Evidence map›Paper›PMID 34036824›Full record

SynthesisAmerican journal of men's health

The CYP19A1 (TTTA)n Repeat Polymorphism May Affect the Prostate Cancer Risk: Evidence from a Meta-Analysis.

Lei Guo, Yanan Liu, Lijun Liu, Shixiu Shao, Yanwei Cao, Jiaming Guo, Haitao Niu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Lei GuoDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.ORCID 0000-0002-3797-5528
Yanan LiuDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Lijun LiuDepartment of Neurology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shixiu ShaoDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yanwei CaoDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Jiaming GuoDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Haitao NiuDepartment of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal aromatase (CYP19A1) expression may participate in prostate cancer (PCa) carcinogenesis. However, the results of studies on the CYP19A1 gene polymorphisms and PCa are conflicting. This meta-analysis aimed to systematically evaluate the associations between the CYP19A1 Arg264Cys polymorphism and the (TTTA)n repeat polymorphism and PCa. Electronic databases (PubMed, EmBase, ScienceDirect, and Cochrane Library) were comprehensively searched to identify eligible studies. The strength of the association between the Arg264Cys polymorphism and PCa was assessed by pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) in allelic, dominant, recessive, homozygous, and heterozygous genetic models. To analyze the impact of the (TTTA)n repeat polymorphism, we sequentially took the N-repeat allele (where

Indexed as

AromataseProstatic NeoplasmsAllelesGenetic Predisposition to DiseaseHumansMalePolymorphism, GeneticAromataseCYP19A1 protein, humanCYP19A1meta-analysispolymorphismprostate cancer

Identifiers

PMID34036824
PMCPMC8161905
OpenAlexW3164957259

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.