Evidence map›Paper›PMID 24063019›Full record

ArticleBioMed research international2013

Association between Interleukin-1 gene single nucleotide polymorphisms and ischemic stroke classified by TOAST criteria in the Han population of northern China.

Zheng Zhang, Li-Jun Liu, Chen Zhang, Yong-Peng Yu

Abstract read
In one paragraph

Article in BioMed research international, 2013. 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

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

5 citing papers in PubMed.

  1. Expanding Role of Interleukin-1 Family Cytokines in Acute Ischemic Stroke.International journal of molecular sciences · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Zheng ZhangDepartment of Geriatric Internal Medicine, The Affiliated Hospital of the Medical College of Qingdao University, Shandong 266003, China.
Li-Jun Liu
Chen Zhang
Yong-Peng Yu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence suggests that IL-1 β (C-511T) and IL-1 α (C-889T) genes polymorphisms are associated with the susceptibility to cardiocerebral vascular disease. In this paper, we investigated the relationships between these polymorphisms and the risk of ischemic stroke (IS) classified by TOAST criteria in the north Chinese Han population. 440 cases of IS and 486 age- and gender-matched controls of Chinese Han population were enrolled. Association study showed that the TT genotype and T allele of IL-1 α -889 C/T were significantly associated with IS of a large artery atherosclerosis (LAA) (TT: OR = 2.01, 95% CI = 1.34-3.0, and P < 0.001; T: OR = 1.44, 95% CI = 1.18-1.78, and P = 0.001). However, there was no significant difference in the distribution of IL-1 α -889 C/T genotypes and allele frequencies between the two subgroups (small-artery occlusion (SVD) and cardioembolism (CE)) of IS and control groups. No significant association was also found between the IL-1 β -511 TT genotype and T allele (TT: OR = 0.79, 95% CI = 0.56-1.11, and P = 0.175; T: OR = 0.83, 95% CI = 0.68-1.01, and P = 0.066) and IS as well as subgroups of CE and SVD. Our results implicated that IL-1 α -889 C/T gene polymorphism might be associated with the susceptibility to IS, especially to IS with LAA, in a north Chinese Han population.

Indexed as

Genetic Predisposition to DiseaseAgedBrain IschemiaCase-Control StudiesChinaDemographyEthnicityFemaleGene FrequencyGenetic Association StudiesHumansInterleukin-1alphaInterleukin-1betaMalePolymorphism, Single NucleotideRisk FactorsIL1A protein, humanIL1B protein, humanInterleukin-1alphaInterleukin-1beta

Identifiers

PMID24063019
PMCPMC3770010

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.