Evidence map›Paper›PMID 22900090›Full record

SynthesisPloS one2012

Bradykinin β2 receptor -58T/C gene polymorphism and essential hypertension: a meta-analysis.

Yan-yan Li, Hui Zhang, Jian Xu, Yun Qian, Xin-zheng Lu, Bing Yang, Minglong Chen, Zhi-jian Yang, Ke-jiang Cao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frontiers in genetics · 2018
    Article
  6. The risk of bradykinin B2 receptor-58T/C gene polymorphism on hypertension: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
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

9 authors at 2 institutions in 1 country.

Yan-yan LiDepartment of Geriatrics, First Affiliated Hospital of Nanjing Medical University, Nanjing, China. lyynjmu123@126.com
Hui Zhang
Jian Xu
Yun Qian
Xin-zheng Lu
Bing Yang
Minglong Chen
Zhi-jian Yang
Ke-jiang Cao
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has shown that bradykinin β(2) receptor (BDKRB2) -58T/C gene polymorphism is correlated with the risk of essential hypertension (EH), but the results remain inconclusive. OBJECTIVE AND

methodsThe objective of this study was to explore the association between BDKRB2-58T/C gene polymorphism and EH. A meta-analysis of 11 studies with 3882 subjects was conducted. Pooled odds ratios (ORs) for the association between BDKRB2-58T/C gene polymorphism and EH and their corresponding 95% confidence intervals (CIs) were estimated using the random effects model.

resultsThe BDKRB2-58T/C gene polymorphism was significantly correlated with EH under an allelic genetic model (OR = 1.24, 95% CI = 1.05-1.46; P = 0.01), a dominant genetic model (OR = 0.65, 95% CI = 0.47-0.90; P = 0.01), a recessive genetic model (OR = 1.146, 95% CI = 1.035-1.269; P = 0.009), a homozygote genetic model (OR = 1.134, 95% CI = 1.048-1.228; P = 0.002), and a heterozygote genetic model (OR = 1.060, 95% CI = 1.009-1.112; P = 0.019).

conclusionsThe BDKRB2-58T/C gene polymorphism is associated with increased EH risk. The results of this study suggest that carriers of the -58C allele are susceptible to EH.

Indexed as

Polymorphism, Single NucleotideAllelesGene FrequencyGenes, DominantGenetic Predisposition to DiseaseGenotypeHumansHypertensionPublication BiasReceptor, Bradykinin B2Receptor, Bradykinin B2

Identifiers

PMID22900090
PMCPMC3416764
OpenAlexW2084075518

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.