Table 1.
Characteristic of included studies
| Author (year) | Country | Design | Follow-up (months) | Mean age (years) | Number(M/F) | Procedure | Pre-BMI (kg/m2) | Hair loss (%) | Quality assessment |
|---|---|---|---|---|---|---|---|---|---|
| Ledoux 2020 [4] | France | Retrospective | 7.4 ± 2.5 | 43.5 ±18.8 | 275 (38/237) | RYGB | 33.5 ± 9.2 | 162 (58.9) | 8 |
| France | Retrospective | 6.8 ± 2.0 | 42.1 ± 11.0 | 280 (40/240) | SG | 32.7 ± 5.4 | 176 (62.9) | ||
| France | Retrospective | 60.5 ± 19.7 | 48.2 ± 10.7 | 383 (44/339) | RYGB | 31.5 ± 6.2 | 140 (36.6) | ||
| France | Retrospective | 48.9 ± 17.0 | 46.3 ± 10.3 | 111 (11/100) | SG | 34.0 ± 8.5 | 35 (31.5) | ||
| Lin 2019 [13] | China | Retrospective | 31.5 ± 9.9 | 83 (44/39) | SG+JJB | 44.7 ± 7.6 | 55 (66.3) | 6 | |
| China | Retrospective | 12 | 26 ± 6.8 | 82 (41/41) | SG | 42.5 ± 6.9 | 48 (58.5) | ||
| China | Retrospective | 34.8 ± 12.3 | 79 (37/42) | RYGB | 42.4 ± 5.3 | 62 (78.5) | |||
| Castanha 2018 [14] | Brazil | Cross-sectional | 41.87 ± 37.5 | 44.2 ± 10.8 | 103 (11/92) | SVG/RYGB | 48.1 | 82 (79.6) | 3 |
| Du 2018 [15] | China | Retrospective | ≥ 12 | 47.7 ± 8.6 | 97 (33/64) | LGB | 34.6 ± 5.6 | 1 (1.0) | 7 |
| China | Retrospective | 41.8 ± 10.5 | 79 (22/57) | LSG | 35.4 ± 5.3 | 0 (0) | |||
| Katsogridaki 2018 [10] | Greece | Prospective | 6 | 38.7 ± 11.9 | 50 (14/36) | LSG | 44.5 ± 6.1 | 28 (56.0) | 7 |
| Trindade 2017 [16] | Brazil | Cross-sectional | ≥ 24 | 20-65 | N | RYGB | N | 23 (79.3) | 3 |
| Goldenshluger 2017 [17] | Israel | Retrospective | 36 | 39.9 ± 11.2 | 178 (57/121) | LSG | 42.9 ± 4.5 | 76 (42.7) | 6 |
| Guo 2017 [9] | China | Retrospective | 15 | 31 (17-43) | 54 (11/43) | LSG | 35.0 ± 6.0 | 42 (77.8) | 6 |
| Talebpour 2017 [8] | Iran | RCT | 24 | 38.6 ± 10.3 | 35 (6/29) | LSG | 44.6 ± 3.5 | 28 (80.0) | 5 |
| Iran | RCT | 24 | 35.3 ± 10.1 | 35 (8/27) | LGP | 48.4 ± 4.9 | 28 (80.0) | ||
| Dagan 2017 [18] | Israel | 3 | 18 (23.4) | 5 | |||||
| Israel | Prospective | 6 | 43.1 ± 9.3 | 77 (33/44) | LSG | 42.1 ± 4.8 | 39 (50.6) | ||
| Israel | 12 | 25 (32.5) | |||||||
| Lee 2016 [19] | Korea | Retrospective | 11.6 | 33.6 ± 10.3 | 72 (17/55) | LAGB | 38.9 ± 5.4 | 0 (0) | 7 |
| Korea | Retrospective | 7.0 | 39.1 ± 11.1 | 73 (17/56) | RYGB | 39.0 ± 6.9 | 1 (1.4) | ||
| Korea | Retrospective | 6.3 | 35.0 ± 10.4 | 116 (30/86) | SG | 39.1 ± 6.2 | 0 (0) | ||
| Santos 2015 [20] | Brazil | Retrospective | 7 | 40.1 ± 11.8 | 61 (0/61) | RYGB | 46.0 ± 6.1 | 27 (44.7) | 4 |
| 12 | 16 (26.2) | ||||||||
| Barros 2015 [21] | Brazil | Cross-sectional study | 7-24 | 40.53 ± 10.03 | 92 (16/76) | RYGB | 47.2 ± 6.8 | 46 (74.2) | 4 |
| Silva 2014 [22] | Brazil | Cross-sectional study | ≥ 1 | 18-59 | 70 (13/57) | RYGB | N | 44 (62.9) | 3 |
| Pan 2014 [23] | China | Cross-sectional study | ≥ 12 | 31.2 ± 9.9 | 82 (33/49) | LSG | 41.79 ± 6.88 | 15 (18.3) | 4 |
| Ruiz-Tovar 2014 [5] | Spain | Prospective | 12 | 44.2 ± 10.4 | 42 (0/42) | LSG | 51.2 ± 7.8 | 17 (40.5) | 7 |
| Boza 2011 [24] | Chile | Retrospective | 1–72 | 37.8 ± 12.4 | 199 (59/140) | LAGB | 36.0 ± 3.8 | 9 (4.5) | 5 |
| Depaula 2011 [25] | Brazil | Retrospective | 25–61 | 41.4 ± 12.1 | 120 (49/71) | LII-SG | 43.4 ± 4.2 | 94 (79.7) | 7 |
RYGB Roux-en-Y gastric bypass, SG sleeve gastrectomy, SG+JJB sleeve gastrectomy with jejunojejunal bypass, LSG laparoscopic sleeve gastrectomy, LGB laparoscopic gastric banding, LII-SG laparoscopic ileal interposition associated with a sleeve gastrectomy, LGP laparoscopic gastric placation, LAGB laparoscopic adjustable gastric banding, SVG sleeve vertical gastrectomy, BMI body mass index