Evidence map›Paper›PMID 32923907›Full record

ReviewJCO precision oncology2020

Emerging Roles of Urine-Based Tumor DNA Analysis in Bladder Cancer Management.

Aadel A Chaudhuri, Bruna Pellini, Nadja Pejovic, Pradeep S Chauhan, Peter K Harris, Jeffrey J Szymanski, Zachary L Smith, Vivek K Arora

Abstract readReview
In one paragraph

Review in JCO precision oncology, 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. Review
  2. Prediction of Postoperative Intravesical Recurrence Using Urine DNA Monitoring in Nonmuscular-Invasive Urothelial Bladder Cancer.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

8 authors.

Aadel A ChaudhuriDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO.
Bruna PelliniSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO.
Nadja PejovicDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO.
Pradeep S ChauhanDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO.
Peter K HarrisDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO.
Jeffrey J SzymanskiDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO.
Zachary L SmithSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO.
Vivek K AroraSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St Louis, MO.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Cancer Genomics and Outcomes Research STRENGTH ProgramR25CA190190 · NCI · WASHINGTON UNIVERSITY · PI GOVINDAN, RAMASWAMY · 2015 to 2019
$1.0M
Cell-Free Nucleic Acids for Early Treatment Response Assessment of Hepatocellular CancerK08CA238711 · NCI · WASHINGTON UNIVERSITY · PI CHAUDHURI, AADEL · 2019 to 2021
$647k
NCATS NIH HHS UL1 TR002345NCI NIH HHS K08 CA238711NCI NIH HHS R25 CA190190
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID32923907
PMCPMC7448529

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.