Evidence map›Paper›PMID 28920998›Full record

SynthesisHerz2018

Quantitative evaluation of PPAR-γ2 Pro12Ala polymorphism with hypertension.

W Yang, J Wang, W Ye, X Li

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Herz, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 2 institutions in 1 country.

W YangSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, 201318, Shanghai, China.
J WangSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, 201318, Shanghai, China.
W YeSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, 201318, Shanghai, China.
X LiBio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China. xhli@sjtu.edu.cn.
Shanghai University of Medicine and Health Sciences · CNShanghai Jiao Tong University · CN

Funding

Shanghai University Young Teacher Training Program ZZJKYX15021
6 · The paper itself

Abstract

backgroundThe peroxisome proliferator-activated receptor γ2 (PPARγ2)Pro12Ala polymorphism has been reported to be associated with hypertension. However, relevant studies have shown inconsistent results.

methodsTo quantitatively evaluate the relationship between the PPARγ2Pro12Ala polymorphism and hypertension risk, we conducted a meta-analysis based on all available studies selected from Scopus, Web of Science, PubMed, Chinese National Knowledge Infrastructure, and Wanfang databases.

resultsIn all, 13 studies were finally included in this meta-analysis. In the allelic model (Ala vs. Pro), the Ala allele of PPARγ2 Pro12Ala polymorphism was associated with hypertension (Odds Ratio [OR] = 0.723, 95% confidence interval [CI] = 0.607-0.861). Sensitivity analysis and exclusion of studies with poor quality scores or controls complicated by other diseases confirmed the validity of this association. Moreover, the PPARγ2Pro12Ala polymorphism was associated with hypertension in the codominant (OR = 0.710, 95% CI = 0.626-0.806), recessive (OR = 0.561, 95% CI = 0.418-0.754), and dominant (OR = 0.693, 95% CI = 0.577-0.833) models.

conclusionThe Ala allele appears to have a protective effect against hypertension and a dominant function.

Indexed as

Genetic Predisposition to DiseaseHypertensionPPAR gammaAsian PeopleHumansPolymorphism, GeneticPPAR gammaGenetic polymorphismHypertensionMeta-analysisPeroxisome proliferator-activated receptorPPAR gamma

Identifiers

PMID28920998
OpenAlexW2756290444

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.