Evidence map›Paper›PMID 32011434›Full record

SynthesisMedicine2020

Association of 17q24 rs1859962 gene polymorphism with prostate cancer risk: A systematic review and meta-analysis.

Feiqiang Ren, Peihai Zhang, Ziyang Ma, Ling Zhang, Guangsen Li, Xiaopeng Huang, Degui Chang, Xujun Yu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Feiqiang RenChengdu University of Traditional Chinese Medicine.
Peihai ZhangThe Urology and Andrology Department, Hospital of Chengdu University of Traditional Chinese Medicine.
Ziyang MaChengdu University of Traditional Chinese Medicine.
Ling ZhangChengdu University of Traditional Chinese Medicine.
Guangsen LiThe Urology and Andrology Department, Hospital of Chengdu University of Traditional Chinese Medicine.
Xiaopeng HuangThe Urology and Andrology Department, Hospital of Chengdu University of Traditional Chinese Medicine.
Degui ChangThe Urology and Andrology Department, Hospital of Chengdu University of Traditional Chinese Medicine.
Xujun YuThe Andrology Department, The School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, P. R. China.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, several genome-wide association studies have demonstrated a cumulative association of 17q24 rs1859962 gene variants with prostate cancer (PCa) risk, but conflicting results on this issue have been reported. Hence, we performed a systematic literature review and meta-analysis to assess the association between 17q24 rs1859962 gene and PCa risk.

methodsSystematic literature searches were conducted with PubMed, EMBASE, Science Direct/Elsevier, CNKI, and the Cochrane Library up to January 2019 for studies focusing on the association of 17q24 rs1859962 gene polymorphism with PCa risk. Meta-analysis was performed with Review Manager and stata software. Combined OR were identified with 95% confidence intervals (95% CI) in a random or fixed effects model.

resultsEight studies were identified, including 7863 cases of PCa patients and 17122 normal controls. Our results revealed significant associations between the 17q24 rs1859962 gene polymorphism and PCa in all genetic models (P < 0.05). The combined odds ratios and 95% confidence intervals were as follows: Additive model (odds ratios [ORs] 1.44, 95%, confidence interval [CI] [1.32, 1.57]); Codominant model (ORs 1.22, 95% CI [1.08, 1.39]); Dominant model (ORs 1.25, 95%, CI [1.17, 1.34]); recessive model (ORs 1.27, 95% CI [1.18, 1.36]); allele model (ORs 1.32, 95% CI [1.12, 1.55]).

conclusionThe present study supports the proposed association between the 17q24 gene rs1859962 and PCa progression. Specifically, this polymorphism is suggested to be a risk factor of PCa. However, studies with larger sample sizes are needed to better illuminate the correlation between 17q24 rs1859962 gene polymorphism and PCa.

Indexed as

AllelesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleOdds RatioPolymorphism, Single NucleotideProstatic NeoplasmsResearch DesignRisk Factors

Identifiers

PMID32011434
PMCPMC7220075
OpenAlexW2998930982

What OpenQuestion holds

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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.