Evidence map›Paper›PMID 34616844›Full record

SynthesisBioMed research international2021

Lack of Association between Common Polymorphisms in Selenoprotein P Gene and Susceptibility to Colorectal Cancer, Breast Cancer, and Prostate Cancer: A Meta-Analysis.

Hanjiang Xu, Fan Mo, Jun Zhou, Zongyao Hao, Xianguo Chen, Chaozhao Liang

Abstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Hanjiang XuDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.
Fan MoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.ORCID https://orcid.org/0000-0001-7387-8496
Jun ZhouDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.
Zongyao HaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.
Xianguo ChenDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.ORCID https://orcid.org/0000-0001-8819-9373
Chaozhao LiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, China.ORCID https://orcid.org/0000-0003-2317-1323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodWe search the PubMed, Embase, Google Scholar, and Wanfang (China) databases (up to December 1, 2020) to identify all eligible publications. The pooled odds ratio (OR) correspondence with 95% confidence interval (CI) was calculated to evaluate the associations.

resultsFinally, nine eligible studies with 7,157 cases and 6,440 controls and five studies with 2,278 cases and 2,821 controls were enrolled in rs3877899 and rs7579 polymorphisms, individually. However, a null significant association was detected between the two polymorphisms in

conclusionsThe current meta-analysis shows that SEPP1 rs3877899 and rs7579 polymorphisms may not be associated with susceptibility to colon cancer, breast cancer, and prostate cancer, and further well-designed studies with a larger sample size are warranted to validate our findings.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseBreast NeoplasmsCase-Control StudiesColorectal NeoplasmsFemaleHumansMalePolymorphism, Single NucleotideProstatic NeoplasmsPublication BiasRisk FactorsSelenoprotein PSelenoprotein P

Identifiers

PMID34616844
PMCPMC8490044

What OpenQuestion holds

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LicenceCC BY
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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.