Table 1 Characteristics of Included Studies in the meta-analysis
From: Changes in corneal biomechanics in patients with glaucoma: a systematic review and meta-analysis
Author, Year | Study | Country | Ethnicity | Gender | Age(controls/patients) | Normal sample size(eye) | Experimental sample size(eye) | The type of glaucoma | Whether patients were treated for glaucoma | Machine | IOPGAT(mmHg) |
|---|---|---|---|---|---|---|---|---|---|---|---|
Morales, 2021 [8] | Observational, cross-sectional, study | Spain | - | M/F | (21.45 ± 9.94)/(18.60 ± 11.65) | 40 | 50 | PCG | - | ORA | 18.18 ± 3.94 |
Sullivan, 2008 [9] | Observational, cross-sectional study | The United States | Whites, Hispanics, blacks, native Americans | - | (64.5 ± 12.9)/(71.9 ± 10.0) | 71 | 99 | GLC | - | ORA | - |
Hocaoglu, 2020 [10] | Observational, cross-sectional study | Turkey | - | M/F | (55.43 ± 8.65)/(62.96 ± 8.15) | 133 | 68 | POAG | Yes | ORA | 16.65 ± 5.42 |
Fujishiro, 2020 [11] | Observational, cross-sectional study | Japan | - | M/F | (31.5 ± 5.1)/(62.9 ± 10.3) | 35 | 104 | POAG | - | Corvis ST, ORA | - |
Aoki, 2021 [12] | Retrospective, cross-sectional study | Japan | - | - | (69.4 ± 13.9)/(69.1 ± 13.4) | 68 | 68 | POAG | Yes | Corvis ST, ORA | 12.9 ± 3.2 |
Park, 2018 [13] | Retrospective, cross-sectional study | Korea | - | M/F | (56.35 ± 10.46)/NTG early: (53.92 ± 12.03)/advanced: (62.38 ± 11.96) | 93 | 95 | NTG | No | ORA | NTG early: 15.10 ± 3.18/ advanced: 15.17 ± 2.99 |
Cankaya, 2012 [14] | Observational, cross-sectional study | Turkey | - | M/F | (68.4 ± 5.7)/(70.2 ± 7.3) | 102 | 78 | EXG | - | ORA | 16.3 ± 4.1 |
Yazgan, 2015 [15] | Observational, cross-sectional study | Turkey | - | M/F | (67.83 ± 6.75)/(73.50 ± 5.36) | 45 | 30 | PEXG | - | ORA | 15.7 ± 4.02 |
Detry, 2011 [16] | Observational, cross-sectional study | Belgium | - | M/F | (58.0 ± 14.0)/(70.0 ± 11.0) | 24 | 108 | POAG | - | ORA | 17.0 ± 4.3 |
Perucho, 2016 [17] | Observational, cross-sectional study | Spain | Caucasian | - | (18.07 ± 11.34)/(19.18 ± 11.45) | 103 | 118 | PCG | - | ORA | 18.32 ± 5.13 |
Perucho, 2017 [18] | Observational, cross-sectional study | Spain | - | M/F | (5.20 ± 3.25)/(5.64 ± 2.85) | 66 | 94 | PCG | - | ORA | - |
Gatzioufas, 2013 [19] | Prospective, observational study | German | - | M/F | (14.2 ± 3.6)/(13.6 ± 4.8) | 40 | 40 | PCG | - | ORA |  |
Morita, 2012 [20] | Observational, cross-sectional study | Japan | - | M/F | (57.7 ± 12.1)/(59.1 ± 12.3) | 83 | 83 | NTG | - | ORA | 14.0 ± 2.2 |
Costin, 2014 [21] | Prospective, observational study | Finland | - | - | (56.5 ± 5.7)/(63.6 ± 12.1) | 15 | 13 | POAG | - | ORA | 14.5 ± 3.6 |
Beyazyıldız, 2014 [22] | Observational cross-sectional study | Turkey | - | M/F | Control: (51.2 ± 11.6)/EXG: (68.6 ± 8.5)/POAG: (58.9 ± 10.7) | 50 | 46/66 | EXG/POAG | - | ORA | EXG: (16.5 ± 4.1)/POAG: (16.4 ± 4.2) |
Mangouritsas, 2009 [23] | Prospective, observational study | Greece | - | M/F | (59.2 ± 14.2)/(62.4 ± 9.8) | 74 | 108 | POAG | - | ORA | 16.38 ± 2.73 |
Narayanaswamy, 2011 [24] | Prospective observational study | Singapore | - | M/F | Control: (54.7 ± 8.5)/PACG: (67.1 ± 9.8)/POAG: (64.6 ± 10.5) | 150 | 131/162 | PACG/POAG | - | ORA | (16.4 ± 0.8)/(14.4 ± 0.5) |
Kaushik, 2012 [25] | Prospective observational study | India | - | M/F | Unclear(> 18 years of age) | 71 | 59/36 | PACG/POAG | - | ORA | PACG(16.2 ± 3.9)/POAG: (23.6 ± 12.4) |
Shin, 2015 [26] | Prospective, cross-sectional study | Korea | - | M/F | (49.0 ± 16.07)/(52.24 ± 14.48) | 89 | 97 | NTG | - | ORA | GAT: (14.94 ± 3.27)/ICare: (14.71 ± 3.19) |
Ayala, 2011 [27] | Retrospective, cross-sectional study | Sweden | - | M/F | Control: (67 ± 9)/POAG: (62 ± 13)/PXSG: (71 ± 9) | 30 | 30/30 | POAG/PXSG | - | ORA | POAG: (16.4 ± 4.6)/PXSG: (17.5 ± 5.6) |
Detry, 2012 [28] | Observational cross-sectional study | Belgium | African, Caucasian | M/F | African: (43.9 ± 11.4)/(53.8 ± 12.7) Caucasian: (58.4 ± 14.7)/(70.6 ± 9.2) | 55 | 59 | POAG | - | ORA | African: (18.0 ± 5.0) Caucasian: (16.4 ± 3.7) |
Grise, 2012 [29] | Retrospective, cross-sectional study | France | - | - | Control: (57.5 ± 5.9)/NTG: (56.1 ± 5.1)/POAG: (59.9 ± 4.9) | 44 | 28/75 | NTG/POAG | - | ORA | NTG: (13.0 ± 2.63)/POAG: (18.0 ± 4.42) |
Morales, 2022 [33] | Observational cross-sectional study | Spain | - | M/F | Unclear(> 18 years of age) | 40 | 40 | PCG | - | ORA | - |
Jung, 2020 [31] | Retrospective cross-sectional study | Korea | - | M/F | Control: (56.19 ± 12.45)/POAG: (55.13 ± 15.65)/EXG: (57.77 ± 13.00) | 61 | 46/54 | POAG/NTG | 32/38a | Corvis ST | - |
Miki, 2020 [30] | Retrospective cross-sectional study | Japan | - | - | (56.4 ± 13.2)/(52.7 ± 14.6) | 35 | 35 | NTG | - | Corvis ST | 15.6 ± 2.8 |
Hussnain, 2015 [32] | Retrospective, cross-sectional study | The United States | - | - | (61.59 ± 16.56)/(70.73 ± 11.33) | 1418 | 322 | POAG | - | ORA | - |
Reznicek, 2013 [34] | Prospective observational study | German | - | - | Control: (55.4 ± 15.5)/ OAG: (63.1 ± 13.9) | 36 | 142/106/14/22 | OAG/POAG/NTG/PEXG | - | Corvis ST | OAG: (15.4 ± 6.1)/POAG: (16.5 ± 7.2)/NTG: (11.1 ± 1.5)/PEXG: (13.9 ± 3.5) |