Evidence map›Paper›PMID 36816149›Full record

ReviewBJUI compass2023

Systematic review of reported association studies of monogenic genes and bladder cancer risk and confirmation analysis in a large population cohort.

Abrar Mian, Jun Wei, Zhuqing Shi, Andrew S Rifkin, S Lilly Zheng, Alexander P Glaser, James T Kearns, Brian T Helfand, Jianfeng Xu

Open access · goldAbstract readReview
In one paragraph

Review in BJUI compass, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Abrar MianProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
Jun WeiProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
Zhuqing ShiProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
Andrew S RifkinProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
S Lilly ZhengProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
Alexander P GlaserProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
James T KearnsProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.ORCID https://orcid.org/0000-0002-5416-4671
Brian T HelfandProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.
Jianfeng XuProgram for Personalized Cancer Care NorthShore University HealthSystem Evanston Illinois USA.ORCID https://orcid.org/0000-0002-1343-8752
NorthShore University HealthSystem · USMidwestern University · US

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Objectives: To evaluate which of previously reported monogenic genes are associated with increased bladder cancer risk, we reviewed published papers on associations of genes and bladder cancer risk and performed a confirmation study of these genes in a large population-based cohort. Subjects and methods: A systematic review of published papers prior to June 2022 was performed first to identify all genes where germline mutations were associated with bladder cancer risk. The associations of these candidate genes with bladder cancer risk were then tested among 1695 bladder cancer cases and 186 271 controls in the UK Biobank (UKB). The robust SKAT-O, a gene-based analysis that properly controls for type I error rates due to unbalanced case-control ratio, was used for association tests adjusting for age at recruitment, gender, smoking status, and genetic background. Results: The systematic review identified nine genes that were significantly associated with bladder cancer risk in at least one study ( Conclusion: This study provides statistical evidence for association of previously reported genes and bladder cancer risk and has clinical utility for risk assessment and genetic counselling.

Indexed as

bladder cancergermlinemonogenic genepathogenic mutationsrisk

Identifiers

PMID36816149
PMCPMC9931534
OpenAlexW4311844200

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.