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. 2021 Aug 11;20(2):1327–1336. doi: 10.1007/s40200-021-00861-9

Table 1.

Characteristics of the included studies

ID Study characteristics Outcome and exposure characteristics Findings Quality scores
(9)
First authors, year, country Study subject Age
Mean ± SD
Study design Sample
size
Male% Definition of hyperglycemia Definition of periodontitis Effect size (95% CI) Confounders
1 Hendri Susanto, 2012, Indonesia [27]

Diabetic patient

Healthy control

50.71 ± 10.3 Case–control

Case group: 101

Control group: 132

31.75% HbA1c > 6.5% PD (≥ 4 mm) and AL (≥ 3 mm) OR: 3.58 (1.77–7.24) _ 7
PD (≥ 5 mm) AL (≥ 2 mm) OR: 4.20 (2.41–7.30)
2 Shu-Fen Chuang, 2005, Taiwa [17]

Diabetic patient

Healthy control

57.5 Case–control

Case group: 85

Control group: 43

29.68% HbA1c > 9% CPI ≥ 4 mm; (PD ≥ 4 to 5 mm) OR: 1.86 ( 0.98- 3.50) _ 6
3 Katz J, 2001, Israel [16]

Normal serum glucose levels

Abnormal serum glucose levels

Cross-sectional 10,590 FBS > 120 mg/dl CPI > 4.5 OR: 2.46 ( 1.86- 3.20) _ 6
4 Farzeen Tanwir, 2010, Karachi [29]

Controlled diabetic patients

Uncontrolled diabetic patients

49.23 ± 9.49 Cross-sectional

Case group: 141

Control group: 143

38.10% HbA1c > 7.5% GI > 2 mm OR: 2.49 (1.50–4.13) Age, and gender 6
PI > 2 mm OR: 1.80 (1.11–2.93)
PI > 2 mm OR: 2.35 (1.37–4.02)
CI > 0.75 mm OR: 1.65 (0.98–2.78)
5 Shimazaki, 2007, Japan [25] Women population 55.7 ± 18.8 Cross-sectional 584 0% FBS > 110 PD ≥ 2 mm OR: 2.20 (1.30–3.90) Age, smoking status, lipid-lowering medication, and total cholesterol 9
CAL ≥ 3 mm OR: 1.70 (0.70–4.00)
6 Khader, 2008, Jordan [30]

Patients with metabolic syndrome

Persons without metabolic syndrome

48.3 ± 13.0

46.1 ± 10.9

Cross-sectional 156 35.9% FBS > 110 mg/dl CAL > 3 mm β = 8.0, SE = 3.5 Age, gender, education, income, smoking, frequency of tooth brushing 8
PD > 3 mm β = 7.9, SE = 3.6
Average CAL β = 2.3, SE = 0.14
Average PD β = 0.74, SE = 0.17
7

Kushiyama, 2009, Japan

[12]

General population 40–70 Cross-sectional 1,070 26.7% FBS > 110 CPI ≥ 3 OR: 1.27 (0.83 to 1.96) Age, gender, and smoking habits 8
8 Benguigui, 2010, France [19] General population 35–74 Cross-sectional 255 54.9% FBS < 126 mg/dl CAL ≥ 4 mm, with PD ≥ 5 mm, OR: 0.88 (0.27–2.81) Age, gender, educational level, smoking habits, alcohol consumption, CRP, and dental plaque 9

CAL ≥ 6 mm,

with PD ≥ 5 mm

OR: 1.55 (0.46–5.25)
9 Kwon, 2011, Korea [15] General population

No periodontitis 37.79

Periodontitis 55.00

Cross-sectional 7,178 37.5% FBS < 100 mg/dl CPI ≥ 3(3.5 mm > pocket) OR: 2.45 (2.20–2.74) Age, smoking habits, alcohol intake, tooth brushing frequency and present number of teeth 9
10 Minagawa, 2015, Japan [22] Elderly population  > 80 Cross-sectional 234 47.4% HbA1c ≥ 6.0% PD ≥ 5 mm or CAL ≥ 6 mm OR: 1.42 (0.71–2.84) Gender, income, education, smoking status, brushing frequency, exercise food intake, visit dentistry 9
11 Timonen, 2010, Finland [24] General population 30 to 64 Cross-sectional 2,050 39.2% FBS ≥ 6.1 mmol/L PD ≥ 4 mm RR: 0.91 (0.70–1.18) Gender, age, education, plaque level, tooth brushing frequency, dental attendance pattern, and alcohol 8
FBS ≥ 6.1 mmol/L PD ≥ 6 mm RR: 0.60 (0.32–1.13)
12 Thanakun, 2014, Taiwan [20]

Patients with metabolic syndrome

Persons without metabolic syndrome

35–76 Cross-sectional 125 42.4% FPG* levels ≥ 100 mg/dL Severe Periodontitis CAL > 4 mm OR: 1.81 (0.55 to 5.96) Age, sex, alcohol consumption, education level, and frequency of tooth brushing 8
FPG levels ≥ 100 mg/dL Moderate/Severe Periodontitis (PD ≥ 4 mm and BOP > 10%) OR: 0.88 (0.12 to 6.49)
13 Masanori Iwasaki, 2015, Japan [28] Elderly population 75 Cohort 125 89.55% HbA1c ≥ 6% CAL ≥ 3 mm RR: 0.86 (0.36–2.06) Gender, income, education, smoking status, number of the teeth 7
No. of teeth RR: 1.88 (0.86- 4.10)
14 Wijnand J, 2017, Netherlands [23]

Periodontitis patient

Without periodontitis patient

Case–control 313 48.27% HbA1c > 6.5%

PD ≥ 5 mm

CAL ≥ 6 mm

OR: 2.73) 1.60–4.68 ( Sex, age, ethnicity, education, smoking, history of periodontal treatment 7

PD ≥ 4 mm

CAL ≥ 3 mm

OR: 1.76 (1.03–3.00)
15 D´Aiuto, 2008, USA [18] General population

Severe periodontitis 52.3

Moderate periodontitis 54.2

Mild or no periodontitis 38.7

Cross-sectional 13,677 62.0% FBS > 110 g/dl

CAL > 6 mm (two sites not

on the same tooth or greater)

PD > 4 mm (one site or greater)

OR: 1.71 (1.16 –2.54) Age, sex, years of education, poverty to income ratio, ethnicity, general conditions, and smoking 9

CAL > 4 mm

(two sites not on the same tooth)

PD > 4 mm(one site)

OR: 1.13 (0.84–1.53) Age, sex, years of education, poverty to income ratio, ethnicity, general conditions, and smoking
16 Morita, 2010, Japan [14] Adult employees 37.3 Retrospective Cohort 1,023 71.0% FBS ≥ 110 mg/dl CPI > 3 (PD > 4 mm) OR: 1.4 (1.0 to 2.1) Age, gender, smoking habit, exercise, eating between meals, and healthy body weight 8
Missing teeth: One or more OR: 1.0 (0.6 to 1.5)
17 Morita, 2009, Japan [13] Adult employees 43.3 Cross-sectional 2,478 81.8% FBS ≥ 110 mg/dL CPI > 3 (PD > 4 mm) OR: 1.9 (1.4–2.7) Age, gender, and smoking habit. CI, confidence interval
HbA1c ≥ 5.5 CPI > 3 (PD > 4 mm) OR: 2.0 (1.5–2.6)
18 LaMonte, 2014, USA [21] Postmenopausal women 50 to 79 years Cross-sectional 657 0% FBS ≥ 100 mg/dL

tooth loss;

ACH ≥ 3 mm or 2 sites CAL ≥ 5 mm or ≥ 1 tooth loss

OR: 0.96 (0.54 to 1.71) Age, smoking, hormone therapy, history of diagnosed heart disease, tooth brushing, dental visits, 8
 ≥ 2 interproximal sites with CAL ≥ 6 mm or ≥ 1 interproximal site with PD ≥ 5 mm OR: 0.86 (0.44 to 1.70)
PI ≥ 50% of sites OR: 1.40 (0.83 to 2.32)
19 Lei Chen, 2010, China [26]

Periodontitis patient

Without periodontitis patient

36–85 Case–control 140 63.04% HbA1c > 8.0% PD) 2.76 to 4.95 mm( OR: 3.83 (1.78–8.26) Age, gender, BMI, and smoking 7
F-glucose PD) 2.76 to 4.95 mm( OR: 2.38(1.12–5.06)
HbA1c > 8.0% PD (2.26 to 2.75 mm) OR: 2.96 (1.40–6.28)
F-glucose PD (2.26 to 2.75 mm) OR: 2.05(0.97–4.30)

FBG Fasting plasma glucose test, MetS metabolic syndrome, PD Probing depth, CAL Clinical attachment loss, CPI Community Periodontal Indices, ACH alveolar crest height, PI plaque indices;