Evidence map›Paper›PMID 22969851›Full record

ArticleExperimental and therapeutic medicine2012

Polymorphisms of IGFI contribute to the development of ischemic stroke.

Hak Jae Kim, Su Kang Kim, Hae Jeong Park, Joo-Ho Chung, Jinman Chun, Dong Hwan Yun, Young Ock Kim

Open access · bronzeAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2012. 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
0.2field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Hak Jae KimSoonchunhyang Medical Research Institute, College of Medicine, Soonchunhyang University, Chunan;
Su Kang Kim
Hae Jeong Park
Joo-Ho Chung
Jinman Chun
Dong Hwan Yun
Young Ock Kim
Kyung Hee University Medical Center · KRKyung Hee University · KRRural Development Administration · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor 1 (IFG1) is neuroprotective in animal models of focal brain ischemia and correlates with ischemic stroke (IS) outcome in the elderly. In this study, we investigated whether single nucleotide polymorphisms (SNPs) of the IFG1 gene are associated with the development and clinical features of IS in a Korean population. A total of 119 patients with IS and 289 control subjects were recruited. Stroke patients were classified into subgroups according to the scores of the National Institutes of Health Stroke Survey (NIHSS; <6 and ≥6) and the Modified Barthel Index (MBI; <60 and ≥60). Among the SNPs of the IFG1 gene, five SNPs were selected and analyzed by direct sequencing: rs2162679 (intron), rs2195239 (intron), rs978458 (intron), rs1520220 (intron) and rs6214 (3' untranslated region; 3'UTR). Multiple logistic regression models were conducted to analyze genetic data. SNPStats, SNPAnalyzer Pro and Helixtree programs were used to calculate odds ratios (ORs), 95% confidence intervals (CIs) and p-values. Two SNPs, rs2162679 and rs6214, were associated with the development of IS. After Bonferroni correction (p(c)), the A and G alleles of rs2162679 and rs6214 had significant differences between patients with IS and the controls [rs2162679, OR (95% CI) = 1.64 (1.17-2.31), p=0.004, p(c)=0.02; rs6214, OR (95% CI) = 1.52 (1.12-2.07), p=0.007, p(c)=0.035], respectively. However, the five selected SNPs were not related to the NIHSS and MBI scores. These results suggest that IGF1 may be associated with the development of IS.

Identifiers

PMID22969851
PMCPMC3438751
OpenAlexW2069040347

What OpenQuestion holds

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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.