Copyright
©The Author(s) 2024.
World J Gastrointest Surg. Feb 27, 2024; 16(2): 571-584
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.571
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.571
Disease type | Study type | Comparison | Anti-TNF-α monoclonal antibody type | Ref. |
IBD | RCT | Proactive vs empiric | IFX | Vande Casteele et al[21] |
Observational study | Proactive vs empiric | IFX | Sánchez-Hernández et al[22] | |
Lee et al[25] | ||||
Guidi et al[29] | ||||
Kelly et al[30] | ||||
Bossuyt et al[31] | ||||
IFX + ADA | Ponte et al[23] | |||
ADA | Papamichael et al[28] | |||
Capoulas et al[27] | ||||
Proactive vs reactive | ADA | Papamichael et al[26] | ||
IFX | Papamichael et al[28] | |||
UC only | Observational study | Proactive vs empiric | IFX | Fernandes et al[24] |
RCT | Proactive vs empiric | ADA | Panés et al[33] | |
CD only | Observational study | Proactive vs empiric | IFX | Fernandes et al[24] |
RCT | Proactive vs reactive | ADA | D'Haens et al[32] | |
RCT | Proactive vs empiric | ADA | Panés et al[33] | |
Baseline indicator | OR1/SMD2 (95%CI) | P, I2 | Balanced or not | |
Male sex, n (%) | 1.106 (0.936, 1.307)1 | 0.283, 16.9 | Yes | |
CD, n (%) | 1.114 (0.872, 1.422)1 | 0.299, 16.6 | Yes | |
Age, yr, median (%) | -0.042 (-0.432, 0.348)2 | 0.000, 96.23 | Yes | |
Baseline remission, n (%) | 1.263 (0.780, 2.046)1 | 0.406, 0.0 | Yes | |
Active smoker, n (%) | 0.974 (0.633, 1.499)1 | 0.141, 45.1 | Yes | |
Duration of disease, y, median (%) | -0.034 (-0.216, 0.148)2 | 0.003, 72.33 | Yes | |
Prior surgery, n (%) | 1.075 (0.690, 1.675)1 | 0.923, 0.0 | Yes | |
CRP concentration (mg/L) (%) | 0.463 (-0.171, 1.097)1 | 0.000, 98.23 | Yes |
Outcome type | Subgroup type | Study (n) | OR (95%CI) | P, I2 (heterogeneity) | P value from meta-regression | Publication bias (Begg’s, Egger’s) | Grade | |
Efficacy outcome | Clinical remission | Total (%) | 10 | 1.281 (0.972, 1.688) | 0.002, 65.92 | 0.194, 0.0004 | Moderate | |
Disease type | ||||||||
IBD (%) | 5 | 0.887 (0.671, 1.174) | 0.390, 2.8 | 0.0283 | 0.050, 0.0904 | Moderate | ||
UC (%) | 3 | 1.563 (1.063, 2.298)1 | 0.058, 64.82 | 0.602, 0.112 | Low | |||
CD (%) | 2 | 2.412 (0.889, 6.544) | 0.032, 78.12 | 0.317, - | Low | |||
Study type | ||||||||
RCT | 4 | 1.393 (1.182, 1.641)1 | 0.771, 0.0 | 0.861 | 0.497, 0.467 | High | ||
Observational (%) | 6 | 1.305 (0.691, 2.464) | 0.000, 78.82 | 0.851, 0.376 | Moderate | |||
Comparison | ||||||||
Proactive vs empiric (%) | 8 | 1.330 (0.959, 1.843) | 0.003, 68.22 | 0.746 | 0.805, 0.755 | Moderate | ||
Proactive vs reactive (%) | 2 | 1.074 (0.461, 2.501) | 0.036, 77.22 | 0.317, - | Low | |||
Monoclonal type | ||||||||
IFX (%) | 6 | 1.368 (0.724, 2.585) | 0.000, 77.72 | 0.954 | 0.851, 0.390 | Moderate | ||
ADA (%) | 3 | 1.416 (1.196, 1.676)1 | 0.793, 0.0 | 0.602, 0.404 | Low | |||
Need of surgery (all observational) | Total (%) | 9 | 0.525 (0.243, 1.130) | 0.001, 71.32 | ||||
Disease type | ||||||||
IBD (%) | 7 | 0.354 (0.155, 0.804)1 | 0.007, 66.02 | 0.140 | 0.548, 0.556 | Moderate | ||
Comparison | ||||||||
Proactive vs empiric (%) | 7 | 0.694 (0.282, 1.707) | 0.002, 72.12 | 0.353 | 0.293,0.993 | Moderate | ||
Proactive vs reactive (%) | 2 | 0.237 (0.101, 0.558)1 | 0.302, 6.2 | 0.317, - | Low | |||
Monoclonal type | ||||||||
IFX (%) | 6 | 0.571 (0.233, 1.402) | 0.001, 75.32 | 0.672 | 0.851, 0.841 | Moderate | ||
IFX + ADA (%) | 2 | 0.137 (0.032, 0.588)1 | 0.563, 0.0 | 0.317, - | Low | |||
Treatment discontinuation (all observational) | Total (%) | 7 | 0.395 (0.130, 1.205) | 0.000, 85.72 | 0.812, 0.677 | Moderate | ||
Disease type | ||||||||
IBD | 5 | 0.377 (0.078, 1.831) | 0.000, 90.02 | 0.793 | 0.806, 0.998 | Moderate | ||
Comparison | ||||||||
Proactive vs empiric (%) | 5 | 0.494 (0.196, 1.248) | 0.046, 58.82 | 0.412 | 0.462,0.045 | Moderate | ||
Proactive vs reactive (%) | 2 | 0.394 (0.018, 8.742) | 0.000, 94.92 | 0.317, - | Low | |||
Monoclonal type | ||||||||
IFX (%) | 5 | 0.494 (0.142, 1.715) | 0.000, 90.02 | 0.938 | 0.624, 0.705 | Moderate | ||
ADA (%) | 2 | 0.125 (0.015, 1.027) | 0.808, 0.0 | 0.317, - | Low | |||
Endoscopic remission | Total (%) | 4 | 1.435 (1.089, 1.890)1 | 0.169, 40.4 | 0.089, 0.093 | Moderate | ||
Clinical relapse | Total (%) | 2 | 0.513 (0.294, 0.895)1 | 0.294, 9.2 | 1.000, - | Low | ||
Anti-drug antibodies | Total (%) | 2 | 0.234 (0.116, 0.474) | 0.703, 0.0 | 0.317, - | Low | ||
Safety | Adverse events | Total (%) | 10 | 0.579 (0.391, 0.858)1 | 0.001, 67.22 | 0.586, 0.377 | Moderate | |
Disease type | ||||||||
IBD (%) | 6 | 0.301 (0.157, 0.576)1 | 0.649, 0.0 | 0.0403 | 0.348, 0.427 | High | ||
UC (%) | 2 | 0.987 (0.817, 1.193) | 0.732, 0.0 | 0.317, - | Low | |||
CD (%) | 2 | 0.427 (0.107, 1.711) | 0.002, 89.42 | 0.317, - | Very low | |||
Study type | ||||||||
RCT (%) | 4 | 0.951 (0.804, 1.124) | 0.839, 0.0 | 0.0113 | 0.174, 0.753 | High | ||
Observational (%) | 6 | 0.246 (0.146, 0.413)1 | 0.698, 0.0 | 0.348, 0.477 | High | |||
Comparison | ||||||||
Proactive vs empiric (%) | 7 | 0.577 (0.346, 0.964)1 | 0.002, 72.0 | 0.872 | 0.453, 0.113 | High | ||
Proactive vs reactive (%) | 3 | 0.464 (0.175, 1.235) | 0.084, 59.7 | 0.602, 0.253 | Moderate | |||
Monoclonal type | ||||||||
IFX (%) | 5 | 0.264 (0.153, 0.455) | 0.428, 0.0 | 0.0213 | 0.142, 0.108 | High | ||
ADA (%) | 5 | 0.923 (0.760, 1.120) | 0.323, 14.3 | 0.050, 0.0084 | High | |||
Acute infusion reactions | Total (%) | 4 | 0.572 (0.235, 1.390) | 0.163, 41.4 | 0.308, 0.168 | Moderate | ||
Delayed hypersensitivity | Total (%) | 2 | 0.719 (0.017, 29.584) | 0.079, 67.7 | 1.000, - | Moderate |
- Citation: Zheng FY, Yang KS, Min WC, Li XZ, Xing Y, Wang S, Zhang YS, Zhao QC. Is tumor necrosis factor-α monoclonal therapy with proactive therapeutic drug monitoring optimized for inflammatory bowel disease? Network meta-analysis. World J Gastrointest Surg 2024; 16(2): 571-584
- URL: https://www.wjgnet.com/1948-9366/full/v16/i2/571.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v16.i2.571