Evidence map›Paper›PMID 31908559›Full record

ReviewBiomarkers in cancer2019

Systematic Review: Genetic Associations for Prognostic Factors of Urinary Bladder Cancer.

Nadezda Lipunova, Anke Wesselius, Kar K Cheng, Frederik J van Schooten, Jean-Baptiste Cazier, Richard T Bryan, Maurice P Zeegers

Open access · diamondAbstract readReview
In one paragraph

Review in Biomarkers in cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 2 institutions in 2 countries.

Nadezda LipunovaInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-6478-9408
Anke WesseliusDepartment of Complex Genetics, Maastricht University, Maastricht, The Netherlands.
Kar K ChengInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Frederik J van SchootenDepartment of Pharmacology & Toxicology, Maastricht University, Maastricht, The Netherlands.
Jean-Baptiste CazierInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Richard T BryanInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Maurice P ZeegersInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Maastricht University · NLUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany germline associations have been reported for urinary bladder cancer (UBC) outcomes and prognostic characteristics. It is unclear whether there are overlapping genetic patterns for various prognostic endpoints. We aimed to review contemporary literature on genetic associations with UBC prognostic outcomes and to identify potential overlap in reported genes.

methodsEMBASE, MEDLINE, and PubMed databases were queried for relevant articles in English language without date restrictions. The initial search identified 1346 articles. After exclusions, 112 studies have been summarized. Cumulatively, 316 single-nucleotide polymorphisms (SNPs) were reported across prognostic outcomes (recurrence, progression, death) and characteristics (tumor stage, grade, size, age, risk group). There were considerable differences between studied outcomes in the context of genetic associations. The most commonly reported SNPs were located in

conclusionsOur study suggests that all UBC prognostic outcomes may have different biological origins with limited overlap. Further validation of these observations is essential to target a phenotype that could best predict patient outcome and advance current management practices.

Indexed as

characteristicsprognosisreviewUrinary bladder cancer

Identifiers

PMID31908559
PMCPMC6937527
OpenAlexW2998528425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.