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Table 1 Baseline characteristics of 30 studies included in a meta-analysis undertaken to explore the rate human immunodeficiency virus (HIV) and tuberculosis (TB) co-infection in China

From: Prevalence and risk factors of tuberculosis among people living with HIV/AIDS in China: a systematic review and meta-analysis

No.

First author, year

Study period

Study design

Study setting

Region (province/ autonomous region)

Sample size

HIV/TB co-infection

Prevalence

Detection rate

1

Bao, 2010 [26]

2007.10-2008.10

Cross-sectional

Population-based

Hunan

2139

94

4.39%

-

2

Cao, 2021 [55]

2014.1.1-2019.12.31

Cross-sectional

Hospital-based

Anhui

2084

24

1.15%

97.52%

3

Chen, 2009 [27]

2007

Cross-sectional

Population-based

Zhejiang

577

33

5.72%

91.44%

4

Chen, 2017 [54]

2012.10-2013.8

Cross-sectional

Population-based

Guangxi

2987

143

4.80%

99.5%

5

Cheng, 2011 [28]

2006.9-2007.2

Cross-sectional

Hospital-based

Henan, Yunnan, Sichuan and Guangxi

3897

250

6.44%

-

6

Chu, 2010 [29]

2007

Cross-sectional

Population-based

Henan

390

7

1.79%

100%

7

Cui, 2022 [52]

2019–2021

Cohort

Hospital-based

Guangxi

4539

36

0.80%

100%

8

Feng, 2013 [31]

2007.1-2010.12

Cross-sectional

Population-based

Hubei

381

37

9.71%

86.8%

9

He, 2014 [32]

2007.1.31-2012.12.31

Cross-sectional

Hospital-based

Guangxi

2377

96

4.04%

-

10

Huang, 2014 [33]

2007–2011

Cross-sectional

Population-based

Jiangxi

1659

105

6.33%

95%

11

Li, 2010 [34]

2007.1.1-2010.6.30

Cross-sectional

Population-based

Xinjiang

19,453

2104

10.82%

85.34%

12

Li, 2015 [35]

2012–2014

Cross-sectional

Hospital-based

Xinjiang

1195

91

7.60%

83%

13

Liu, 2014 [36]

2007–2011

Cross-sectional

Population-based

Hubei

404

5

1.24%

100%

14

Lv, 2019 [37]

2011.1-2017.12

Case–control

Hospital-based

Sichuan

1366

127

9.30%

100%

15

Mai, 2017 [51]

2006.11-2011.12

Cross-sectional

Hospital-based

Xinjiang

3032

333

11%

100%

16

Mei, 2010 [38]

2007–2008

Cross-sectional

Population-based

Henan

390

50

12.82%

94.36%

17

Nie, 2018 [56]

2004–2015

Case–control

Population-based

Chongqing

19,512

1109

5.68%

95.66%

18

Pan, 2010 [39]

2006–2008

Cross-sectional

Hospital-based

Guizhou

2709

168

6.20%

-

19

Pan, 2022 [53]

2015–2020

Cross-sectional

Population-based

Chongqing

850

46

5.41%

92.79%

20

Qian, 2009 [40]

2007

Cross-sectional

Hospital-based

Shanxi

195

9

4.69%

83%

21

Qu, 2014 [41]

2007.10-2011.12

Cross-sectional

Hospital-based

Guangxi

859

71

8.27%

88.65%

22

Rong, 2014 [42]

2007.1-2011.9

Cross-sectional

Hospital-based

Anhui

1183

27

2.28%

100%

23

Wang, 2010 [43]

2006.9.30-2009.10.1

Cross-sectional

Population-based

Shandong

200

6

3.00%

97.56%

24

Xu, 2009 [44]

2006.10.1-2008.9.30

Cross-sectional

Population-based

Guangxi

10,016

1010

10.08%

64.47%

25

Xu, 2016 [45]

2002.12.16-2012.6.30

Cross-sectional

Population-based

Hunan

205

19

9.27%

97.62%

26

Yin, 2012 [46]

2006.10.1-2010.12.31

Cross-sectional

Hospital-based

Hubei

1409

21

1.49%

92.64%

27

Yin, 2013 [47]

2011.1-2012.6

Cross-sectional

Population-based

Guangdong

208

14

6.70%

14.4%

28

Yuan, 2015 [48]

2010–2013

Cross-sectional

Hospital-based

Guizhou

6071

697

11.48%

86.74%

29

Zhang, 2007 [49]

2006.6-2006.7

Cross-sectional

Population-based

Shanxi

390

36

9.23%

82.63%

30

Zhang, 2015 [50]

2011–2013

Cross-sectional

Population-based

Zhejiang

3534

45

1.27%

95.67%