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Correlations between Phlegm Syndrome of Chinese Medicine and Coronary Angiography: A Systematic Review and Meta-Analysis.

Zhang QY, Liang H, Gong HW, Huang HY, Zhou XQ, Sun X - Evid Based Complement Alternat Med (2015)

Bottom Line: According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included.We concluded that the coronary arteries lesions of CAD patients with phlegm syndrome were more severe than those with nonphlegm syndromes.Phlegm syndrome should, therefore, be regarded as a dangerous pattern of CAD with worse prognosis.

View Article: PubMed Central - PubMed

Affiliation: Hunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.

ABSTRACT
Phlegm is one of the most common patterns of coronary artery disease (CAD) in Chinese medicine. Our research was aimed at investigating the association between phlegm syndrome of CAD and coronary angiography (CAG) by meta-analysis. According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included. The meta-analysis showed that phlegm syndrome patients were prone to multivessel disease (28 studies, OR = 1.53, 95% CI, 1.24 to 1.88, P < 0.01) and higher Gensini score (2 studies, OR = 5.90, 95% CI, 1.86 to 9.94, P = 0.004), but not obviously relevant to severe stenosis (≥75%) of coronary arteries (13 studies, OR = 1.20, 95% CI, 0.63 to 2.27, P = 0.57). We concluded that the coronary arteries lesions of CAD patients with phlegm syndrome were more severe than those with nonphlegm syndromes. Phlegm syndrome should, therefore, be regarded as a dangerous pattern of CAD with worse prognosis.

No MeSH data available.


Related in: MedlinePlus

Meta-analysis of association between phlegm syndrome and Gensini score.
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fig5: Meta-analysis of association between phlegm syndrome and Gensini score.

Mentions: After the 30 eligible studies involving 5,055 CAD patients were pooled, there was a significant association between phlegm syndrome and CAG in some parameters. Overall, the multivessel disease OR associated with phlegm syndrome was 1.53 (95% CI, 1.24 to 1.88, P < 0.01; I2 = 47%, Figure 3), while severe artery stenosis was 1.20 (95% CI, 0.63 to 2.27, P = 0.57; I2 = 84%, Figure 4) and Gensini score was 5.90 (95% CI, 1.86 to 9.94, P = 0.004; I2 = 0%, Figure 5). Although the heterogeneity among the analyzed studies was high, most of the studies referred to a positive association for multivessel disease. As the studies were divided into two subgroups by SED or CSD, the OR of multivessel disease in SED group was 1.34 (95% CI, 1.08 to 1.67, P = 0.008; I2 = 10%, Figure 3), showing that the heterogeneity between the studies decreased substantially compared with the main analysis (Figure 3). For the association between phlegm syndrome and degree of artery stenosis, though the result was negative, the heterogeneity between the analyzed studies of thesis subset sharply reduced (I2 = 0) compared with the main analysis (Figure 4).


Correlations between Phlegm Syndrome of Chinese Medicine and Coronary Angiography: A Systematic Review and Meta-Analysis.

Zhang QY, Liang H, Gong HW, Huang HY, Zhou XQ, Sun X - Evid Based Complement Alternat Med (2015)

Meta-analysis of association between phlegm syndrome and Gensini score.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4477186&req=5

fig5: Meta-analysis of association between phlegm syndrome and Gensini score.
Mentions: After the 30 eligible studies involving 5,055 CAD patients were pooled, there was a significant association between phlegm syndrome and CAG in some parameters. Overall, the multivessel disease OR associated with phlegm syndrome was 1.53 (95% CI, 1.24 to 1.88, P < 0.01; I2 = 47%, Figure 3), while severe artery stenosis was 1.20 (95% CI, 0.63 to 2.27, P = 0.57; I2 = 84%, Figure 4) and Gensini score was 5.90 (95% CI, 1.86 to 9.94, P = 0.004; I2 = 0%, Figure 5). Although the heterogeneity among the analyzed studies was high, most of the studies referred to a positive association for multivessel disease. As the studies were divided into two subgroups by SED or CSD, the OR of multivessel disease in SED group was 1.34 (95% CI, 1.08 to 1.67, P = 0.008; I2 = 10%, Figure 3), showing that the heterogeneity between the studies decreased substantially compared with the main analysis (Figure 3). For the association between phlegm syndrome and degree of artery stenosis, though the result was negative, the heterogeneity between the analyzed studies of thesis subset sharply reduced (I2 = 0) compared with the main analysis (Figure 4).

Bottom Line: According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included.We concluded that the coronary arteries lesions of CAD patients with phlegm syndrome were more severe than those with nonphlegm syndromes.Phlegm syndrome should, therefore, be regarded as a dangerous pattern of CAD with worse prognosis.

View Article: PubMed Central - PubMed

Affiliation: Hunan University of Chinese Medicine, Science-Education Industrial Park, Yuelu Region, Changsha 410208, China.

ABSTRACT
Phlegm is one of the most common patterns of coronary artery disease (CAD) in Chinese medicine. Our research was aimed at investigating the association between phlegm syndrome of CAD and coronary angiography (CAG) by meta-analysis. According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included. The meta-analysis showed that phlegm syndrome patients were prone to multivessel disease (28 studies, OR = 1.53, 95% CI, 1.24 to 1.88, P < 0.01) and higher Gensini score (2 studies, OR = 5.90, 95% CI, 1.86 to 9.94, P = 0.004), but not obviously relevant to severe stenosis (≥75%) of coronary arteries (13 studies, OR = 1.20, 95% CI, 0.63 to 2.27, P = 0.57). We concluded that the coronary arteries lesions of CAD patients with phlegm syndrome were more severe than those with nonphlegm syndromes. Phlegm syndrome should, therefore, be regarded as a dangerous pattern of CAD with worse prognosis.

No MeSH data available.


Related in: MedlinePlus