| Literature DB >> 26881064 |
Pan Yang1, Wenjun Ma2, Yiqing Zheng3, Haidi Yang3, Hualiang Lin2.
Abstract
Hypertension has been suggested to be one possible risk factor of tinnitus, but the association between hypertension and tinnitus remains uncertain. The authors performed a meta-analysis of the existing studies on the association between hypertension and tinnitus. We performed literature search of studies using SinoMed, CNKI, WanFang, PubMed, Scopus, Web of Science, and Google Scholar. Studies reported the odds ratio and 95% confidence interval (CI) (or provided sufficient information for calculation) of the association between hypertension and tinnitus were included. A total of 19 eligible studies with 20 effect estimates were used in this study. They included 63,154 participants with age ranging from 14 to 92. The pooled OR, which was pooled using a random effects model, was 1.37 (95% CI: 1.16 to 1.62). There was no evidence of publication bias (p = 0.11 for Begg's test, p = 0.96 for Egger's test). By meta-regression, we found that study design may be one possible factor of heterogeneity. Sensitivity analysis found that the result was stable. This study suggests that hypertension might be one risk factor of tinnitus, and hypertension prevention and control might be helpful in preventing tinnitus.Entities:
Year: 2015 PMID: 26881064 PMCID: PMC4735998 DOI: 10.1155/2015/583493
Source DB: PubMed Journal: Int J Hypertens Impact factor: 2.420
Figure 1Flow diagram on the search process.
Description of the study populations included in the meta-analysis (n = 63154).
| First author | Year | Country | Study design | Sample size ( | Age (years) |
|---|---|---|---|---|---|
| Martines [ | 2015 | Italy | Case-control | 120 | 14–85 |
| Park [ | 2014 | South Korea | Cross-sectional | 5140 | ≥40 |
|
| 2014 | South Korea | Cross-sectional | 10061 | 20–97 |
| Chen [ | 2014 | China | Case-control | 204 | NA |
| Sogebi [ | 2013 | Nigeria | Cross-sectional | 127 | ≥41 |
|
| 2013 | American | Cross-sectional | 3520 | 12–19 |
|
| 2013 | American | Cross-sectional | 473 | 70–85 |
|
| 2012 | Brazil | Cross-sectional | 498 | ≥60 |
|
| 2011 | Japan | Cross-sectional | 6450 (men) | 45–79 |
|
| 2011 | Japan | Cross-sectional | 7973 (women) | 45–79 |
|
| 2011 | American | Cross-sectional | 3267 | 21–84 |
|
Negrila-Mezei [ | 2011 | Romania | Case-control | 471 | ≥60 |
|
| 2011 | Turkey | Cross-sectional | 879 | 18–64 |
| Shargorodsky [ | 2010 | American | Cross-sectional | 14178 | NA |
| Michikawa [ | 2010 | Japan | Cross-sectional | 1286 | ≥65 |
| Gopinath [ | 2010 | Australian | Cross-sectional | 1214 | NA |
|
| 2010 | Nigeria | Cross-sectional | 1302 | ≥65 |
|
de Moraes Marchiori [ | 2009 | Brazil | Cross-sectional | 154 | 45–64 |
| Nondahl [ | 2002 | American | Cross-sectional | 3737 | 48–92 |
| Fasce [ | 2002 | Chile | Cross-sectional | 2100 | NA |
OR was adjusted; NA: not available.
Figure 2Forest plot of the associations between hypertension and tinnitus (OR and 95% CI indicate odds ratio and 95% confidence interval).
Figure 3Begg's funnel plot for meta-analysis.
Figure 4Egger's publication bias plot for meta-analysis.
Parameter estimation of meta-regression.
| Variable | Univariate | Multivariate | ||
|---|---|---|---|---|
| Coefficient | 95% CI | Coefficient | 95% CI | |
| Publication year | 0.07 | (−0.02, 0.16) | 0.04 | (−0.06, 0.13) |
| Region | −0.49 | (−1.23, 0.25) | −0.21 | (−0.86, 0.43) |
| Sample size | −3.46 | (−12.14 | 7.06 | (−6.71 |
| Study design | 1.28 | (0.54, 2.02) | 1.10 | (0.07, 2.14) |
| Confounder adjustment | 0.34 | (−0.32, 1.01) | 0.10 | (−0.53, 0.73) |
95% CI indicates 95% confidence interval.
Figure 5Sensitivity analysis.