Evidence map›Paper›PMID 29948049›Full record

ReviewWorld journal of urology2018

Modeling human bladder cancer.

Cassandra Ringuette-Goulet, Stéphane Bolduc, Frédéric Pouliot

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Tissue Engineering for Penile Reconstruction.Bioengineering (Basel, Switzerland) · 2024
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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

3 authors.

Cassandra Ringuette-GouletCentre de recherche en organogénèse expérimentale/LOEX, Regenerative Medicine Division, CHU de Québec Research Center, Quebec, QC, Canada.
Stéphane BolducCentre de recherche en organogénèse expérimentale/LOEX, Regenerative Medicine Division, CHU de Québec Research Center, Quebec, QC, Canada.
Frédéric PouliotDepartment of Surgery, Faculty of Medicine, Université Laval, Quebec, QC, Canada. frederic.pouliot@fmed.ulaval.ca.

Funding

Canadian Institutes of Health Research 258229
6 · The paper itself

Abstract

introductionBladder cancer is a major public health concern and the treatment options available are unable to significantly prevent disease recurrence and progression. The need for experimental tumor models to efficiently reproduce the pathology of human cancers has prompted researchers to attempt various approaches.

methodsA PubMed search combining the MeSH bladder cancer and models was executed in March 2017.

resultsWe review the advantages and limitations of currently available in vitro 2D and 3D bladder cancer models as well as in vivo rodent models. To date, despite the description of a variety of animal models (including transplantable, carcinogen-induced and genetically engineered models), the establishment of reliable, simple, practicable and reproducible animal models remains an ongoing challenge. Recently, sophisticated 3D culture systems have been designed to better recapitulate the phenotypic and cellular heterogeneity as well as microenvironmental aspects of in vivo tumor growth, while being more flexible to conduct repeated experiments.

conclusionSelecting the most appropriate model for a specific application will maximize the conversion of potential therapies from the laboratory to clinical practice and requires an understanding of the various models available.

Indexed as

Imaging, Three-DimensionalAnimalsAntibodies, MonoclonalAntineoplastic AgentsBCG VaccineCarcinoma, Transitional CellDisease Models, AnimalImmunotherapyMiceSensitivity and SpecificityTumor Cells, CulturedUrinary Bladder NeoplasmsAntibodies, MonoclonalAntineoplastic AgentsBCG Vaccine3D modelsAnimal modelsBladder cancer

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.