Evidence map›Paper›PMID 22760258›Full record

SynthesisMolecular biology reports2012

Association between estrogen receptor alpha c.454-397T>C and c.454-351A>G and ischemic stroke risk: a systematic review and meta-analysis.

Bing-Hu Li, Li-Li Zhang, Yan-Wei Yin, Yan Pi, Lu Guo, Qing-Wu Yang, Chang-Yue Gao, Chuan-Qin Fang, Jing-Zhou Wang, Jing Xiang and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2012. 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. Article
  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

11 authors.

Bing-Hu LiDepartment of Neurology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, People's Republic of China.
Li-Li Zhang
Yan-Wei Yin
Yan Pi
Lu Guo
Qing-Wu Yang
Chang-Yue Gao
Chuan-Qin Fang
Jing-Zhou Wang
Jing Xiang
Jing-Cheng Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between estrogen receptor alpha (ESR1) c.454-397T>C and c.454-351A>G polymorphism and ischemic stroke remains controversial. The aim of this study was to perform a meta-analysis to investigate a more authentic association between c.454-397T>C and c.454-351A>G mutation and ischemic stroke. Systematic searches of electronic databases Embase, PubMed, Web of Science as well as hand-searching of the references of identified articles and the meeting abstracts were performed. Study selection, data abstraction and study quality evaluation were independently conducted in duplicate. Statistical analyses were performed using software Stata 11.0. The pooled odds ratios (ORs) with 95 % confidence intervals (95 % CIs) were performed. Different effect models were used according to the difference in heterogeneity. Publication bias was tested by Begg's funnel plot and Egger's regression test. For c.454-397T>C mutation, five studies were combined. Significant association was found in allelic model (OR = 1.12, 95 % CI = 1.01-1.25, p = 0.03), additive model (OR = 1.25, 95 % CI = 1.01-1.54, p = 0.04), and recessive model (OR = 1.23, 95 % CI = 1.02-1.49, p = 0.03), whereas no evidence of association was found for dominant model (OR = 1.10, 95 % CI = 0.85-1.42, p = 0.47). For c.454-351A>G mutation, no evidence of association was found for all genetic models. Our meta-analysis suggests that ESR1 c.454-397T>C mutation is significantly associated with increased risk of ischemic stroke, whereas no evidence of association was found for ESR1 c.454-351A>G mutation.

Indexed as

Polymorphism, Single NucleotideBrain InfarctionCase-Control StudiesEstrogen Receptor alphaGenetic Association StudiesHumansOdds RatioPublication BiasESR1 protein, humanEstrogen Receptor alpha

Identifiers

What OpenQuestion holds

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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.