Evidence mapPaperPMID 42536556Full record

ArticleMedicine2026

Mapping the evolution and impact of microfluidic technology research on cancer diagnosis: A comprehensive bibliometric analysis from 2015 to 2024.

Xinxiang Su, Junjun Pu, Jinxia Liao, Jilin Li, Juanjuan Huang, Zhen Wu

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xinxiang SuGuilin Medical University, Guilin, Guangxi, China.
Junjun PuGuilin Medical University, Guilin, Guangxi, China.
Jinxia LiaoGuilin Medical University, Guilin, Guangxi, China.
Jilin LiGuilin Medical University, Guilin, Guangxi, China.
Juanjuan HuangGuilin Medical University, Guilin, Guangxi, China.
Zhen WuFaculty of Basic Medical Science, Guilin Medical University, Guilin, Guangxi, China.ORCID 0009-0003-0363-5095

Funding

the University Innovation and Entrepreneurship Training Program in China 202410601001Sthe University Innovation and Entrepreneurship Training Program in China grant nos. S202310601098
6 · The paper itself

Abstract

backgroundTo explore the research trends of microfluidic technology for cancer diagnosis from 2015 to 2024 using bibliometric and visualization methods (not a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant systematic review), and provide references for subsequent scientific research.

methodsRelevant literatures were retrieved from the Web of Science Core Collection, and analyzed using tools such as Origin 2018, R software, VOSviewer, and CiteSpace. The cooperation network, co - citation network, and keyword co - occurrence network was constructed.

resultsA total of 897 literatures were included. The number of literatures first increased, then decreased, and then increased again, reaching a peak in 2023. China had the highest literature output (358 articles), but the international co - authorship rate was low (19%). Biosensors & Bioelectronics had high publication and citation numbers. The research hotspots were the isolation and detection of circulating tumor cells (with a focus on breast cancer, colorectal cancer, and lung cancer, accounting for 36%) and microfluidic analysis of exosomes (accounting for 24%). Keyword clustering involved microfluidic device materials, tumor cell detection, exosome applications, and cancer mechanism research. The research direction shifted from broad-based technology to precise applications for specific cancers and samples.

conclusionThis study clarified the research status and hotspots in this field. Microfluidic technology contributes to the early and accurate diagnosis of cancer. In the future, international cooperation should be strengthened to explore more potential of microfluidic technology in cancer diagnosis and improve the level of early diagnosis.

Indexed as

BibliometricsMicrofluidic Analytical TechniquesMicrofluidicsNeoplasmsHumansbibliometricscancer diagnosismicrofluidic technologyvisual analysis

Identifiers

PMID42536556
PMCPMC13433093

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.