Evidence map›Paper›PMID 22209986›Full record

SynthesisMolecular biology reports2012

Transforming growth factor-β1 gene +869T/C, but not +915G/C polymorphism is associated with essential hypertension in a Chinese patient cohort.

Bo Xi, Qijuan Wang, Haiyan Pan

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 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
0.8field-weighted citation impact, top 28% 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, 7 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Bo XiDepartment of Maternal and Child Health Care, School of Public Health, Shandong University, No 44 Wen Hua Xi Road, Jinan, 250012, China. xibo2007@126.com
Qijuan Wang
Haiyan Pan
Guangdong Medical College · CNShandong Maternal and Child Health Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have suggested that transforming growth factor-β1 (TGF-β1) gene might be involved in the development of hypertension. However, results have been inconsistent. In this study, the authors performed a meta-analysis to investigate the associations of +869T/C and +915G/C polymorphisms in TGF-β1 gene with hypertension risk in Chinese. Published literature from PubMed, EMBASE, CNKI, CBM, and Wanfang Data were searched. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using fixed or random-effects model. Nine studies (1,995 cases/1,840 controls) for +869T/C polymorphism and seven studies (1,547 cases/1,577 controls) for +915G/C polymorphism were included in the meta-analysis. The overall result showed that there was a statistically significant association between +869T/C polymorphism and hypertension risk (CC vs. TT: OR = 1.80, 95% CI 1.34-2.44). Similar results were found among two geographic locations and two subgroups with different sample size. However, no significant association was found for +915G/C polymorphism with the risk of hypertension (CC vs. GG: OR = 1.66, 95% CI 0.74-3.74). The meta-analysis indicated the significant association of +869T/C, but not +915G/C polymorphism with hypertension susceptibility. However, given the limited sample size, the associations warrant further investigation.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAsian PeopleChinaCohort StudiesConfidence IntervalsHumansHypertensionOdds RatioPolymorphism, Single NucleotidePublication BiasTransforming Growth Factor beta1TGFB1 protein, humanTransforming Growth Factor beta1

Identifiers

PMID22209986
OpenAlexW2066836711

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.