Evidence map›Paper›PMID 19008959›Full record

SynthesisPloS one2008

The genetics of primary haemorrhagic stroke, subarachnoid haemorrhage and ruptured intracranial aneurysms in adults.

George Peck, Liam Smeeth, John Whittaker, Juan Pablo Casas, Aroon Hingorani, Pankaj Sharma

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
4.3field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Article
  8. Article
  9. Review
  10. Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Genetic predisposition of stroke: understanding the evolving landscape through meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
  18. Review
  19. Article
  20. ACMG Practice Guideline: lack of evidence for MTHFR polymorphism testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    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 3 institutions in 1 country.

George PeckImperial College Cerebrovascular Research Unit (ICCRU), Department of Clinical Neuroscience, Imperial College London & Hammersmith Hospitals, London, UK.
Liam Smeeth
John Whittaker
Juan Pablo Casas
Aroon Hingorani
Pankaj Sharma
University of London · GBHammersmith Hospital · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Wellcome Trust 082178
6 · The paper itself

Abstract

backgroundThe genetic basis of haemorrhagic stroke has proved difficult to unravel, partly hampered by the small numbers of subjects in any single study. A meta-analysis of all candidate gene association studies of haemorrhagic stroke (including ruptured subarachnoid haemorrhage and amyloid angiopathy-related haemorrhage) was performed, allowing more reliable estimates of risk.

methodsA systematic review and meta-analysis of all genetic studies in haemorrhagic stroke was conducted. Electronic databases were searched until and including March 2007 for any candidate gene in haemorrhagic stroke. Odds ratio (OR) and 95% confidence intervals (CI) were determined for each gene disease association using fixed and random effect models.

resultsOur meta-analyses included 6,359 cases and 13,805 controls derived from 55 case-control studies, which included 12 genes (13 polymorphisms). Statistically significant associations with haemorrhagic stroke were identified for those homozygous for the ACE/I allele (OR, 1.48; 95% CI, 1.20-1.83; p = 0.0003) and for the 5G allele in the SERPINE1 4G/5G polymorphism (OR, 1.42; 95% CI, 1.03-1.96; p = 0.03). In addition, both epsilon2 and epsilon4 alleles of APOE were significantly associated with lobar haemorrhage (OR, 1.81; 95% CI, 1.26-2.62; p = 0.002 and OR, 1.49; 95% 1.08-2.05; p = 0.01 respectively). Furthermore, a significant protective association against haemorrhagic stroke was found for the factor V Leiden mutation (OR, 0.30; 95% CI, 0.10-0.87; p = 0.03).

conclusionOur data suggests a genetic contribution to some types of haemorrhagic stroke, with no overall responsible single gene but rather supporting a polygenic aetiology . However, the evidence base is smaller compared to ischaemic stroke. Importantly, for several alleles previously found to be associated with protection from ischaemic stroke, there was a trend towards an increased risk of haemorrhagic stroke.

Indexed as

AdultAllelesAneurysm, RupturedApolipoproteins EConfidence IntervalsFactor VGenotypeHomozygoteHumansIntracranial AneurysmMethylenetetrahydrofolate Reductase (NADPH2)Nitric Oxide Synthase Type IIIOdds RatioPeptidyl-Dipeptidase APolymorphism, GeneticSerpinsApolipoproteins EFactor VMethylenetetrahydrofolate Reductase (NADPH2)Nitric Oxide Synthase Type IIIPeptidyl-Dipeptidase ASERPINA3 protein, humanSerpins

Identifiers

PMID19008959
PMCPMC2579487
OpenAlexW2010411387

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.