Evidence map›Paper›PMID 31008939›Full record

SynthesisMedicine2019

Contribution of prostate stem cell antigen variation rs2294008 to the risk of bladder cancer.

Shi Deng, Zheng Ju Ren, Tao Jin, Bo Yang, Qiang Dong

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 8 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

5 authors at 2 institutions in 2 countries.

Shi DengDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, P.R. China.
Zheng Ju Ren
Tao Jin
Bo Yang
Qiang Dong
Sichuan University · CNCreative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNumber of studies have been performed to evaluate the relationship between prostate stem cell antigen (PSCA) variation rs2294008 and bladder cancer risk, but the sample size was small and the results were conflicting. This meta-analysis was conducted to comprehensively evaluate the overall association.

methodsPubmed, Web of science, Embase, China biology medical literature database (CBM), China National Knowledge Infrastructure (CNKI), Wan Fang and Weipu databases were searched before June 30, 2018. The strength of associations was assessed using odds ratios (ORs) and 95% confidence intervals (CIs). All of the statistical analyses were conducted using Review Manager 5.3 and Stata 14.0.

resultsTen studies involved 14,021 cases and 26,871 controls. Overall, significant association was observed between the PSCA gene variant rs2294008 polymorphism and bladder cancer (T vs C: OR = 1.16, 95%CI = 1.12-1.20; TT vs CC: OR = 1.32, 95%CI = 1.24-1.41; TT vs CT+CC: OR = 1.15, 95%CI = 1.09-1.22; TT+CT vs CC: OR = 1.27, 95%CI = 1.21-1.34). In subgroup analysis by ethnic group, a statistically significant association was observed in Asians (T vs C: OR = 1.23, 95%CI = 1.15-1.31) and Caucasians (T vs C: OR = 1.14, 95%CI = 1.10-1.18). The sensitivity analysis confirmed the reliability and stability of the meta-analysis.

conclusionOur meta-analysis supports that the PSCA gene variant rs2294008 polymorphism might contribute to individual susceptibility to bladder cancer.

Indexed as

Genetic Predisposition to DiseaseAntigenic VariationAntigens, NeoplasmAsian PeopleGPI-Linked ProteinsHumansMaleNeoplasm ProteinsPolymorphism, Single NucleotideUrinary Bladder NeoplasmsWhite PeopleAntigens, NeoplasmGPI-Linked ProteinsNeoplasm ProteinsPSCA protein, human

Identifiers

PMID31008939
PMCPMC6494373
OpenAlexW2937243640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.