Evidence map›Paper›PMID 32209217›Full record

ReviewCanadian Urological Association journal = Journal de l'Association des urologues du Canada2020

Optimizing management of advanced urothelial carcinoma: A review of emerging therapies and biomarker-driven patient selection.

Peter C Black, Nimira S Alimohamed, David Berman, Normand Blais, Bernhard Eigl, Pierre I Karakiewicz, Wassim Kassouf, Girish S Kulkarni, Michael Ong, Alan Spatz and 6 more

Open access · diamondAbstract readReview
In one paragraph

Review in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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

16 authors at 12 institutions in 2 countries.

Peter C BlackDepartment of Urologic Sciences, University of British, Columbia, Vancouver, BC, Canada.
Nimira S AlimohamedTom Baker Cancer Centre, Calgary, AB, Canada.
David BermanQueen's Cancer Research Institute, Kingston, ON, Canada.
Normand BlaisDivision of Medical Oncology/Hematology, Centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Bernhard EiglBC Cancer Vancouver Cancer Centre, Vancouver, BC, Canada.
Pierre I KarakiewiczService d'urologie, Centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Wassim KassoufDepartment of Urology, McGill University Health Centre, Montreal, QC, Canada.
Girish S KulkarniDepartments of Surgery (Urology), Princess Margaret Cancer Centre and the University Health Network, University of Toronto, Toronto, ON, Canada.
Michael OngDivision of Medical Oncology, University of Ottawa, Ottawa, ON, Canada.
Alan SpatzDepartments of Pathology and Oncology at McGill University, Montreal, QC, Canada.
Srikala S SridharDepartments of Medical Oncology, Princess Margaret Cancer Centre and the University Health Network, University of Toronto, Toronto, ON, Canada.
Tracy StockleyDepartment of Clinical Laboratory Genetics, University Health Network, Toronto, ON, Canada.
Theodorus van der KwastDepartment of Pathology, University Health Network, Toronto, ON, Canada.
Huong HewMedical Affairs, Janssen Inc, Toronto, ON, Canada.
Laura Park-WyllieMedical Affairs, Janssen Inc, Toronto, ON, Canada.
Scott A NorthDivision of Medical Oncology, University of Alberta, Edmonton, AB, Canada.
Princess Margaret Cancer Centre · CAUniversity of Toronto · CABC Cancer Agency · CACentre Hospitalier de l’Université de Montréal · CAJewish General Hospital · CAMcGill University Health Centre · CAQueens University · BDUniversité de Montréal · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdvanced urothelial carcinoma has been challenging to treat due to limited treatment options, poor response rates, and poor long-term survival. New treatment options hold the promise of improved outcomes for these patients.

methodsA multidisciplinary working group drafted a management algorithm for advanced urothelial carcinoma using "consensus development conference" methodology. A targeted literature search identified new and emerging treatments for inclusion in the management algorithm. Published clinical data were considered during the algorithm development process, as well as the risks and benefits of the treatment options. Biomarkers to guide patient selection in clinical trials for new treatments were incorporated into the algorithm.

resultsThe advanced urothelial carcinoma management algorithm includes newly approved first-line anti-programmed death receptor-1 (PD1)/ programmed death-ligand 1 (PD-L1) therapies, a newly approved anti-fibroblast growth factor receptors (FGFR) therapy, and an emerging anti-Nectin 4 therapy, which have had encouraging results in phase 2 trials for second-line and third-line therapy, respectively. This algorithm also incorporates suggestions for biomarker testing of PD-L1 expression and FGFR gene alterations.

conclusionsNewly approved and emerging therapies are starting to cover an unmet need for more treatment options, better response rates, and improved overall survival in advanced urothelial carcinoma. The management algorithm provides guidance on how to incorporate these new options, and their associated biomarkers, into clinical practice.

Identifiers

PMID32209217
PMCPMC7402696
OpenAlexW3012844237

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.