HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

The role of Factor V Leiden in adult patients with venous thromboembolism: a meta-analysis of published studies from Turkey.

Abstract
Factor V Leiden (FVL) is the most common inherited risk factor for venous thromboembolism (VTE). The frequency of FVL in patients with VTE has been reported from different parts of Turkey. A meta-analysis was performed to estimate the risk of VTE associated with FVL in Turkish population. Published studies were retrieved from Pubmed and Science Citation Index/Expanded. We selected studies comparing the prevalence of FVL in patients with VTE with controls. The analysis was performed by the software comprehensive meta-analysis. The analysis consisted of 10 studies including 1202 patients with VTE and 1283 controls. The pooled frequency of FVL was significantly higher in patients with VTE (22.8%) than controls (7.6%). The pooled odds ratio (OR) was 3.4 (95% confidence interval [CI], 2.6-4.5). The study showed homogeneity (Q value, 9.955). No publication bias was observed in any comparison model. Our meta-analysis showed an association of FVL with VTE in Turkey.
AuthorsAydan Eroglu, Durdu Sertkaya, Nejat Akar
JournalClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis (Clin Appl Thromb Hemost) 2012 Jan-Feb Vol. 18 Issue 1 Pg. 40-4 ISSN: 1938-2723 [Electronic] United States
PMID21733936 (Publication Type: Journal Article, Meta-Analysis)
Chemical References
  • factor V Leiden
  • Factor V
Topics
  • Factor V
  • Female
  • Humans
  • Male
  • PubMed
  • Risk Factors
  • Thromboembolism (epidemiology, genetics, metabolism)
  • Turkey (epidemiology)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: