Evidence map›Paper›PMID 38769130›Full record

ReviewNature reviews. Urology2024

Preclinical models of bladder cancer: BBN and beyond.

David Matye, Juliann Leak, Benjamin L Woolbright, John A Taylor

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Animal Models of Human Disease 2.0.International journal of molecular sciences · 2024
    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

4 authors.

David MatyeSchool of Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Juliann LeakSchool of Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Benjamin L WoolbrightDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS, USA.
John A TaylorDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS, USA. jtaylor27@kumc.edu.ORCID http://orcid.org/0000-0002-1780-3788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical modelling is a crucial component of advancing the understanding of cancer biology and therapeutic development. Several models exist for understanding the pathobiology of bladder cancer and evaluating therapeutics. N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN)-induced bladder cancer is a commonly used model that recapitulates many of the features of human disease. Particularly in mice, BBN is a preferred laboratory model owing to a high level of reproducibility, high genetic fidelity to the human condition, and its relative ease of use. However, important aspects of the model are often overlooked in laboratory studies. Moreover, the advent of new models has yielded a variety of methodologies that complement the use of BBN. Toxicokinetics, histopathology, molecular genetics and sex can differ between available models and are important factors to consider in bladder cancer modelling.

Indexed as

ButylhydroxybutylnitrosamineDisease Models, AnimalUrinary Bladder NeoplasmsAnimalsHumansMiceButylhydroxybutylnitrosamine

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.