Evidence map›Paper›PMID 28700468›Full record

ArticleMedicine2017

Identification of SEPP1 polymorphisms is not a genetic risk factor for preeclampsia in Chinese Han women: A clinical trial and experimental study.

Hong Wu, Xuewen Jia, Hong Zhao, Youmin Huang, Chang Liu, Zuzhou Huang, Shunjun Li, Jingli Wang

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In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hong WuDepartment of Prenatal Diagnosis, Yantai Yuhuangding Hospital, Yantai Prenatal Diagnosis Center, the Affiliated Hospital of Qingdao University, Qingdao Department of Blood Transfusion, the Second Affiliated of Harbin Medical University, Harbin Department of Clinical Laboratory, Tengzhou Central People's Hospital, Zaozhuang Department of Cardiology, the Affiliated Hospital of Qingdao University, Qingdao Department of Clinical Laboratory, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
Xuewen Jia
Hong Zhao
Youmin Huang
Chang Liu
Zuzhou Huang
Shunjun Li
Jingli Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSEPP1 encodes selenoprotein P, which involved in oxidative stress and plays an important role in the development of preeclampsia (PE). The aim of this study was to investigate the association between PE and genetic variants of SEPP1 in Chinese Han women.

methodsIn all, 2434 unrelated pregnant women were recruited, including 1034 PE cases and 1400 normal pregnant controls. TaqMan allelic discrimination real-time PCR method was used to genotype the 2 polymorphisms of rs7579 and rs230813 in SEPP1.

resultsNo statistically significant difference in genotypic or allelic frequencies were found at the 2 genetic variants in SEPP1 between PE patients and controls (rs7579: genotype χ = 2.417, P = .299 and allele χ = 0.197, P = .761, odds ratio 1.049, 95% confidence interval 0.744-1.151; rs230813: genotype χ = 3.273, P = .195 and allele χ = 0.252, P = .615, odds ratio 0.971, 95% confidence interval 0.864-1.091). There were also no statistically significant differences in genetic distributions between mild/severe PE or early/late-onset PE and control subgroups.

conclusionOur data indicate that the 2 genetic variants of rs7579 and rs230813 in SEPP1 may not play a role in the pathogenesis of PE in Chinese Han Women.

Indexed as

Polymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesChinaFemaleGene FrequencyGenetic Predisposition to DiseaseGenotyping TechniquesHumansOdds RatioPre-EclampsiaPregnancySelenoprotein PSELENOP protein, humanSelenoprotein P

Identifiers

PMID28700468
PMCPMC5515740

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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.