Copyright
©The Author(s) 2020.
World J Meta-Anal. Feb 28, 2020; 8(1): 15-26
Published online Feb 28, 2020. doi: 10.13105/wjma.v8.i1.15
Published online Feb 28, 2020. doi: 10.13105/wjma.v8.i1.15
Ref. | Study period | Study design | State | Sampling method | Age group | Sample size |
Joshi et al[25] | 2001 | Cross-sectional | Haryana | Cluster sampling | ≥ 60 | 200 |
Hazarika et al[9] | 2002 | Cross-sectional | Assam | Simple random sampling | ≥ 60 | 888 |
Lena et al[31] | 2003 | Cross-sectional | Karnataka | ≥ 60 | 213 | |
Prakash et al[2] | 2003 | Cross-sectional | Rajasthan | ≥ 60 | 300 | |
Kishore et al[29] | 2004 | Cross-sectional | Uttarakhand | ≥ 60 | 285 | |
Khanam et al[28] | 2004 | Cross-sectional | Bangladesh | Simple random sampling | ≥ 60 | 452 |
Bhatia et al[17] | 2006 | Cross-sectional | Haryana | Stratified random sampling | ≥ 65 | 361 |
Chandrashekhar et al[1] | 2008 | Cross-sectional | Karnataka | Systematic random sampling | ≥ 60 | 370 |
Bharati et al[16] | 2008 | Cross-sectional | Tamil Nadu | Simple random sampling | ≥ 60 | 225 |
Bhatt et al[18] | 2008 | Cross-sectional | Gujarat | Simple random sampling | ≥ 60 | 218 |
Jacob et al[23] | 2010 | Cross-sectional | Kerala | Cluster sampling | ≥ 60 | 403 |
Sharma et al[36] | 2010 | Cross-sectional | Himachal Pradesh | Multistage simple random sampling | ≥ 60 | 400 |
Ghosh et al[20] | 2011 | Cross-sectional | Bihar | ≥ 60 | 431 | |
Kamble et al[26] | 2011 | Cross-sectional | Maharashtra | Systematic random sampling | ≥ 60 | 494 |
Qadri et al[33] | 2011 | Cross-sectional | Haryana | Simple random sampling | ≥ 60 | 660 |
Banjare et al[14] | 2012 | Cross-sectional | Odisha | PPS, Systematic sampling | ≥ 60 | 310 |
Dutta et al[19] | 2012 | Cross-sectional | Assam | Multistage sampling | ≥ 60 | 370 |
Banjare et al[13] | 2012 | Cross-sectional | Odisha | Multistage simple random sampling | ≥ 60 | 310 |
Barman et al[3] | 2013 | Cross-sectional | Bihar | ≥ 60 | 160 | |
Shubha et al[11] | 2013 | Cross-sectional | Karnataka | Simple random sampling | ≥ 60 | 180 |
Karanth et al[27] | 2013 | Cross-sectional | Karnataka | ≥ 60 | 500 | |
Alam et al[12] | 2014 | Cross-sectional | Chhattisgarh | Multistage simple random sampling | ≥ 60 | 640 |
Bardhan et al[10] | 2014 | Cross-sectional | Uttar Pradesh | Simple random sampling | ≥ 60 | 980 |
Bartwal et al[15] | 2014 | Cross-sectional | Uttarakhand | Systematic sampling | ≥ 60 | 440 |
Gupta et al[21] | 2014 | Cross-sectional | Punjab | ≥ 60 | 534 | |
Kumar et al[30] | 2014 | Cross-sectional | Uttar Pradesh | Stratified random sampling | ≥ 60 | 402 |
Naushad et al[8] | 2014 | Cross-sectional | Chhattisgarh | Multistage simple random sampling | ≥ 60 | 640 |
Jain et al[24] | 2014 | Cross-sectional | Maharashtra | PPS | ≥ 60 | 600 |
Noor et al[32] | 2014 | Cross-sectional | Odisha | Simple random sampling | ≥ 60 | 224 |
Venkateshkrishna et al[37] | 2015 | Cross-sectional | Karnataka | ≥ 60 | 1452 | |
Sahu et al[35] | 2017 | Cross-sectional | Uttar Pradesh | ≥ 60 | 231 | |
Reddy et al[34] | 2017 | Cross-sectional | Telangana | Systematic random sampling | ≥ 60 | 1265 |
Gupta et al[22] | 2018 | Cross-sectional | Haryana | Simple random sampling | ≥ 60 | 300 |
- Citation: Nanda H, Shivgotra VK. Gender prevalence of cardiovascular diseases in the geriatric population of India: A meta-analysis using R. World J Meta-Anal 2020; 8(1): 15-26
- URL: https://www.wjgnet.com/2308-3840/full/v8/i1/15.htm
- DOI: https://dx.doi.org/10.13105/wjma.v8.i1.15