Evidence map›Paper›PMID 25785132›Full record

ArticleInternational journal of clinical and experimental medicine2015

Genetic predisposition of stroke: understanding the evolving landscape through meta-analysis.

Hai-Dong Huang, Chun-Min Yang, Hai-Feng Shu, Yong-Qin Kuang, Tao Yang, Wei-Qi He, Kai Zhao, Xun Xia, Jing-Min Cheng, Yuan Ma and 1 more

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Hai-Dong HuangDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Chun-Min YangDepartment of Medical Imaging, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Hai-Feng ShuDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Yong-Qin KuangDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Tao YangDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Wei-Qi HeDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Kai ZhaoDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Xun XiaDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Jing-Min ChengDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Yuan MaDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.
Jian-Wen GuDepartment of Neurosurgery, General Hospital of The People's Liberation Army Chengdu Military Region Sichuan 610083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke, either ischemic or hemorrhagic, is the leading cause of death and morbidity worldwide. Identifying the risk factors is a prerequisite step for stroke prevention and treatment. It is believed that a major portion of the currently unidentified risk factors is of genetic origin. Consistent with this idea, numerous potential risk alleles for stroke have been reported, however, the genetic evidence so far is not conclusive. The major goal of this review is to update the current knowledge about the genetic predisposition to the common multifactorial stroke, and to provide a bird's-eye view of this fast moving field. We selectively review and meta-analyze the related English literatures in public domain (PubMed) from 2000 onward, including the original reports and meta-analyses, to evaluate the genetic risk factors of common multifactorial stroke. The results indicated that we reviewed and meta-analyzed original reports and existing meta-analyses that studied the genetic predisposition to the common multifactorial stroke. Some original reports and meta-analyses were specific for ischemic stroke and others were for hemorrhagic stroke only. We also evaluated the major evolving issues in this field and discussed the future directions. In conclusion, strong evidences suggest that genetic risk factors contribute to common multifactorial stroke, and many genetic risk genes have been implicated in the literatures. However, not a single risk allele has been conclusively approved.

Indexed as

Genetic predisposition/riskhemorrhagic strokeischemic stroke

Identifiers

PMID25785132
PMCPMC4358587

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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.