Evidence map›Paper›PMID 38001632›Full record

ReviewCancers2023

Recent Progress in Enhanced Cancer Diagnosis, Prognosis, and Monitoring Using a Combined Analysis of the Number of Circulating Tumor Cells (CTCs) and Other Clinical Parameters.

Thi Ngoc Anh Nguyen, Po-Shuan Huang, Po-Yu Chu, Chia-Hsun Hsieh, Min-Hsien Wu

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

5 authors.

Thi Ngoc Anh NguyenGraduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.
Po-Shuan HuangGraduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.
Po-Yu ChuGraduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.
Chia-Hsun HsiehDivision of Hematology-Oncology, Department of Internal Medicine, New Taipei City Municipal TuCheng Hospital, New Taipei City 23652, Taiwan.
Min-Hsien WuGraduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.

Funding

Chang Gung Memorial Hospital CMRPD1M0561, CMRPD1M0562, CMRPD2M0291National Science and Technology Council, R.O.C. 110-2221-E-182-004-MY3, 110-2811-E-182-507, 111-2811-E-182-009
6 · The paper itself

Abstract

Analysis of circulating tumor cells (CTCs) holds promise to diagnose cancer or monitor its development. Among the methods, counting CTC numbers in blood samples could be the simplest way to implement it. Nevertheless, its clinical utility has not yet been fully accepted. The reasons could be due to the rarity and heterogeneity of CTCs in blood samples that could lead to misleading results from assays only based on single CTC counts. To address this issue, a feasible direction is to combine the CTC counts with other clinical data for analysis. Recent studies have demonstrated the use of this new strategy for early detection and prognosis evaluation of cancers, or even for the distinguishment of cancers with different stages. Overall, this approach could pave a new path to improve the technical problems in the clinical applications of CTC counting techniques. In this review, the information relevant to CTCs, including their characteristics, clinical use of CTC counting, and technologies for CTC enrichment, were first introduced. This was followed by discussing the challenges and new perspectives of CTC counting techniques for clinical applications. Finally, the advantages and the recent progress in combining CTC counts with other clinical parameters for clinical applications have been discussed.

Indexed as

cancer diagnosiscancer prognosiscirculating tumor cellsclinical applicationCTC countsCTCsmultiple parameter

Identifiers

PMID38001632
PMCPMC10670359

What OpenQuestion holds

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Registered trials

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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.