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©The Author(s) 2023.
World J Gastroenterol. Oct 21, 2023; 29(39): 5503-5525
Published online Oct 21, 2023. doi: 10.3748/wjg.v29.i39.5503
Published online Oct 21, 2023. doi: 10.3748/wjg.v29.i39.5503
Table 1 Characteristics of studies included in this study
No. | Ref. | Country | Disease | Study time | Study design | Diagnostic model1 | Sample size | Mean age in yr | Sex, F/M | Mean BMI in kg/m2 | Mean, ALT in IU/mL | Treatment condition | Scoring system | Interval |
1 | Youssef et al[40], 2013 | Egypt | AIH | NA | Retrospective | 5 | 16 | NA | NA | NA | NA | NA | Metavir | NA |
2 | Kim et al[41], 2014 | Korea | AIH | 2008-2014 | Retrospective | 5 | 47 | NA | 41/6 | NA | NA | NA | Metavir | NA |
3 | Abdollahi et al[42], 2015 | Iran | AIH | 2011-2013 | NA | 1, 2, 3 | 80 | 34.75 | 51/29 | NA | 106.49 | NA | Ishak | NA |
4 | Harrison et al[43], 2016 | United Kingdom | AIH | 2013-2015 | Prospective | 5 | 27 | 56 | 25/2 | NA | 21 | Post | Ishak | The same day |
5 | Hartl et al[44], 2016 | Germany | AIH | 2007-2010 | Prospective | 5 | 34 | 53 | 28/6 | NA | 48.5 | Post | Scheuer | Within 3 mo |
Hartl et al[44], 2016 | Germany | AIH | 2008-2015 | Retrospective | 5 | 60 | 52 | 50/10 | NA | 35 | Post | Scheuer | Within 4 mo | |
6 | Nishikawa et al45], 2016 | Japan | AIH | 2005-2015 | Prospective | 1, 2, 3, 11 | 84 | 64 | 69/15 | NA | 57.5 | Pre | Scheuer | NA |
7 | E Anastasiou et al[46], 2016 | Germany | AIH | 2008-2013 | Retrospective | 1, 2, 3, 5 | 53 | 47.3 | 31/22 | NA | 606.42 | Pre 35 + post 18 | Metavir | Within 3 wk |
8 | Piwczyńska et al[47], 2016 | Poland | AIH | NA | Prospective | 4 | 46 | 14.5 | 33/13 | NA | NA | NA | Batts-Ludwig | NA |
9 | Sheptulina et al[48], 2016 | Russian | AIH | 2008-2014 | Prospective | 1, 2, 3, 9 | 76 | 40 | 65/11 | 25 | 54.4 | Pre 22 + post 54 | Metavir | Within 7 d |
10 | Guo et al[29], 2017 | China | AIH | 2012-2017 | Retrospective | 1, 3, 5 | 108 | 46.54 | 88/20 | 23.52 | 146.51 | NA | Metavir | Within 3 d |
11 | Paranagua-Vezozzo et al[49], 2016 | Brazil | AIH | 2012-2015 | Prospective | 4, 5 | 33 | NA | 28/5 | 28.6 | NA | Post | Metavir | The same day |
12 | Puustinen et al[50], 2017 | Finland | AIH | NA | Prospective | 8 | 12 | 42.8 | 10/2 | NA | 28.5 | NA | Metavir | Within 1 mo |
13 | Wang et al[22], 2017 | China | AIH | 2007-2015 | Retrospective | 1, 2, 3, 7 | 36 | 51.6 | NA | 27.7 | 217.4 | Pre 17 + post 19 | Metavir | Within 3 mo |
14 | Xu et al[51], 2017 | China | AIH | 2014-2016 | Prospective | 1, 3, 5 | 100 | 45 | 81/19 | NA | 131.5 | Pre | Metavir | The same day |
15 | Zeng et al[52], 2017 | China | AIH | 2011-2016 | Prospective | 6 | 62 | 45.6 | NA | 21.6 | 78.5 | Pre | Metavir | 3 d |
16 | Liu et al[53], 2019 | China | AIH | 2008-2018 | Retrospective | 2, 3 | 45 | 54.29 | 37/8 | NA | NA | NA | Metavir | The same day |
17 | Park et al[19], 2019 | South Korea | AIH | 2014-2017 | NA | 4 | 49 | 56 | 42/7 | 23.7 | 163 | NA | Metavir | The same day |
PBC | 41 | 55.3 | 35/6 | 25.5 | 45 | NA | ||||||||
18 | Li et al[54], 2020 | China | AIH | 2010-2019 | Retrospective | 1, 2, 3, 10 | 72 | 54 | 64/8 | NA | 137.55 | Post | Metavir | NA |
19 | Wang et al[55], 2020 | China | AIH | 2016-2019 | Retrospective | 1, 3, 10 | 119 | 52.5 | 99/20 | NA | 81.6 | Pre | Scheuer | Within 7 d |
20 | Xing et al[30], 2020 | China | AIH | 2016-2019 | Retrospective | 1, 3, 6 | 103 | 54 | 81/22 | 22.5 | 163 | NA | Scheuer | Within 7 d |
21 | Janik et al[31], 2021 | Poland | AIH | 2015-2020 | Prospective | 6 | 63 | 37 | 15/48 | 23.9 | 130 | Post | Batts-Ludwig | Within 3 mo |
22 | Zachou et al[20], 2021 | Greece | AIH | 2009-2016 | Retrospective | 5 | 78 | 57 | 54/24 | NA | 68 | Pre 47 + post 31 | Metavir | The same day |
PBC | 56 | 52 | 48/8 | NA | 47 | Pre 37 + post 19 | ||||||||
23 | Ferronato et al[56], 2022 | Italy | AIH | NA | Retrospective | 1, 2, 3 | 122 | 59 | 90/32 | NA | 481.8 | Pre | Ishak | Within 23 d |
24 | Soh et al[57], 2022 | Korea | AIH | 2014-2021 | Retrospective | 6 | 69 | 59.7 | 60/9 | NA | 187.1 | Pre 44 + post 25 | Metavir | The same day |
25 | Nyblom et al[58], 2006 | Sweden | PBC | 1976-2000 | Retrospective | 2 | 121 | 54 | NA | NA | 189.9 | NA | Metavir | NA |
26 | Gómez-Dominguez et al[59], 2008 | Spain | PBC | NA | Prospective | 5 | 80 | 54 | 64/16 | NA | NA | Post | Metavir | Within 9 mo |
27 | Alempijevic et al[60], 2009 | Serbia | PBC | 2006 | NA | 1, 2 | 112 | 53.88 | 104/8 | NA | NA | Post | Scheuer | Within 1 wk |
28 | Ferrara et al[61], 2009 | Italy | PBC | NA | NA | 1, 3 | 248 | 52 | 233/15 | NA | NA | NA | Scheuer | The same day |
29 | Su et al[62], 2009 | China | PBC | 1985-2006 | Retrospective | 2 | 46 | 53.3 | 34/12 | NA | 140.6 | NA | Scheuer | Within 1 mo |
30 | Floreani et al[63], 2011 | Italy | PBC | 2009 | NA | 5 | 114 | 58 | 96/24 | 24 | 44 | NA | Metavir | Within 6 mo |
31 | Corpechot et al[64], 2012 | France | PBC | 2004-2010 | Prospective | 5 | 103 | 56 | 87/16 | 23.9 | 76 | Post | Metavir | Within 9 mo |
32 | Zhang et al[34], 2014 | China | PBC | 2011-2013 | NA | 4 | 56 | 45 | 46/10 | NA | NA | NA | Batts-Ludwig | Within 3 d |
33 | Sheptulina et al[21], 2015 | Russian | PBC | 2008-2014 | Retrospective | 9 | 82 | 54.5 | 78/4 | NA | NA | NA | Metavir | NA |
PSC | 3 | 22 | 38 | 6/16 | NA | NA | NA | NA | ||||||
34 | Umemura et al[65], 2015 | Japan | PBC | 1981-2014 | Retrospective | 11 | 137 | 57 | 111/26 | NA | 41 | Post | Metavir | The same day |
35 | Nishikawa et al[66], 2016 | Japan | PBC | 2005-2014 | Prospective | 1, 3, 11 | 57 | 59 | 49/8 | NA | 35 | Pre | Scheuer | NA |
36 | Olmez et al[67], 2016 | Turkey | PBC | 1995-2013 | Retrospective | 1, 3 | 40 | 49.6 | 40/0 | NA | 54.5 | NA | Scheuer | Within 1 wk |
37 | Wang et al[68], 2016 | China | PBC | 2010-2015 | Retrospective | 1, 3, 10 | 73 | 52.4 | 62/11 | NA | 89.3 | Pre | Ludwing and Scheuer | The day before |
38 | Koizumi et al[23], 2017 | Japan | PBC | 2012-2015 | Prospective | 1, 2, 3, 5 | 44 | 60.5 | 41/3 | NA | 65.9 | Post | Metavir | Within 1 wk |
39 | Wang et al[69], 2017 | China | PBC | 2009-2016 | Retrospective | 1, 3 | 261 | 52 | 230/31 | NA | NA | NA | Metavir | NA |
40 | Jiang et al[70], 2018 | China | PBC | 2009-2015 | Retrospective | 3, 10 | 77 | 62.4 | 64/13 | NA | 81.2 | Pre | Scheuer | NA |
41 | Kamal et al[71], 2018 | Netherlands | PBC | 1979-2010 | Retrospective | 1, 2, 3 | 85 | 50 | 75/10 | NA | NA | NA | Ishak | NA |
42 | Meng et al[72], 2018 | China | PBC | 2013-2017 | Retrospective | 1, 3, 10 | 94 | 51.02 | NA | NA | 116.58 | Pre | Ludwing and Scheuer | Within 1 wk |
43 | Milovanović et al[73], 2018 | Serbia | PBC | 2009-2011 | Prospective | 1, 2, 5 | 122 | 57.4 | NA | NA | 50.8 | Post | Metavir | Within 1 mo |
44 | Wang et al[74], 2018 | China | PBC | 2010-2016 | Retrospective | 1, 3, 10 | 58 | 53.3 | 51/7 | NA | 90.4 | Pre | Ludwing and Scheuer | Within 1 wk |
45 | Jiang et al[75], 2020 | China | PBC | 2008-2018 | Prospective | 1, 2, 3, 10 | 78 | 52 | 71/7 | NA | NA | Pre 39 + post 39 | Scheuer | Within 2 wk |
Jiang et al[75], 2020 | China b | PBC | 2008-2018 | Retrospective | 1, 3, 10 | 40 | 51 | 35/5 | NA | NA | Pre 20 + post 20 | Scheuer | Within 2 wk | |
46 | Joshita et al[76], 2020 | Japan | PBC | 2015-2019 | NA | 5, 11 | 74 | 64 | 62/12 | NA | 48 | Pre | Scheuer | The same day |
47 | Rossi et al[77], 2020 | Italy | PBC | NA | NA | 5 | 92 | NA | NA | NA | NA | NA | Scheuer | Within 1 mo |
48 | Yan et al[32], 2020 | China | PBC | 2016-2019 | Retrospective | 1, 2, 3, 6 | 157 | 53 | 136/21 | 22.2 | 72 | NA | Scheuer | NA |
49 | Cristoferi et al[78], 2021 | Italy | PBC | 2006-2019 | Prospective | 1, 5 | 126 | 52 | 114/12 | 22.3 | 52.8 | Pre | Batts-Ludwig | Within 12 wk |
50 | Fujinaga et al[79], 2021 | Japan | PBC | 2000-2019 | Retrospective | 1, 3, 11 | 102 | 61 | 89/13 | NA | 68.4 | Pre | Scheuer | NA |
51 | Manesis et al[80], 2021 | Greece | PBC | 2010-2018 | Retrospective | 6 | 53 | 62.6 | 46/7 | 25.7 | 30 | Pre 30 + post 23 | Scheuer | Within 3 mo |
52 | Osman et al[33], 2021 | United States | PBC | 2007-2019 | Retrospective | 5 | 63 | 60.95 | NA | NA | 31.2 | NA | Batts-Ludwig | Within 1 yr |
7 | 98 | 60.21 | NA | NA | 36.4 | NA | ||||||||
53 | Avcioğlu et al[81], 2022 | Turkey | PBC | 2008-2020 | Retrospective | 1, 3 | 35 | 49.6 | 33/2 | NA | 50.6 | Pre | Scheuer | Within 1 wk |
54 | Garrido et al[82], 2022 | Portugal | PBC | 2010-2021 | NA | 5 | 79 | 52 | NA | NA | NA | Pre 40 + post 39 | Batts-Ludwig | Within 2 mo |
55 | Corpechot et al[83], 2014 | France | PSC | 2005-20210 | Prospective | 5 | 59 | 40.7 | 24/35 | NA | 145.7 | Post | Metavir | Within 6 mo |
56 | Bowlus et al[84], 2016, | France | PSC | NA | NA | 5 | 56 | 43 | 22/34 | NA | 255 | NA | Ishak | NA |
57 | Eaton et al[85], 2016 | United States | PSC | 2007-2013 | Retrospective | 1, 7 | 266 | 46.12 | 81/185 | 26 | 48 | Pre | Batts-Ludwig | Within 1 yr |
58 | Ehlken et al[86], 2016 | Germany | PSC | 2006-2014 | Retrospective | 5 | 62 | 38 | 63/77 | NA | 38 | NA | Scheuer | NA |
59 | Krawczyk et al[87], 2017 | Poland | PSC | 2014-2016 | Prospective | 5 | 30 | 33 | 12/18 | NA | 50 | NA | Metavir | NA |
60 | Umetsu et al[88], 2018 | Japan | PSC | 2007-2016 | Retrospective | 1, 2, 3, 11 | 28 | 14 | 8/20 | NA | 56.5 | NA | Batts-Ludwig | The same day |
Table 2 Summary sensitivities, specificities, positive likelihood ratio and negative likelihood ratio of noninvasive methods at various diagnostic thresholds for prediction of significant fibrosis, advanced fibrosis and cirrhosis in autoimmune liver diseases patients
Disease | Diagnostic model/Stage | Cutoff values | No. of patients (n) | Summary sensitivity | Summary specificity | Summary PLR | Summary NLR |
AIH | APRI | ||||||
SF | 0.27-0.70 | 2 (195) | 0.80 (0.72-0.86) | 0.35 (0.23-0.48) | 1.46 (0.55-3.89) | 0.36 (0.061-2.09) | |
0.88-1.55 | 3 (264) | 0.74 (0.68-0.80) | 0.51 (0.38-0.63) | 1.52 (1.18-1.96) | 0.50 (0.36-0.69) | ||
AF | 0.38-0.90 | 4 (379) | 0.86 (0.81-0.90) | 0.48 (0.41-0.56) | 1.60 (1.18-2.15) | 0.33 (0.24-0.47) | |
1.12-3.40 | 6 (538) | 0.80 (0.72-0.86) | 0.35 (0.23-0.48) | 0.57 (0.51-0.64) | 0.68 (0.62-0.73) | ||
Cirrhosis | 0.55-1.81 | 3 (330) | 0.65 (0.56-0.74) | 0.47 (0.40-0.54) | 1.49 (0.93-2.39) | 0.62 (0.46-0.83) | |
1.85-2.00 | 3 (213) | 0.70 (0.57-0.81) | 0.73 (0.65-0.79) | 2.48 (1.75-3.52) | 0.42 (0.28-0.62) | ||
AAR | |||||||
SF | 0.72-0.93 | 2 (129) | 0.67 (0.57-0.77) | 0.68 (0.49-0.83) | 2.22 (1.32-3.72) | 0.46 (0.23-0.90) | |
AF | 0.76-1.18 | 7 (532) | 0.61 (0.54-0.68) | 0.72 (0.66-0.77) | 2.01 (1.59-2.53) | 0.58 (0.46-0.73) | |
Cirrhosis | 0.94-1.40 | 3 (213) | 0.61 (0.47-0.74) | 0.83 (0.76-0.88) | 3.31 (1.96-5.59) | 0.49 (0.36-0.69) | |
FIB-4 | |||||||
SF | 1.95-2.90 | 3 (303) | 0.64 (0.58-0.71) | 0.71 (0.61-0.81) | 2.20 (1.48-3.27) | 0.50 (0.38-0.65) | |
3.20-5.07 | 2 (156) | 0.60 (0.51-0.69) | 0.77 (0.60-0.90) | 2.66 (1.44-4.92) | 0.52 (0.39-0.69) | ||
AF | 1.75-2.37 | 6 (476) | 0.66 (0.59-0.72) | 0.63 (0.57-0.69) | 2.05 (1.56-2.70) | 0.40 (0.20-0.81) | |
3.21-5.60 | 5 (486) | 0.47 (0.41-0.54) | 0.73 (0.67-0.79) | 1.83 (1.24-2.71) | 0.68 (0.50-0.92) | ||
Cirrhosis | 2.21-3.40 | 5 (440) | 0.75 (0.67-0.82) | 0.56 (0.50-0.62) | 2.06 (1.53-2.77) | 0.37 (0.19-0.71) | |
6.44 | 1 (103) | 0.68 | 0.64 | 1.88 | 0.51 | ||
TE | |||||||
SF | 5.80-7.00 | 7 (423) | 0.83 (0.78-0.87) | 0.73 (0.65-0.80) | 2.89 (2.23-3.76) | 0.23 (0.12-0.42) | |
9.10-10.05 | 2 (100) | 0.77 (0.67-0.86) | 0.94 (0.70-1.00) | 7.65 (1.66-35.32) | 0.18 (0.02-1.47) | ||
AF | 8.18-9.00 | 3 (286) | 0.80 (0.72-0.87) | 0.80 (0.73-0.86) | 4.09 (2.64-6.33) | 0.24 (0.17-0.35) | |
10.40-12.10 | 4 (174) | 0.73 (0.60-0.83) | 0.93 (0.86-0.97) | 7.67 (2.89-20.31) | 0.27 (0.12-0.61) | ||
Cirrhosis | 11.00-12.67 | 4 (213) | 0.89 (0.82-0.94) | 0.88 (0.81-0.93) | 6.89 (4.38-10.85) | 0.14 (0.09-0.23) | |
16.00-19.00 | 3 (147) | 0.88 (0.74-0.96) | 0.97 (0.92-0.99) | 22.08 (5.35-91.22) | 0.16 (0.08-0.33) | ||
2D-SWE | |||||||
SF | 8.20-10.00 | 3 (234) | 0.89 (0.83-0.93) | 0.72 (0.59-0.83) | 3.25 (1.67-6.32) | 0.17 (0.11-0.28) | |
AF | 12.20-15.80 | 3 (234) | 0.82 (0.73-0.89) | 0.79 (0.72-0.86) | 3.92 (2.79-5.52) | 0.24 (0.13-0.44) | |
Cirrhosis | 14.30-19.30 | 4 (297) | 0.83 (0.74-0.90) | 0.86 (0.81-0.91) | 5.85 (4.09-8.37) | 0.21 (0.13-0.34) | |
PBC | APRI | ||||||
SF | 0.26-1.20 | 4 (584) | 0.84 (0.80-0.87) | 0.63 (0.56-0.70) | 1.98 (1.54-2.55) | 0.34 (0.23-0.51) | |
AF | 0.3.0-0.75 | 8 (858) | 0.62 (0.57-0.68) | 0.54 (0.50-0.58) | 1.39 (1.09-1.79) | 0.68 (0.48-0.98) | |
0.93-2.00 | 7 (731) | 0.73 (0.68-0.78) | 0.68 (0.64-0.72) | 2.68 (1.80-3.97) | 0.46 (0.36-0.58) | ||
Cirrhosis | 0.65-1.39 | 6 (852) | 0.75 (0.67-0.83) | 0.51 (0.48-0.55) | 2.19 (1.38-3.50) | 0.31 (0.10-0.99) | |
AAR | |||||||
SF | 0.92-1.00 | 3 (323) | 0.69 (0.61-0.76) | 0.56 (0.48-0.63) | 1.61 (1.33-1.95) | 0.52 (0.31-0.87) | |
AF | 0.81-1.01 | 5 (559) | 0.54 (0.47-0.62) | 0.73 (0.68-0.77) | 2.15 (1.52-3.03) | 0.63 (0.44-0.91) | |
Cirrhosis | 1.00-1.10 | 4 (407) | 0.81 (0.70-0.90) | 0.77 (0.72-0.82) | 4.55 (1.98-10.49) | 0.28 (0.10-0.79) | |
FIB-4 | |||||||
SF | 1.39-3.90 | 3 (462) | 0.85 (0.81-0.89) | 0.77 (0.69-0.83) | 2.89 (2.10-3.98) | 0.26 (0.10-0.66) | |
AF | 2.05-2.63 | 7 (865) | 0.77 (0.72-0.81) | 0.57 (0.53-0.61) | 1.95 (1.51-2.52) | 0.31 (0.16-0.61) | |
2.81-4.60 | 6 (431) | 0.63 (0.55-0.71) | 0.80 (0.75-0.85) | 3.25 (1.78-5.94) | 0.49 (0.30-0.81) | ||
Cirrhosis | 2.05-4.60 | 6 (852) | 0.87 (0.80-0.93) | 0.61 (0.58-0.65) | 2.79 (1.92-4.07) | 0.16 (0.05-0.52) | |
TE | |||||||
SF | 5.90-8.80 | 4 (402) | 0.81 (0.76-0.85) | 0.95 (0.89-0.98) | 10.51 (2.03-54.36) | 0.23 (0.12-0.44) | |
16.00 | 1 (44) | 0.94 | 0.81 | 4.90 | 0.07 | ||
AF | 6.75-7.60 | 4 (377) | 0.80 (0.73-0.86) | 0.81 (0.76-0.86) | 4.19 (2.35-7.46) | 0.19 (0.05-0.79) | |
9.60-10.70 | 3 (317) | 0.91 (0.84-0.95) | 0.82 (0.77-0.87) | 5.68 (2.55-12.69) | 0.12 (0.07-0.21) | ||
11.90-17.90 | 3 (180) | 0.75 (0.60-0.86) | 0.94 (0.88-0.97) | 11.76 (2.29-60.48) | 0.22 (0.06-0.80) | ||
Cirrhosis | 11.40-14.40 | 3 (256) | 0.84 (0.69-0.93) | 0.94 (0.90-0.97) | 13.46 (7.66-23.65) | 0.19 (0.10-0.38) | |
15.60-25.10 | 3 (227) | 0.90 (0.74-0.98) | 0.93 (0.89-0.96) | 22.8 (0.81-639.69) | 0.12 (0.04-0.34) | ||
RPR | |||||||
AF | 0.10-0.14 | 4 (362) | 0.49 (0.40-0.58) | 0.89 (0.84-0.92) | 4.27 (2.22-8.22) | 0.59 (0.47-0.74) | |
M2BP | |||||||
AF | 1.00-1.40 | 4 (370) | 0.68 (0.59-0.77) | 0.80 (0.75-0.85) | 4.26 (1.82-9.96) | 0.32 (0.14-0.75) | |
PSC | TE | ||||||
SF | 8.80 | 2 (121) | 0.76 (0.62-0.87) | 0.88 (0.79-0.95) | 6.34 (3.25-12.37) | 0.29 (0.18-0.46) | |
AF | 9.60 | 3 (177) | 0.82 (0.70-0.91) | 0.83 (0.75-0.89) | 4.75 (2.21-10.19) | 0.15 (0.02-1.04) | |
Cirrhosis | 13.70-14.40 | 4 (207) | 0.82 (0.68-0.91) | 0.89 (0.83-0.94) | 7.46 (3.74-14.88) | 0.25 (0.15-0.43) |
Table 3 Summary area under the receiver operator curve and diagnostic odds ratio of noninvasive methods for prediction of significant fibrosis, advanced fibrosis and cirrhosis in autoimmune liver diseases patients
Disease | Diagnostic model/Stage | No. of studies (patients) | AUROC (95%CI) | DOR (95%CI) |
AIH | APRI | |||
SF | 4 (383) | 0.67 (0.63-0.71) | 3.87 (2.1-7.3) | |
AF | 10 (917) | 0.71 (0.67-0.75) | 3.85 (2.8-5.3) | |
Cirrhosis | 6 (543) | 0.71 (0.67-0.75) | 3.77 (2.2-6.4) | |
FIB-4 | ||||
SF | 5 (459) | 0.74 (0.70-0.78) | 5.11 (3.1-8.5) | |
AF | 11 (962) | 0.73 (0.69-0.76) | 4.04 (2.4-6.8) | |
Cirrhosis | 6 (543) | 0.72 (0.68-0.76) | 5.48 (2.4-12.6) | |
TE | ||||
SF | 9 (523) | 0.84 (0.80-0.87) | 16.83 (8.8-32.2) | |
AF | 7 (460) | 0.88 (0.85-0.90) | 25.14 (9.7-65.3) | |
Cirrhosis | 7 (415) | 0.90 (0.87-0.92) | 91.77 (40.1-201.2) | |
AAR | ||||
AF | 6 (410) | 0.73 (0.69-0.77) | 4.94 (3.2-7.8) | |
2D-SWE | ||||
Cirrhosis | 4 (297) | 0.91 (0.89-0.94) | 30.68 (15.7-59.9) | |
PBC | APRI | |||
SF | 4 (584) | 0.77 (0.73-0.80) | 6.27 (3.5-11.2) | |
AF | 15 (1589) | 0.70 (0.66-0.74) | 3.67 (2.3-5.9) | |
Cirrhosis | 6 (852) | 0.83 (0.79-0.86) | 14.55 (1.9-113.8) | |
FIB-4 | ||||
AF | 13 (1296) | 0.79 (0.75-0.82) | 7.13 (4.0-12.8) | |
Cirrhosis | 6 (852) | 0.88 (0.85-0.91) | 29.79 (5.9-150.3) | |
TE | ||||
SF | 5 (446) | 0.93 (0.91-0.95) | 74.45 (12.2-455.5) | |
AF | 10 (880) | 0.93 (0.90-0.95) | 41.84 (19.3-91.0) | |
Cirrhosis | 6 (483) | 0.91 (0.88-0.93) | 134.83 (33.0-551.8) | |
AAR | ||||
AF | 6 (559) | 0.74 (0.70-0.78) | 4.13 (2.0-8.6) | |
Cirrhosis | 4 (407) | 0.88 (0.84-0.90) | 25.29 (9.0-70.9) | |
RPR | ||||
AF | 4 (362) | 0.53 (0.49-0.58) | 7.98 (4.0-15.8) | |
M2BP | ||||
AF | 4 (370) | 0.86 (0.82-0.88) | 13.17 (4.1-42.4) | |
PSC | TE | |||
Cirrhosis | 4 (207) | 0.95 (0.93-0.97) | 70.59 (15.4-322.7) |
Table 4 Heterogeneity of all the included studies
Fibrosis stage | Threshold heterogeneity | Non-threshold heterogeneity | ||||
r | P value | I2 (%) | P value | |||
AIH | TE | SF | 0.176 | 0.651 | 82.9 | 0 |
AF | -0.429 | 0.337 | 93.8 | 0 | ||
Cirrhosis | 0.321 | 0.482 | 56.59 | 0.03 | ||
APRI | SF | 1.0 | 0 | 62.34 | 0.05 | |
AF | 0.717 | 0.02 | 71.94 | 0 | ||
Cirrhosis | 0.714 | 0.111 | 90.93 | 0 | ||
FIB-4 | SF | 0.70 | 0.188 | 46.81 | 0.11 | |
AF | 0.627 | 0.039 | 98.29 | 0 | ||
Cirrhosis | -0.029 | 0.957 | 88.98 | 0 | ||
AAR | AF | 0.857 | 0.014 | 36.46 | 0.16 | |
SWE | Cirrhosis | 0 | 1.0 | 61.97 | 0.05 | |
PBC | TE | SF | -0.10 | 0.873 | 99.99 | 0 |
AF | 0.195 | 0.590 | 100 | 0 | ||
Cirrhosis | -0.726 | 0.027 | 93.77 | 0 | ||
APRI | SF | 1.0 | 0 | 99.9 | 0 | |
AF | 0.209 | 0.454 | 100 | 0 | ||
Cirrhosis | -0.657 | 0.156 | 100 | 0 | ||
FIB-4 | AF | 0.418 | 0.156 | 100 | 0 | |
Cirrhosis | 0.029 | 0.957 | 100 | 0 | ||
AAR | AF | 0.60 | 0.208 | 96.05 | 0 | |
Cirrhosis | 0.40 | 0.60 | 95.37 | 0 | ||
M2BP | AF | 0 | 1.0 | 99.24 | 0 | |
RPR | AF | 0 | 1.0 | 94.49 | 0 | |
PSC | TE | Cirrhosis | 0.80 | 0.20 | 50.07 | 0.11 |
Table 5 Subgroup analysis of sample size and treatment status in prediction of significant fibrosis, advanced fibrosis and cirrhosis in autoimmune hepatitis and primary biliary cholangitis patients
Disease | Parameter | Stage | Subgroup | Sensitivity (95%CI) | Specificity (95%CI) | AUROC (95%CI) |
AIH | Sample size | SF | n < 50 | 0.83 (0.55-0.95) | 0.82 (0.65-0.92) | 0.85 (0.82-0.88) |
n > 50 | 0.84 (0.73-0.91) | 0.77 (0.63-0.87) | 0.87 (0.84-0.90) | |||
AF | n < 50 | 0.78 (0.54-0.91) | 0.91 (0.78-0.96) | 0.92 (0.89-0.94) | ||
n > 50 | 0.78 (0.68-0.86) | 0.87 (0.73-0.94) | 0.88 (0.84-0.90) | |||
Cirrhosis | n < 50 | 0.90 (0.65-0.98) | 0.92 (0.74-0.98) | 0.96 (0.94-0.97) | ||
n > 50 | 0.88 (0.82-0.93) | 0.93 (0.86-0.96) | 0.92 (0.89-0.94) | |||
Treatment status | SF | Post | 0.78 (0.44-0.94) | 0.76 (0.60-0.86) | 0.79 (0.75-0.82) | |
AF | Post | 0.83 (0.66-0.93) | 0.96 (0.84-0.99) | 0.93 (0.91-0.95) | ||
Cirrhosis | Post | 0.91(0.77-0.97) | 0.97 (0.73-1.00) | 0.94 (0.91-0.95) | ||
Cutoff value | SF | 5.80-6.27 | 0.87 (0.81-0.92) | 0.69 (0.60-0.77) | 0.86 (0.83-0.89) | |
6.40-9.10 | 0.82 (0.75-0.88) | 0.89 (0.74-0.96) | 0.92 (0.89-0.94) | |||
AF | 9.00-11.00 | 0.83 (0.69-0.91) | 0.92 (0.73-0.98) | 0.88 (0.85-0.91) | ||
8.18-12.10 | 0.77 (0.71-0.83) | 0.85 (0.80-0.89) | 0.88 (0.85-0.90) | |||
Cirrhosis | 11.00-12.67 | 0.89 (0.82-0.94) | 0.88 (0.81-0.93) | 0.92 (0.94-0.96) | ||
11.00-19.00 | 0.88 (0.82-0.93) | 0.92 (0.88-0.95) | 0.90 (0.87-0.92) | |||
PBC | Sample size | SF | n < 100 | 0.81 (0.48-0.95) | 0.78 (0.60-0.89) | 0.82 (0.79-0.86) |
n > 100 | 0.83 (0.68-0.92) | 0.98 (0.74-1.00) | 0.97 (0.95-0.98) | |||
AF | n < 100 | 0.90 (0.85-0.94) | 0.88 (0.78-0.94) | 0.91 (0.88-0.93) | ||
n > 100 | 0.81 (0.64-0.91) | 0.88 (0.75-0.94) | 0.91 (0.88-0.93) | |||
Cirrhosis | n < 100 | 0.82 (0.67-0.91) | 0.94 (0.80-0.99) | 0.86 (0.82-0.89) | ||
n > 100 | 0.91 (0.76-0.97) | 0.97 (0.90-0.99) | 0.94 (0.92-0.96) | |||
Treatment status | SF | Post | 0.89 (0.70-0.97) | 0.98 (0.41-1.00) | 0.97 (0.95-0.98) | |
AF | Post | 0.85 (0.68-0.94) | 0.92 (0.63-0.99) | 0.93 (0.91-0.95) | ||
Cirrhosis | Post | 0.90 (0.71-0.97) | 0.96 (0.74-1.00) | 0.94 (0.92-0.96) | ||
Cutoff value | AF | 6.75-7.60 | 0.80 (0.73-0.86) | 0.81 (0.76-0.86) | 0.88 (0.85-0.91) | |
9.60-10.70 | 0.91 (0.84-0.95) | 0.82 (0.77-0.87) | 0.92 (0.89-0.94) | |||
11.90-17.90 | 0.75 (0.60-0.86) | 0.94 (0.88-0.97) | 0.93 (0.91-0.95) | |||
Cirrhosis | 11.40-14.40 | 0.84 (0.69-0.93) | 0.94 (0.90-0.97) | 0.96 (0.94-0.97) | ||
14.40-16.90 | 0.88 (0.72-0.97) | 0.99 (0.96-1.00) | 0.99 (0.98-1.00) |
- Citation: Chen H, Shen Y, Wu SD, Zhu Q, Weng CZ, Zhang J, Wang MX, Jiang W. Diagnostic role of transient elastography in patients with autoimmune liver diseases: A systematic review and meta-analysis. World J Gastroenterol 2023; 29(39): 5503-5525
- URL: https://www.wjgnet.com/1007-9327/full/v29/i39/5503.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i39.5503