Table 1.
Demographics characteristics of included studies.
| First author (Reference) | Year | Nation | Treatment | No. of patients | Male | Age (Mean) | Etiology |
||
|---|---|---|---|---|---|---|---|---|---|
| Tuberculosis | Tumor | Other | |||||||
| Agmy GM28 | 2013 | Egypt | BAE | 348 | 247 | 45 | 198 | 14 | 136 |
| Chun JY33 | 2010 | UK | BAE | 50 | 24 | 54.9 | 11 | 5 | 34 |
| Baltacioğlu F27 | 2010 | Turkey | BAE | 25 | 19 | 47 | 12 | 4 | 9 |
| Daliri A34 | 2011 | Switzerland | BAE | 28 | 19 | 42 | 2 | 6 | 20 |
| Shin BS22 | 2011 | Korea | BAE | 169 | 129 | 58.58 | 169 | 0 | 0 |
| Dave BR32 | 2011 | USA | BAE | 58 | 28 | 49 | 2 | 16 | 40 |
| Yoo DH20 | 2011 | Korea | BAE | 108 | 66 | 56.2 | 49 | 8 | 51 |
| Bommart S30 | 2012 | France | BAE | 15 | 9 | 62.9 | 0 | 5 | 10 |
| Anuradha C12 | 2012 | India | BAE | 58 | 46 | 43 | 58 | 0 | 0 |
| Shimohira M26 | 2015 | Japan | BAE | 12 | 8 | 64 | 3 | 0 | 9 |
| Lee MK21 | 2015 | Korea | BAE | 852 | 553 | 59.9 | 173 | 64 | 615 |
| Shao H25 | 2015 | China | BAE | 336 | 186 | 57 | 190 | 20 | 126 |
| Mehta AS19 | 2015 | USA | BAE | 26 | 13 | 61.1 | 0 | 26 | 0 |
| Miyano Y17 | 2016 | Japan | BAE | 27 | 23 | 61.7 | 2 | 3 | 22 |
| Pathak V18 | 2016 | USA | BAE | 50 | 30 | 43 | 0 | 4 | 46 |
| Lee H29 | 2017 | Korea | BAE | 26 | 20 | 45 | 0 | 0 | 26 |
| Ayx I13 | 2017 | Germany | BAE | 34 | 25 | 58 | 2 | 19 | 13 |
| Springer DM23 | 2018 | Poland | BAE | 30 | NA | 33 | 0 | 0 | 30 |
| Kucukay F31 | 2018 | Turkey | BAE | 174 | 84 | 39.4 | 18 | 52 | 11 |
| Lee SH15 | 2019 | Korea | BAE | 33 | 15 | 60.0 | 16 | 0 | 17 |
| Shimohira M24 | 2019 | Japan | BAE | 52 | 32 | 70 | 7 | 7 | 38 |