Evidence map›Paper›PMID 33498542›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Novel Metabolic Signatures of Prostate Cancer Revealed by

Bo Yang, Chuan Zhang, Sheng Cheng, Gonghui Li, Jan Griebel, Jochen Neuhaus

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Cellular Signaling of Amino Acid Metabolism in Prostate Cancer.International journal of molecular sciences · 2025
    Review
  4. Metabolomic profiling ofComputational and structural biotechnology journal · 2025
    Article
  5. Article
  6. Advances in Prostate Cancer Biomarkers and Probes.Cyborg and bionic systems (Washington, D.C.) · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer.Indian journal of urology : IJU : journal of the Urological Society of India
    Review
  15. Article
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 at 4 institutions in 2 countries.

Bo YangDepartment of Urology, University of Leipzig, 04103 Leipzig, Germany.
Chuan ZhangDepartment of Urology, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0003-1980-8387
Sheng ChengDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Gonghui LiDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Jan GriebelLeibniz Institute of Surface Engineering (IOM), Permoserstraße 15, 04318 Leipzig, Germany.
Jochen NeuhausDepartment of Urology, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0003-2484-6994
Sir Run Run Shaw Hospital · CNLeibniz Institute of Surface Engineering · DELeipzig University · DEShanghai University of Medicine and Health Sciences · CN

Funding

Deutscher Akademischer Austauschdienst STIBET programZhejiang Medical and Health Plan Project 2020387714Zhejiang Science and Technology Project LGF21H160024
6 · The paper itself

Abstract

Prostate cancer (PC) is one of the most common male cancers worldwide. Until now, there is no consensus about using urinary metabolomic profiling as novel biomarkers to identify PC. In this study, urine samples from 50 PC patients and 50 non-cancerous individuals (control group) were collected. Based on

Indexed as

1H-Nuclear Magnetic Resonancemetabolite biomarkersprostate cancerurine metabolomics

Identifiers

PMID33498542
PMCPMC7909529
OpenAlexW3124040047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.