Evidence map›Paper›PMID 31359356›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

Influences of genetic variants on stroke recovery: a meta-analysis of the 31,895 cases.

Nikhil Math, Thang S Han, Irina Lubomirova, Robert Hill, Paul Bentley, Pankaj Sharma

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Apolipoprotein E and Atherosclerosis.Current atherosclerosis reports · 2021
    Review
  13. Review
  14. Genetic Aspects of Inflammation and Immune Response in Stroke.International journal of molecular sciences · 2020
    Review
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.

Nikhil MathDepartment of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK.
Thang S HanInstitute of Cardiovascular Research Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK. thang.han@rhul.ac.uk.ORCID http://orcid.org/0000-0003-2570-0938
Irina LubomirovaDepartment of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK.
Robert HillDepartment of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK.
Paul BentleyDepartment of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK.
Pankaj SharmaInstitute of Cardiovascular Research Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK. pankaj.sharma@rhul.ac.uk.
Imperial College London · GBImperial College Healthcare NHS Trust · GBRoyal Holloway University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influences of genetic variants on functional clinical outcomes following stroke are unclear. In order to reliably quantify these influences, we undertook a comprehensive meta-analysis of outcomes after acute intracerebral haemorrhage (ICH) or ischaemic stroke (AIS) in relation to different genetic variants.

methodsPubMed, PsycInfo, Embase and Medline electronic databases were searched up to January 2019. Outcomes, defined as favourable or poor, were assessed by validated scales (Barthel index, modified Rankin scale, Glasgow outcome scale and National Institutes of Health stroke scale).

resultsNinety-two publications comprising 31,895 cases met our inclusion criteria. Poor outcome was observed in patients with ICH who possessed the APOE4 allele: OR =2.60 (95% CI = 1.25-5.41, p = 0.01) and in AIS patients with the GA or AA variant at the BDNF-196 locus: OR = 2.60 (95% CI = 1.25-5.41, p = 0.01) or a loss of function allele of CYP2C19: OR = 2.36 (95% CI = 1.56-3.55, p < 0.0001). Poor outcome was not associated with APOE4: OR = 1.02 (95% CI = 0.81-1.27, p = 0.90) or IL6-174 G/C: OR = 2.21 (95% CI = 0.55-8.86, p = 0.26) in patients with AIS.

conclusionsWe demonstrate that recovery of AIS was unfavourably associated with variants of BDNF and CYP2C19 genes whilst recovery of ICH was unfavourably associated with APOE4 gene.

Indexed as

Outcome Assessment, Health CareBrain IschemiaCerebral HemorrhageHumansStrokeBDNFPOEPolymorphismsStroke outcomes

Identifiers

PMID31359356
PMCPMC6848040
OpenAlexW2965457946

What OpenQuestion holds

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LicenceCC BY
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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.