ArticleMolecular and clinical oncology2015
Vascular endothelial growth factor polymorphisms as effect modifiers of oral squamous cell carcinoma risk: A systematic review and meta-analysis.
Article in Molecular and clinical oncology, 2015. 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.
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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Association of VEGF-116G/A Promoter Polymorphism with Esophageal Cancer Risk: A Case-Control study and an Updated Meta-Analysis on Gastrointestinal Tract Cancers.Asian Pacific journal of cancer prevention : APJCP · 2023Pooled it
- Article
- Independent evaluation of a FOXM1-based quantitative malignancy diagnostic system (qMIDS) on head and neck squamous cell carcinomas.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smoking is one of the main risk factors for the development of oral squamous cell carcinoma (OSCC). Smoking may affect single-nucleotide polymorphism (SNP)-dependent vascular endothelial growth factor (VEGF)-induced angiogenic activity. Therefore, we systematically reviewed the published VEGF-SNP genotype data of OSCC patients and healthy individuals and performed a meta-analysis comparing the VEGF-SNP genotypes of smoking and non-smoking patients in association with OSCC incidence. Prospective and retrospective studies on the clinical comparison of OSCC patients with different VEGF-SNP genotypes were reviewed. The meta-analysis re-pooled studies of smoking and non-smoking OSCC patients with different VEGF-SNPs between 2006 and 2014. The identified articles were reviewed and those reporting pertinent information, assignment to smoking and non-smoking patient groups and sufficient data for estimation of an odds ratio (OR) with a 95% confidence interval (CI) were selected for the meta-analysis. Pooled ORs and CIs for the comparison of SNP distribution in the smoking and non-smoking subgroups were calculated and compared using the random-effects model. A total of 7 studies were included in the systematic review, which was followed by a meta-analysis using 3 pertinent studies. The reviewed studies reported discrepant findings, with differences between Asian and European patients. The meta-analysis demonstrated marginal but not statistically significant differences, suggesting that specific VEGF-SNPs may be OSCC risk modifiers for smokers, depending on the ethnic background. The performed meta-analysis suggested an increased OSCC risk for smokers carrying specific VEGF-genotypes, although the calculated data did not reach the level of significance. However, data have to be interpreted with caution due to the limited sample size. Therefore, further studies, including larger patient samples, are mandatory.
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Identifiers
What OpenQuestion holds
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.