Evidence map›Paper›PMID 21948258›Full record

ArticleMolecular and cellular biochemistry2012

Association between polymorphisms in the signal transducer and activator of transcription and dilated cardiomyopathy in the Chinese Han population.

Ying Peng, Bin Zhou, Yanyun Wang, Yu Chen, Hui Li, Yaping Song, Lin Zhang, Li Rao

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular and cellular biochemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 12 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

8 authors at 3 institutions in 1 country.

Ying PengDepartment of Cardiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Bin Zhou
Yanyun Wang
Yu Chen
Hui Li
Yaping Song
Lin Zhang
Li Rao
Sichuan University · CNWest China Hospital of Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The signal transduction pathways mediating the progress of heart failure have been intensively studied. Altered signaling of the signal transducers and activators of transcription (STATs), which play important roles in regulating cell proliferation, differentiation, and apoptosis, has been observed in the heart. We conducted a pilot study to test whether single nucleotide polymorphisms (SNPs) in STATs were associated with dilated cardiomyopathy (DCM). Genotypes of two SNPs of STATs (rs6503691 C/T in exon 1 of STAT5B and rs4796793 C/G in the 5' region of STAT3) in 251 DCM patients and 484 control subjects were determined with the use of PCR-restriction fragment length polymorphism assay and TaqMan assay, respectively. Significantly increased DCM risk was found to be associated with T allele of rs6503691 (P = 0.012, OR = 1.37, 95% CI = 1.07-1.74). We found that increased DCM risk statistically significantly associated with rs6503691 in a dominant model (P = 0.009, OR = 1.50, 95% CI = 1.11-2.04). No association between DCM risk and rs4796793 was observed (P = 0.706, OR = 1.05, 95% CI = 0.83-1.32). The present pilot study provides evidence that both rs6503691 T allele and CT/TT genotypes, but not rs4796793 C/G in the 5' region of STAT3, are associated with a significantly increased risk of DCM, indicating that common genetic polymorphism in STATs is associated with DCM.

Indexed as

Polymorphism, Single NucleotideAdultCardiomyopathy, DilatedCase-Control StudiesChinaFemaleGene FrequencyGenetic Association StudiesHumansLogistic ModelsMaleMiddle AgedSTAT3 Transcription FactorSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID21948258
OpenAlexW2034780582

What OpenQuestion holds

Textmetadata
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.