Evidence map›Paper›PMID 27909808›Full record

ArticleInternational journal of colorectal disease2017

Clinical validation of a novel urine-based metabolomic test for the detection of colonic polyps on Chinese population.

Lu Deng, Hong Fang, Victor K Tso, Yuanyuan Sun, Rae R Foshaug, Spencer C Krahn, Fen Zhang, Yujie Yan, Huilin Xu, David Chang and 2 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International journal of colorectal disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Urine NMR Metabolomics for Precision Oncology in Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Urinary Metabolomics to Identify a Unique Biomarker Panel for Detecting Colorectal Cancer: A Multicenter Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  11. Article
  12. 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

12 authors at 4 institutions in 2 countries.

Lu DengMetabolomic Technologies Inc, Edmonton, AB, Canada. lu.deng@metabolomictechnologies.ca.ORCID http://orcid.org/0000-0002-3324-770X
Hong FangShanghai Center for Disease Control and Prevention (CDC), Minhang District, Shanghai, China.
Victor K TsoMetabolomic Technologies Inc, Edmonton, AB, Canada.
Yuanyuan SunBeijing Genomics Institute (BGI), Shenzhen, Guangdong Province, China.
Rae R FoshaugMetabolomic Technologies Inc, Edmonton, AB, Canada.
Spencer C KrahnMetabolomic Technologies Inc, Edmonton, AB, Canada.
Fen ZhangShanghai Center for Disease Control and Prevention (CDC), Minhang District, Shanghai, China.
Yujie YanShanghai Center for Disease Control and Prevention (CDC), Minhang District, Shanghai, China.
Huilin XuShanghai Center for Disease Control and Prevention (CDC), Minhang District, Shanghai, China.
David ChangMetabolomic Technologies Inc, Edmonton, AB, Canada.
Yong ZhangBeijing Genomics Institute (BGI), Shenzhen, Guangdong Province, China.
Richard N FedorakMetabolomic Technologies Inc, Edmonton, AB, Canada.
The Metabolomics Innovation Centre · CAShanghai Municipal Center For Disease Control Prevention · CNBGI Group (China) · CNUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColorectal cancer is the fifth leading cause of cancer-related deaths in China. When detected early, with the removal of adenomatous polyps, precursors of colorectal cancer, it is preventable. The aim of this study was to evaluate a novel urine-based metabolomic diagnostic test for the detection of adenomatous polyps, PolypDx™, that was originally developed and validated using 1000 samples from Canadian Cohort, on Chinese population.

methodsProspective urine samples were collected from 1000 participants undergoing colonoscopy examination, from March 2013 to July 2014 at Minhang District, Shanghai Centre for Disease Control and Prevention. One-dimensional nuclear magnetic resonance spectra of urine metabolites were analyzed to determine the concentrations of three key metabolites used in PolypDx™. The predicted results were then compared to the gold standard for colorectal cancer diagnostic, colonoscopy. Area under curve (AUC) was calculated specifically for the Chinese population and compared with the Canadian dataset. Sensitivity and specificity of this urine-based metabolomic diagnostic test were also compared with three commercially available fecal-based tests.

resultsAn AUC of 0.717 for PolypDx™ was calculated on Chinese dataset which is slightly lower than the AUC on the Canadian dataset. A sensitivity of 82.6% and a specificity of 42.4% were achieved on Chinese dataset.

conclusionsHere, we validated a novel urine-based metabolomic diagnostic test for the detection of adenomatous polyps, PolypDx™, on Chinese population through a sample size of 1000 participants with a greater level of sensitivity than fecal-based tests.

Indexed as

Asian PeopleAgedChinaColonic PolypsFecesFemaleHumansMaleMetabolomicsSensitivity and SpecificityAdenomatous polypsColorectal cancerMetabolomicsPolypDx™Urine

Identifiers

PMID27909808
OpenAlexW2557659889

What OpenQuestion holds

Textmetadata
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.