SynthesisMolecular neurobiology2014
Association between matrix metalloproteinase family gene polymorphisms and ischemic stroke: a meta-analysis.
Synthesis in Molecular neurobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- The association between vascular endothelial growth factor gene polymorphisms and stroke: a meta-analysis.Brain and behavior · 2016Pooled it
- Risk of Erythritol-Associated Ischemic Stroke: Integrated Genetic, Transcriptomic, and Machine Learning Evidence.International journal of molecular sciences · 2026Article
- Matrix Metalloproteinases Family Gene Polymorphisms Are Associated with Thrombosis Risk in Myeloproliferative Neoplasms.International journal of molecular sciences · 2025Article
- Molecular Links and Clinical Effects of Inflammation and Metabolic Background on Ischemic Stroke: An Update Review.Journal of clinical medicine · 2024Review
- Identification of m6A-Related Biomarkers in Systemic Lupus Erythematosus: A Bioinformation-Based Analysis.Journal of inflammation research · 2024Article
- Does the functional polymorphism-1562C/T of MMP-9 gene influence brain disorders?Frontiers in cellular neuroscience · 2023Review
- The roles of MMP8/MMP10 polymorphisms in ischemic stroke susceptibility.Brain and behavior · 2022Article
- MMP9 SNP and MMP SNP-SNP interactions increase the risk for ischemic stroke in the Han Hakka population.Brain and behavior · 2022Article
- Article
- Matrix metalloproteinase-9 gene polymorphisms and their interaction with environment on subarachnoid hemorrhage risk.Experimental biology and medicine (Maywood, N.J.) · 2018Article
- Association of the matrix metalloproteinase-3 polymorphisms rs679620 and rs3025058 with ischemic stroke risk: a meta-analysis.Neuropsychiatric disease and treatment · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous studies have studied the relationships between matrix metalloproteinase (MMP) family gene polymorphisms and ischemic stroke. However, findings remain controversial. The objective of this study was to evaluate the relationships between MMP gene polymorphisms and ischemic stroke by using a meta-analysis. The PubMed, Embase, and Cochrane library databases were systemically searched. Data were extracted by two independent reviewers, and pooled odds ratio (OR) with 95 % confidence interval (CI) were calculated. Eleven studies were enrolled, including a total of 589 cases and 494 controls of MMP-1 -1607 1G/2G; 1,817 cases and 1,731 controls of MMP-3 -1612 5A/6A; and 540 cases and 547 controls of MMP-9 -1562C/T. Under the dominant and recessive models, respectively, the overall ORs and 95 % CIs of -1607 2G were 1.54, 1.16-2.04 (P = 0.005) and 1.25, 0.95-1.65 (P = 0.457); the overall ORs and 95 % CIs of -1612 6A were 1.01, 0.84-1.21 (P = 0.003) and 0.88, 0.75-1.03 (P = 0.057); and the overall ORs and 95 % CIs of -1562T were 0.78, 0.59-1.02 (P = 0.460) and 1.65, 0.73-3.75 (P = 0.340). No publication bias was found in this meta-analysis. This meta-analysis showed that MMP-1 -1607 1G/2G and MMP-3 -1612 5A/6A were risk factors for ischemic stroke, while MMP-9 -1562C/T was not associated with ischemic stroke.
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Registered trials
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.