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Association between hypertension and deep vein thrombosis after orthopedic surgery: a meta-analysis

Overview of attention for article published in European Journal of Medical Research, March 2016
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Title
Association between hypertension and deep vein thrombosis after orthopedic surgery: a meta-analysis
Published in
European Journal of Medical Research, March 2016
DOI 10.1186/s40001-016-0207-z
Pubmed ID
Authors

Lei Huang, Jie Li, Yong Jiang

Abstract

We aimed to analyze the association between hypertension and deep vein thrombosis (DVT) after orthopedic surgery. Relevant studies were identified by a search of PubMed, Embase, China National Knowledge Infrastructure, Wanfang, the Chinese Biomedical Literature, and Weipu database until December 2015. The association between hypertension and DVT after orthopedic surgery was assessed by pooled odds ratios (ORs) and 95 % confidence intervals (CIs). Heterogeneity was evaluated by the Chi-square test based on Q statistic and I (2) statistics. Finally, publication bias was evaluated by Egger's test. A total of 16 articles with 68,955 males and 53,057 females were eventually identified. Studies yielded effects for homogeneous (Q = 38.41, P = 0.0008, and I (2) = 60.9 %). Meta-analysis showed that hypertension was associated with DVT orthopedic surgery (OR 2.89, 95 % CI 2.18-3.83, Z = 7.38, P < 0.05). No statistical evidence of publication bias was found among studies (t = 1.90, P = 0.08). The funnel plot was symmetry, and the results were reliable. Hypertension may promote DVT after orthopedic surgery, and may be an important risk factor of DVT occurrence.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 23%
Researcher 7 11%
Other 6 10%
Student > Master 6 10%
Student > Ph. D. Student 5 8%
Other 6 10%
Unknown 18 29%
Readers by discipline Count As %
Medicine and Dentistry 18 29%
Nursing and Health Professions 11 18%
Biochemistry, Genetics and Molecular Biology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Design 2 3%
Other 5 8%
Unknown 20 32%