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©2013 Baishideng.
World J Meta-Anal. May 26, 2013; 1(1): 47-56
Published online May 26, 2013. doi: 10.13105/wjma.v1.i1.47
Published online May 26, 2013. doi: 10.13105/wjma.v1.i1.47
Ref. | Location | Sample size | Age (case/control, yr) | Source of control | Assessment | End points | OR (95%CI) | NOS | |
PD | CHD | ||||||||
Li et al[13] | China | 88/128 | > 60 | Hospital-based | PI | C | CHD | 1.85 (1.07-3.20) | 4 |
López et al[14] | Chile | 35/51 | 42.5 ± 5.7/40.5 ± 6.3 | Hospital-based | PPD | ECG | CHD | 3.17 (1.31-7.65)1 | 6 |
Huang et al[15] | China | 146/136 | 58.7 ± 8.9 | Hospital-based | Q | CAG | CHD | 2.27 (1.40-3.68) | 5 |
Liu et al[16] | China | 216/216 | 59.4 ± 15.3/57.9 ± 13.7 | Population-based | PI | CAG | CHD | 5.42 (3.32-8.86) | 4 |
Rutger Persson et al[17] | Sweden | 80/80 | 63.4 ± 8.9/61.9 ± 9.1 | Population-based | ABL | ECG | MI | 14.1 (5.8-34.4)1 | 7 |
Geerts et al[18] | Belgium | 108/62 | 59.2 ± 10.9/57.7 ± 8.7 | Hospital-based | PPD | C | CHD | 6.50 (1.80-23)1 | 7 |
Montebugnoli et al[19] | Italy | 63/50 | 52.3 ± 4.9/54.5 ± 6.1 | Population-based | PPD | CAG | CHD | 4.61 (1.00-23.20)1 | 8 |
Renvert et al[20] | Sweden | 88/80 | 62.7 ± 9.1/NA | Hospital-based | PPD | C | MI | 7.67 (1.13-51.92)1 | 6 |
Tang et al[21] | China | 250/250 | ≥ 45 | Hospital-based | CPI | C | CHD | 1.95 (1.36-2.78) | 4 |
Buhlin et al[22] | Sweden | 143/50 | 65.9 ± 8.6/64.5 ± 8.3 | Population-based | PPD | CAG | CHD | 3.80 (1.68-8.74)1 | 8 |
Liu et al[23] | China | 45/40 | 54.9 ± 8.1/51.2 ± 6.5 | Hospital-based | PI | CAG | CHD | 18.70 (6.25-55.93) | 4 |
Wang et al[24] | China | 216/216 | 59 ± 15/58 ± 14 | Population-based | ABL | CAG | CHD | 1.76 (1.31-2.36)1 | 7 |
Andriankaja et al[25] | United States | 537/800 | 54.6 ± 8.5/55.0 ± 0.0 | Population-based | CAL | C | MI | 2.24 (1.60-3.13)1 | 8 |
Barilli et al[26] | Brazil | 40/59 | 49.2 (30-79) | Hospital-based | CPI | C | CHD | 61 (17.26-214.86) | 5 |
Briggs et al[27] | United Kingdom | 92/79 | 56.7 ± 6.3/58.2 ± 6.7 | Population-based | PPD | CAG | CHD | 3.06 (1.02-9.17)1 | 8 |
Geismar et al[28] | Denmark | 110/140 | 65/62.6 | Hospital-based | ABL | ECG | CHD | 2.0 (0.77-5.08)1 | 7 |
Li et al[29] | China | 357/305 | 72.5 ± 8.9 | Population-based | PI | CAG | CHD | 1.16 (0.91-1.48) | 6 |
Spahr et al[30] | Germany | 263/526 | 61.0 ± 7.1/61.0 ± 7.1 | Population-based | CPI | CAG | CHD | 1.67 (1.08-2.58)1 | 8 |
Zhang et al[31] | China | 77/74 | 50.2 ± 9.6/50.8 ± 9.5 | Population-based | PPD | CAG | CHD | 2.13 (1.08-4.22) | 6 |
Zhang et al[32] | China | 277/238 | 57 ± 11.3/55 ± 10.8 | Hospital-based | CAL | CAG | CHD | 2.70 (1.52-4.80)1 | 7 |
Latronico et al[33] | Italy | 15/19 | 57.7/55.1 | Population-based | ABL | CAG | CHD | 5.85 (1.03-33.12) | 6 |
Nonnenmacher et al[34] | Germany | 45/45 | 63.5 ± 7.4/63.6 ± 7.4 | Hospital-based | CAL | CAG | CHD | 3.2 (1.2-9.0)1 | 7 |
Rech et al[35] | Brazil | 58/57 | 59.3/70 | Hospital-based | PPD | ECG | MI | 1.8 (0.7-4.7)1 | 6 |
Ge et al[36] | China | 13/30 | 55.1 ± 4.8/51.2 ± 4.7 | Hospital-based | CAL | CAG | CHD | 2.53 (1.01-6.32)1 | 6 |
Meng et al[37] | China | 150/150 | 71.2 ± 4.6/71.9 ± 4.7 | Population-based | ABL | C | CHD | 2.95 (1.74-5.02) | 5 |
Wu et al[38] | China | 77/75 | 53.81 ± 8.25/ 51.14 ± 6.44 | Hospital-based | CAL | CAG | CHD | 2.18 (1.52-3.13) | 5 |
Zamirian et al[39] | Iran | 80/80 | 54.0 ± 8.7/51.9 ± 9.4 | Hospital-based | CAL | ECG | MI | 3.18 (1.37-7.42)1 | 6 |
Zhu et al[40] | China | 98/104 | 61.34 ± 9.63 | Population-based | CAL | C | MI | 11.43 (2.59-50.34) | 5 |
Dong et al[41] | China | 161/162 | 33-66/30-70 | Population-based | ABL | CAG | CHD | 5.74 (2.07-15.90)1 | 7 |
Ma et al[42] | China | 146/257 | 45-72 | Hospital-based | CAL | CAG | CHD | 2.36 (1.49-3.73) | 5 |
Oikarinen et al[43] | Kuwait | 88/88 | 48.8 ± 10.0/47.0 ± 11.6 | Hospital-based | ABL | C | CHD | 19.69 (19.36-20.02) | 6 |
Sun et al[44] | China | 167/242 | 68.28 ± 10.53/ 50.18 ± 10.56 | Hospital-based | CAL | CAG | CHD | 9.10 (0.87-95.07)1 | 7 |
Willershausen et al[45] | Germany | 125/125 | 61.8 ± 10.4/63.4 ± 10.7 | Population-based | CAL | ECG | MI | 3.65 (2.02-6.56)1 | 7 |
Bokhari et al[46] | Pakistan | 45/35 | 41.67 ± 5.11/ 40.31 ± 6.97 | Hospital-based | PPD | CAG | CHD | 6.37 (1.26-32.27) | 6 |
Chen[47] | China | 46/34 | 38-68/35-66 | Hospital-based | ABL | CAG | CHD | 9.87 (3.50-27.82) | 4 |
Sikka et al[48] | India | 100/100 | 54.97 ± 7.97/ 55.1 ± 8.08 | Population-based | CPI | CAG | CHD | 2.66 (1.50-4.71) | 7 |
Ashraf et al[49] | Pakistan | 145/145 | 53.3 ± 12.3/51.7 ± 11.6 | Hospital-based | CPI | C | CHD | 1.20 (0.93-1.55)1 | 7 |
Zhang et al[50] | China | 162/162 | 66.7/66.0 | Hospital-based | Q | CAG | CHD | 2.16 (1.65-2.83)1 | 6 |
Ref. | Adjustment |
López et al[14] | DM, systolic blood pressure, and smoking |
Rutger Persson et al[17] | Smoking |
Geerts et al[18] | Age, gender, smoking, DM, hypertension, hyperlipidemia, diet, and alcohol |
Montebugnoli et al[19] | Age, smoking, DM, hypertension, high/low density lipoprotein, CRP, leukocytes, BMI, social class |
Renvert et al[20] | Smoking |
Buhlin et al[22] | Age, gender, smoking, DM, BMI, education, place of birth |
Wang et al[24] | Gender, age, BMI, smoking, hypertension, DM, blood lipid, CRP, white blood count, and fibrinogen |
Andriankaja et al[25] | Age, gender, hypertension, cholesterol, DM, and smoking |
Briggs et al[27] | Smoking, education, alcohol, BMI, exercise, unemployment, hobby, plaque, and CRP |
Geismar et al[28] | Gender, smoking, DM, and education |
Spahr et al[30] | Age, sex, BMI, smoking, alcohol, DM, hypertension, hyperlipoproteinemia, education, exercise, and statin intake |
Zhang et al[32] | Smoking, age, gender, BMI, hypertension, DM, high-density lipoproteincholesterol, total Cholesterol, total glycerin |
Nonnenmacher et al[34] | Smoking and BMI |
Rech et al[35] | Age, gender, smoking, DM |
Ge et al[36] | Blood pressure and BMI |
Zamirian et al[39] | Smoking and alcohol |
Dong et al[41] | Smoking, age, and education |
Sun et al[44] | Age and BMI |
Willershausen et al[45] | Age, gender, and smoking |
Ashraf et al[49] | Age, gender, and education |
Zhang et al[50] | Age, gender, smoking, alcohol, hypertension, and BMI |
Total and subgroup | No. of trials | Heterogeneity | Model | Meta-analysis | |||
I2 (%) | P | OR | 95%CI | P | |||
Total | 38 | 98.59 | < 0.001 | Random | 3.79 | 2.23-6.43 | < 0.001 |
Adjustment for covariates | |||||||
Yes | 21 | 66.02 | < 0.001 | Random | 2.72 | 2.13-3.46 | < 0.001 |
No | 17 | 98.68 | < 0.001 | Random | 4.62 | 2.10-10.18 | < 0.001 |
Source of control | |||||||
HB | 22 | 98.5 | < 0.001 | Random | 4.04 | 2.00-8.12 | < 0.001 |
PB | 16 | 80.38 | < 0.001 | Random | 3.08 | 2.23-4.26 | < 0.001 |
Methodological quality (NOS) | |||||||
< 6 | 11 | 83.28 | < 0.001 | Random | 3.38 | 1.75-6.52 | < 0.001 |
≥ 6 | 27 | 98.73 | < 0.001 | Random | 4.16 | 2.71-6.40 | < 0.001 |
End point | |||||||
CHD | 31 | 98.75 | < 0.001 | Random | 3.63 | 2.00-6.59 | < 0.001 |
MI | 7 | 70.15 | < 0.001 | Random | 4.12 | 2.35-7.22 | < 0.001 |
Assessment of PD | |||||||
ABL | 8 | 97.93 | < 0.001 | Random | 5.57 | 1.90-16.33 | < 0.001 |
CAL | 10 | 0 | 0.5 | Fixed | 2.54 | 2.13-3.04 | < 0.001 |
CPI | 5 | 90.24 | < 0.001 | Random | 2.76 | 1.45-5.23 | < 0.001 |
PI | 5 | 91.95 | < 0.001 | Random | 3.12 | 1.38-7.05 | < 0.001 |
PPD | 8 | 0 | 0.76 | Fixed | 3.55 | 2.39-5.27 | < 0.001 |
Questionnaire | 2 | 0 | 0.86 | Fixed | 2.19 | 1.73-2.77 | < 0.001 |
Assessment of CHD | |||||||
CAG | 22 | 73.04 | < 0.001 | Random | 2.85 | 2.23-3.64 | < 0.001 |
Cardiologists | 10 | 99 | < 0.001 | Random | 5.09 | 1.71-15.14 | < 0.001 |
ECG | 6 | 60.72 | 0.03 | Random | 3.55 | 2.06-6.12 | < 0.001 |
Ethnicity | |||||||
America | 4 | 88.24 | < 0.001 | Random | 4.75 | 1.50-15.02 | 0.01 |
Asia | 23 | 99.01 | < 0.001 | Random | 3.46 | 1.73-6.94 | < 0.001 |
Europe | 11 | 56.82 | 0.01 | Random | 3.81 | 2.46-5.91 | < 0.001 |
- Citation: Leng WD, Zeng XT, Chen YJ, Zhan ZQ, Yang Y. Periodontal disease is associated with increased coronary heart disease risk: A meta-analysis based on 38 case-control studies. World J Meta-Anal 2013; 1(1): 47-56
- URL: https://www.wjgnet.com/2308-3840/full/v1/i1/47.htm
- DOI: https://dx.doi.org/10.13105/wjma.v1.i1.47