Evidence map›Paper›PMID 33408983›Full record

ArticleBiomedical optics express2020

Rapid and label-free urine test based on surface-enhanced Raman spectroscopy for the non-invasive detection of colorectal cancer at different stages.

Jinyong Lin, Zongwei Huang, Xueliang Lin, Qiong Wu, Kerun Quan, Yanming Cheng, Mingzhi Zheng, Jiaying Xu, Yitao Dai, Hejin Qiu and 2 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
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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

12 authors.

Jinyong LinRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Zongwei HuangRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Xueliang LinKey Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China.
Qiong WuKey Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China.
Kerun QuanSchool of Nuclear Science and Technology, University of South China, Hengyang 421001, China.
Yanming ChengRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Mingzhi ZhengRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Jiaying XuRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Yitao DaiRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Hejin QiuRadiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China.
Duo LinKey Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China.ORCID https://orcid.org/0000-0001-6959-5995
Shangyuan FengKey Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of being able to urinate in a cup and screen for colorectal cancer (CRC) is fascinating to the public at large. Here, a simple and label-free urine test based on surface-enhanced Raman spectroscopy (SERS) was employed for CRC detection. Significant spectral differences among normal, stages I-II, and stages III-IV CRC urines were observed. Using discriminant function analysis, the diagnostic sensitivities of 95.8%, 80.9%, and 84.3% for classification of normal, stages I-II, and stages III-IV CRC were achieved in training model, indicating the great promise of urine SERS as a rapid, convenient and noninvasive method for CRC staging detection.

Identifiers

PMID33408983
PMCPMC7747921

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.