Evidence map›Paper›PMID 34850327›Full record

ArticleInternational urology and nephrology2022

Bladder cancer biomarker screening based on non-targeted urine metabolomics.

Jinkun Li, Bisheng Cheng, Hongbing Xie, Chuanchuan Zhan, Shipeng Li, Peiming Bai

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Unmasking the Metabolite Signature of Bladder Cancer: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  2. Review
  3. Review
  4. Broadband Collision-Induced Dissociation Mass Spectrometry Imaging.Journal of the American Society for Mass Spectrometry · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Metabolomic profiling of human bladder tissue extracts.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Jinkun LiZhongshan Hospital Xiamen University, Xiamen, China.
Bisheng ChengSun Yat-Sen Memorial Hospital, Guangzhou, China.
Hongbing XieLincang People's Hopsital, Lincang, China.
Chuanchuan ZhanShaoxing People's Hospital, Shaoxing, China.
Shipeng LiZhongshan Hospital Xiamen University, Xiamen, China.
Peiming BaiZhongshan Hospital Xiamen University, Xiamen, China. baipeiming@xmu.edu.cn.ORCID http://orcid.org/0000-0003-4676-755X

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 21535007
6 · The paper itself

Abstract

purposeBladder cancer is one of the most common malignancies of the urinary system, and its screening relies heavily on invasive cystoscopy, which increases the risk of urethral injury and infection. This study aims to use non-targeted metabolomics methods to screen for metabolites that are significantly different between the urine of bladder cancer patients and cancer-free controls.

methodsIn this study, liquid chromatography-mass spectrometry was used to analyze the urine of bladder cancer patients (n = 57) and the cancer-free controls (n = 38) by non-targeted metabolomic analysis and metabolite identification.

resultsThe results showed that there were significant differences in the expression of 27 metabolites between bladder cancer patients and the cancer-free controls.

conclusionIn the multivariate statistical analysis of this study, the urinary metabolic profile data of bladder cancer patients were analyzed, and the receiver operating characteristic curve analysis showed that it is possible to perform non-invasive clinical diagnoses of bladder cancer through these candidate biomarkers.

Indexed as

MetabolomeBiomarkers, TumorEarly Detection of CancerHumansUrinary Bladder NeoplasmsBiomarkers, TumorBiomarkerBladder cancerLiquid chromatographyMetabolomics

Identifiers

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.