Evidence map›Paper›PMID 39371477›Full record

ArticleInternational journal of nanomedicine2024

SERS Analysis Platform Based on Aptamer Recognition-Release Strategy for Efficient and Sensitive Diagnosis of Colorectal Precancerous Lesions.

Fengsong Chen, Yanhua Huang, Yongxia Liu, Yanwen Zhuang, Xiaowei Cao, Xiaogang Qin

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Fengsong Chen *Department of Gastroenterology, Nantong Haimen People's Hospital, Nantong, Jiangsu, 226100, People's Republic of China.
Yanhua Huang *Department of Gastroenterology, Nantong Haimen People's Hospital, Nantong, Jiangsu, 226100, People's Republic of China.
Yongxia LiuDepartment of gastroenterology, Traditional Chinese Medicine Hospital of Tongzhou District, Nantong, Jiangsu, 226300, People's Republic of China.
Yanwen ZhuangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, 225001, People's Republic of China.
Xiaowei CaoInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, 225001, People's Republic of China.
Xiaogang QinDepartment of gastroenterology, Traditional Chinese Medicine Hospital of Tongzhou District, Nantong, Jiangsu, 226300, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) has become a significant global public health challenge, demanding immediate attention due to its high incidence and mortality rates. Regular CRC screening is essential for the early detection of precancerous lesions and CRC. Methods: : We developed a novel surface-enhanced Raman scattering (SERS) analysis platform that employs high-throughput microarray chips as carriers and Au/SnO Results: The platform demonstrated excellent detection performance, with rapid detection completed within 15 minutes and limits of detection (LOD) as low as 6.2×10 Conclusion: This platform offers strong support for the early detection, risk assessment, and treatment monitoring of colorectal cancer precancerous lesions, with broad potential for clinical applications.

Indexed as

Aptamers, NucleotideColorectal NeoplasmsGoldPrecancerous ConditionsSpectrum Analysis, RamanBiomarkers, TumorEarly Detection of CancerHumansLimit of DetectionAptamers, NucleotideBiomarkers, TumorGoldaptamercolorectal cancermicroarray chipprecancerous lesionssurface enhanced raman scattering

Identifiers

PMID39371477
PMCPMC11451456

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.