Evidence map›Paper›PMID 33114569›Full record

ReviewSensors (Basel, Switzerland)2020

Electrochemical Detection and Point-of-Care Testing for Circulating Tumor Cells: Current Techniques and Future Potentials.

Chunyang Lu, Jintao Han, Xiaoyi Sun, Gen Yang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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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 1 institution in 1 country.

Chunyang LuState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China.ORCID 0000-0002-3357-4241
Jintao HanState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China.
Xiaoyi SunState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China.
Gen YangState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China.
Peking University · CN

Funding

the National Grand Instrument Project 2019YFF01014400the National Natural Science Foundation of China 11875079, 11434001 and 119210067
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are tumor cells that escaped from the primary tumor or the metastasis into the blood and they play a major role in the initiation of metastasis and tumor recurrence. Thus, it is widely accepted that CTC is the main target of liquid biopsy. In the past few decades, the separation of CTC based on the electrochemical method has attracted widespread attention due to its convenience, rapidness, low cost, high sensitivity, and no need for complex instruments and equipment. At present, CTC detection is not widely used in the clinic due to various reasons. Point-of-care CTC detection provides us with a possibility, which is sensitive, fast, cheap, and easy to operate. More importantly, the testing instrument is small and portable, and the testing does not require specialized laboratories and specialized clinical examiners. In this review, we summarized the latest developments in the electrochemical-based CTC detection and point-of-care CTC detection, and discussed the challenges and possible trends.

Indexed as

Electrochemical TechniquesNeoplastic Cells, CirculatingPoint-of-Care TestingCell CountHumansLiquid Biopsycirculating tumor cellselectrochemical detectionpoint-of-care testing

Identifiers

PMID33114569
PMCPMC7663783
OpenAlexW3096459400

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.