Evidence map›Paper›PMID 31092915›Full record

ReviewNature reviews. Urology2019

Cancer metabolomic markers in urine: evidence, techniques and recommendations.

Sarah S Dinges, Annika Hohm, Lindsey A Vandergrift, Johannes Nowak, Piet Habbel, Igor A Kaltashov, Leo L Cheng

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06710067 (Observational Study of Urine Metabolites in the Diagnosis of Disease), which is not on this map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT06710067 recruitingnot on this mapstarted 2024, after this paper: background citation

Observational Study of Urine Metabolites in the Diagnosis of Disease

TypeobservationalSponsorLuventix, Inc.Ran2024 to 2026Enrolled1,250ConditionsColorectal Cancer, Small Intestinal Bacterial Overgrowth Syndrome (SIBO), Crohn Disease, Celiac Disease
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Exploring metabolic signatures in urine using NMR for improved prognosis of gliomas.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  5. Article
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  10. Review
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  12. ERJ open research · 2025
    Article
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  14. Review
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  18. Review
  19. Data privacy-aware machine learning approach in pancreatic cancer diagnosis.BMC medical informatics and decision making · 2024
    Article
  20. Review

18 more citing papers are in PubMed but not listed here.

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

7 authors at 5 institutions in 2 countries.

Sarah S DingesDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Annika HohmDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lindsey A VandergriftDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Johannes NowakDepartment of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany.
Piet HabbelDepartment of Haematology and Oncology, CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Igor A KaltashovDepartment of Chemistry, University of Massachusetts-Amherst, Amherst, MA, USA. kaltashov@chem.umass.edu.
Leo L ChengDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. cheng@nmr.mgh.harvard.edu.
Massachusetts General Hospital · USUniversitätsklinikum Würzburg · DECharité - Universitätsmedizin Berlin · DEHarvard University · USUniversity of Massachusetts Amherst · US

Funding

Characterizing Prostate Cancer By ex vivo MRS SignaturesR01CA115746 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHENG, LEO L · 2006 to 2017
$6.4M
NCI NIH HHS R01 CA115746
6 · The paper itself

Abstract

Urinary tests have been used as noninvasive, cost-effective tools for screening, diagnosis and monitoring of diseases since ancient times. As we progress through the 21st century, modern analytical platforms have enabled effective measurement of metabolites, with promising results for both a deeper understanding of cancer pathophysiology and, ultimately, clinical translation. The first study to measure metabolomic urinary cancer biomarkers using NMR and mass spectrometry (MS) was published in 2006 and, since then, these techniques have been used to detect cancers of the urological system (kidney, prostate and bladder) and nonurological tumours including those of the breast, ovary, lung, liver, gastrointestinal tract, pancreas, bone and blood. This growing field warrants an assessment of the current status of research developments and recommendations to help systematize future research.

Indexed as

MetabolomeBiomarkers, TumorEarly Detection of CancerHumansLiver NeoplasmsMaleMetabolomicsNeoplasmsPractice Guidelines as TopicProstatic NeoplasmsUrologic NeoplasmsBiomarkers, Tumor

Identifiers

PMID31092915
OpenAlexW2944864006

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.