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Table 1 Characteristics of studies included in the meta-analysis

From: Association of hyperhomocysteinemia and chronic kidney disease in the general population: a systematic review and meta-analysis

Author/

year

Country

Study type

Population

(M/F)

Age

(year)

HHcy

(umol/L)

adOR

(95%CI)

Adjustments

Quality evaluation NOS or AHRQ

Ninomiya 2004 [24]

Japan

Cohort study

1477

(596/881)

≥ 40

M > 10.6

 F > 8.3

2.52

(1.21, 5.25)

Age, systolic blood pressure, habitual smoker, etc.

high

Shankar 2008 [23]

Australia

Cross sectional

sutdy

2609

(1080/1529)

≥ 49

≥ 15

1.41

(1.06,1.88)

age, sex, smoking, alcohol, body mass index, etc.

high

Chuang 2013 [22]

China

Cross sectional

study

19,372

(14,874/4498)

≥ 18

≥ 11.82

1.56

(1.13,2.15)

age, smoking, fasting glucose level,arterial pressure, etc.

high

Chao

2014 [21]

China

Cross sectional

study

1581

(894/687)

≥ 18

≥ 12.24

6.73

(3.15,14.41)

Age, gender, alcohol diabetes smoking,, consumption, etc.

high

Levi

2014 [20]

Israel

Cross sectional

study

3602

(2692/910)

≥ 20

≥ 15

3.2

(1.3, 7.6)

age, eGFR, mean BMI, mean HDL cholesterol, log-mean FA,, etc.

high

Chen

2015 [19]

China

Cross sectional

study

999

(737/262)

≥ 18

≥ 10.1

4.85

(1.06,22.31)

Age,smoking, leptin, eGFR, arterial pressure, etc.,

high

Xie

2015 [18]

China

Cohort study

2387

(578/1809)

≥ 45

> 15

2.44

(1.26,4.72)

age, gender, SBP, diabetes, smoking, cholesterol, etc.

fair

Kong

2017 [17]

China

Cohort study

5917

(4410/1507)

≥ 40

≥ 15

1.6

(0.91,7.78)

age, sex, diabetes, BMI, uric acid, smoking, etc.

fair

Lai

2018 [16]

China

Cross sectional

study

24,826

(19,076/5750)

≥ 18

> 11.81

2.12

(1.75,2.57)

gender, age, smoking, diabetes hypertension,etc.

high

Moon

2020 [15]

South Korea

Cross sectional

study

15,220

(9059/6161)

≥ 19

≥ 15

1.98

(1.71,2.3)

smoking, drinking, physical activity, albumin level, etc.

high

Xiao

2021 [6]

China

Cohort study

1426

(607/819)

> 18

> 15

4.29

(1.42,12.99)

age, sex, diabetes mellitus, smoking, BMI, etc.

high