make the isolation of CTCs an arduous task. In the present research, we propose a double spiral chip-embedded micro-trapezoid filter (SMT filter) for the sensitive isolation of the CTCs of prostate cancer by spectral detection. SMT filters were elongated to effectively capture CTCs and this distinctive design was conducive to their isolation and enrichment. The SMT filters were verified with tumor cells and artificial patient blood with a capture efficiency as high as 94% at a flow rate of 1.5 mL h

Identifiers

PMID36540122
PMCPMC9724689
OpenAlexW4312094891

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.