Evidence map›Paper›PMID 25272991›Full record

SynthesisNeuromolecular medicine2014

A quantitative assessment of the association between 1425G/A polymorphism in PRKCH and risk of stroke.

Lingli Sun, Zhizhong Zhang, Minmin Ma, Gelin Xu, Xinfeng Liu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Neuromolecular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

5 authors at 2 institutions in 1 country.

Lingli SunDepartment of Neurology, Jinling Hospital, Nanjing University School of Medicine, 305# East Zhongshan Road, Nanjing, 210002, Jiangsu Province, China.
Zhizhong Zhang
Minmin Ma
Gelin Xu
Xinfeng Liu
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggested an association between 1425G/A polymorphism in PRKCH and stroke risk, but the results were inconsistent. To obtain a more precise estimation, we carried out a meta-analysis to analyze the effect of 1425G/A SNP in PRKCH on stroke risk. We searched PubMed, ISI Web of Science, Chinese Biomedical Database, China National Knowledge Infrastructure and WANFANG Data for all eligible case-control studies through April 2014. The odds ratios (ORs), together with the 95% confidence intervals (CIs), were calculated to evaluate the strength of association between 1425G/A SNP and stroke risk. Overall, seven eligible studies involving a total of 4,574 cases and 5,471 controls were included in our meta-analysis. The results showed that the variant genotypes of 1425G/A polymorphism in PRKCH were significantly associated with a higher risk of stroke in all genetic models (GA vs. GG: OR 1.35, 95% CI 1.24-1.47, P < 0.001; AA vs. GG: OR 1.50, 95% CI 1.24-1.82, P < 0.001; GA/AA vs. GG: OR 1.37, 95% CI 1.26-1.49, P < 0.001; AA vs. GA/GG: OR 1.35, 95% CI 1.12-1.62, P = 0.002; A vs. G: OR 1.29, 95% CI 1.21-1.39, P < 0.001). In the subgroup analysis, significantly increased risks were also observed for ischemic stroke, larger sample size (>1,000) and population-based studies. The result of our meta-analysis indicated that the 1425G/A SNP in PRKCH may contribute to susceptibility of stroke, especially for ischemic stroke.

Indexed as

Polymorphism, Single NucleotideAdultAgedBrain IschemiaCase-Control StudiesCerebral HemorrhageCerebral InfarctionChinaFemaleGene FrequencyGenotypeHumansJapanMaleMiddle AgedNeuroimagingProtein Kinase Cprotein kinase C eta

Identifiers

PMID25272991
OpenAlexW2036409077

What OpenQuestion holds

Textmetadata
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.