Evidence map›Paper›PMID 27681698›Full record

ArticleBMC ophthalmology2016

Association between polymorphisms of OGG1, EPHA2 and age-related cataract risk: a meta-analysis.

Hongxu Zhang, Jianguang Zhong, Zhenyu Bian, Xiang Fang, You Peng, Yongping Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Functional analysis of deleteriousMolecular vision · 2021
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  7. Article
  8. Article
  9. Article
  10. Association of PON2 and PON3 polymorphism with risk of developing cataract.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    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 at 1 institution in 1 country.

Hongxu ZhangDepartment of Ophtalmology, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Huansha Road No. 261, Hangzhou, 310006, Zhejiang, People's Republic of China.
Jianguang ZhongDepartment of Ophtalmology, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Huansha Road No. 261, Hangzhou, 310006, Zhejiang, People's Republic of China.
Zhenyu BianDepartment of Orthopaedics, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Hangzhou, 310006, Zhejiang, People's Republic of China.
Xiang FangDepartment of Central Laboratory, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Hangzhou, 310006, Zhejiang, People's Republic of China.
You PengDepartment of Surgical Oncology, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Hangzhou, 310006, Zhejiang, People's Republic of China.
Yongping HuDepartment of Ophtalmology, Hangzhou First People's Hospital, Hangzhou Hospital Affiliated to Nanjing Medical University, Huansha Road No. 261, Hangzhou, 310006, Zhejiang, People's Republic of China. huypkf@163.com.
Hangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidences have identified the correlation of 8-oxoguanine DNA glycosylase-1 (OGG1) and eph-receptor tyrosine kinase-type A2 (EPHA2) polymorphisms in age-related cataract (ARC) risk. However, the results were not consistent. The objective of this study was to examine the role of these two gene polymorphisms in ARC susceptibility.

methodsEligible case-control studies published between January 2000 and 2015 were searched and retrieved in the electronic databases. The odds ratio with 95 % confidence interval (CI) was employed to calculate the strength of the relationship.

resultsWe totally screened out six articles, including 5971 cataract patients and 4189 matched controls. Three variants were contained (OGG1 rs1052133; EPHA2 rs7543472 and rs11260867). For OGG1 rs1052133, we detected a significant correlation between OGG1 polymorphism and ARC risk under the heterogenous model (CG vs. CC: OR = 1.34, 95 % CI = 1.06-1.70, P = 0.01) and dominant model (GG+CG vs. CC: OR = 1.45, 95 % CI = 1.16-1.81, P = 0.001), especially in patients with cortical cataract of subgroup analysis by phenotypes (P < 0.05). For EPHA2 rs7543472 and rs11260867, we did not find a positive association between these two mutations and ARC susceptibility in total cases. Subgroup analysis by phenotypes of cataract showed that only in cortical cataract, genotypes of rs7543472 under the allele model, homogenous model and recessive model; genotypes of rs11260867 under the heterogenous model and dominant model were associated with ARC risk.

conclusionsOGG1 rs1052133 (CG and CG+GG genotypes) might be risk factor for ARC, particularly in cortical cataract risk. EPHA2 rs7543472 (T allele and TT genotype) and rs11260867 (CG and GG+CG genotypes) might be associated with cortical cataract.

Indexed as

Age-related cataractEPHA2Meta-analysisOGG1Polymorphism

Identifiers

PMID27681698
PMCPMC5041552
OpenAlexW2523764954

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Registered trials

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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.