Evidence map›Paper›PMID 26744701›Full record

ReviewIranian journal of public health2015

Association of Matrix Metalloproteinase-9 Gene -1562C/T Polymorphism with Essential Hypertension: A Systematic Review and Meta-Analysis Article.

Wenchao Yang, Jiaojiao Lu, Liu Yang, Jinjin Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 16 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

4 authors at 4 institutions in 1 country.

Wenchao YangSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Jiaojiao LuShanghai Pudong New District Zhoupu Hospital, Shanghai, China.
Liu YangShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Jinjin ZhangShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China.
Pudong Medical Center · CNShanghai Institute of Applied Physics · CNShanghai Jiao Tong University · CNShanghai University of Medicine and Health Sciences · CN

Funding

EPA EP-C-15-010
6 · The paper itself

Abstract

backgroundMatrix metalloproteinase-9 (MMP-9) gene -1562C/T polymorphism could regulate its expression level and thus affected people's predisposition to essential hypertension. However, related studies yielded inconsistent or contradictory results.

methodsTo evaluate the association of MMP-9 -1562C/T polymorphism with essential hypertension, we performed a meta-analysis by combining all available independent case-control studies (n=6).A systematic literature search of PubMed, Web of Science, Scopus and CNKI (Chinese National Knowledge Infrastructure) databases was conducted by two researchers independently for all relevant articles published before March 2015.

resultsMMP-9 -1562C/T polymorphism was associated with essential hypertension under the allelic model (T vs.C, OR=1.36, 95% CI=1.17-1.59, P<0.0001). Subsequent sensitivity analysis confirmed the stability of the results. Such association was also observed in the dominant (TT+CT vs. CC, OR=1.30, 95% CI=1.10-1.54, P=0.002) and co-dominant (CT vs. TT+CC, OR=1.27, 95% CI=1.05-1.53, P=0.01) models but not in the recessive model (TT vs. CT+CC, OR=1.30, 95% CI=0.50-3.36, P=0.59).

conclusionMMP-9 -1562C/T polymorphism was associated with the risk of essential hypertension.

Indexed as

Essential hypertensionMeta-analysisMMP-9

Identifiers

PMID26744701
PMCPMC4703223
OpenAlexW2175464701

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.