| Literature DB >> 33675022 |
Wen Zhang1, Meiling Fan2, Cunchuan Wang3,4, Kamal Mahawar5, Chetan Parmar6,7, Weiju Chen8, Wah Yang9,10,11,12.
Abstract
BACKGROUND: Hair loss is a common complication after metabolic and bariatric surgery (MBS). There is a lack of published systematic review in the scientific literature on this topic. The aim of this study was to perform a systematic review and meta-analysis on hair loss after MBS in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines.Entities:
Keywords: Bariatric surgery; Hair loss; Meta-analysis; Metabolic surgery; Nutrition
Mesh:
Substances:
Year: 2021 PMID: 33675022 PMCID: PMC8113177 DOI: 10.1007/s11695-021-05311-2
Source DB: PubMed Journal: Obes Surg ISSN: 0960-8923 Impact factor: 4.129
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 [ | 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 [ | 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 [ | Brazil | Cross-sectional | 41.87 ± 37.5 | 44.2 ± 10.8 | 103 (11/92) | SVG/RYGB | 48.1 | 82 (79.6) | 3 |
| Du 2018 [ | 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 [ | Greece | Prospective | 6 | 38.7 ± 11.9 | 50 (14/36) | LSG | 44.5 ± 6.1 | 28 (56.0) | 7 |
| Trindade 2017 [ | Brazil | Cross-sectional | ≥ 24 | 20-65 | N | RYGB | N | 23 (79.3) | 3 |
| Goldenshluger 2017 [ | Israel | Retrospective | 36 | 39.9 ± 11.2 | 178 (57/121) | LSG | 42.9 ± 4.5 | 76 (42.7) | 6 |
| Guo 2017 [ | China | Retrospective | 15 | 31 (17-43) | 54 (11/43) | LSG | 35.0 ± 6.0 | 42 (77.8) | 6 |
| Talebpour 2017 [ | 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 [ | 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 [ | 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 [ | 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 [ | Brazil | Cross-sectional study | 7-24 | 40.53 ± 10.03 | 92 (16/76) | RYGB | 47.2 ± 6.8 | 46 (74.2) | 4 |
| Silva 2014 [ | Brazil | Cross-sectional study | ≥ 1 | 18-59 | 70 (13/57) | RYGB | N | 44 (62.9) | 3 |
| Pan 2014 [ | China | Cross-sectional study | ≥ 12 | 31.2 ± 9.9 | 82 (33/49) | LSG | 41.79 ± 6.88 | 15 (18.3) | 4 |
| Ruiz-Tovar 2014 [ | Spain | Prospective | 12 | 44.2 ± 10.4 | 42 (0/42) | LSG | 51.2 ± 7.8 | 17 (40.5) | 7 |
| Boza 2011 [ | Chile | Retrospective | 1–72 | 37.8 ± 12.4 | 199 (59/140) | LAGB | 36.0 ± 3.8 | 9 (4.5) | 5 |
| Depaula 2011 [ | 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
Fig. 1Flow diagram of study selection
Fig. 2Forest plots of overall incidence
Fig. 3a Forest plots of follow-up duration. b Forest plots of procedures
Studies of zinc and hair loss
| Author (year) | Demographics (hair loss group) | Measures and outcomes |
|---|---|---|
| Ledoux 2020 [ | Sex: 10M/328F Age: 41.5 ± 10.2 Country: France | No difference in serum zinc levels in hair loss patients (12.3 ± 1.8 μmol/l) vs. controls (12.2 ± 1.9 μmol/l) |
| Katsogridaki 2018 [ | Sex: 5M/23F Age: 38.54 ± 11.04 Country: Greece | Mean zinc levels in hair loss patients (0.46 ± 0.13 mcg/ml) vs controls (0.73 ± 0.13 mcg/ml) ( |
| Guo 2017 [ | Sex: 1M/20F Age: 31 ± 6 Country: China | No difference in serum zinc levels in hair loss patients (88 ± 9 μmol/l) vs. controls (93 ± 13 μmol/l) |
| Ruiz-Tovar 2014 [ | Sex: 0F/16F Country: Spain | Mean zinc levels in hair loss patients (72.1 ± 5.7 mg/dL) vs controls (88.7 ± 8 mg/dL) ( |
Fig. 4Forest plots of studies in serum zinc
Studies of iron and ferritin and hair loss
| Author (year) | Demographics (hair loss group) | Measures and outcomes |
|---|---|---|
| Ledoux 2020 [ | Sex: 10M/328F Age: 41.5 ± 10.2 Country: France | Mean ferritin levels in hair loss patients (99.5 ± 82.8 μg/l) vs controls (119.9 ± 114.3 μg/l) ( |
| Katsogridaki 2018 [ | Sex: 5M/23F Age: 38.54 ± 11.04 Country: Greece | No difference in serum iron levels in hair loss patients (63.36 ± 22.31) vs. controls (63.91 ± 20.65) ( |
| Guo 2017 [ | Sex: 1M/20F Age: 31 ± 6 Country: China | No difference in serum iron levels in hair loss patients (8.7 ± 0.5 mmol/l) vs. controls (8.6 ± 0.5 mmol/l) ( |
| Ruiz-Tovar 2014 [ | Sex: 0F/16F Country: Spain | Mean iron levels in hair loss patients (42.2 ± 5.7 mg/dL) vs controls (91.8 ± 16.6 mg/dL) ( Mean ferritin levels in hair loss patients (62.3 ± 51.9 ng/mL) vs. controls (83.1 ± 83.4 ng/mL) ( |
Fig. 5a Forest plots of studies in serum iron. b Forest plots of studies in serum ferritin
Studies of folic acid and vitaminB12 and hair loss
| Author (year) | Demographics (hair loss group) | Measures and outcomes |
|---|---|---|
| Katsogridaki 2018 [ | Sex: 5M/23F Age: 38.54 ± 11.04 Country: Greece | Mean folic acid levels: hair loss (8 ± 2.81 ng/ml) vs. controls (9.83 ± 3.28 ng/ml) ( |
| Guo 2017 [ | Sex: 11M/43F Age: 31 Country: China | No difference in vitamin B12 levels in hair loss patients (453 ± 178 ng/L) vs. controls (419 ± 155 ng/L) ( Mean folic acid levels in hair loss patients (5.2 ± 2.0 μg/L) vs. controls (7.9 ± 2.4 μg/L) ( |
Fig. 6a Forest plots of studies in folic acid. b Forest plots of studies in vitamin B12
Studies of age and gender and hair loss
| Author (Year) | Demographics (hair loss group) | Measures and outcomes |
|---|---|---|
| Ledoux 2020 [ | Sex: 10M/328F Age: 41.5 ± 10.2 Country: France | Age (years): hair loss patients ( 41.5 ± 10.2) vs. controls ( 44.1 ± 11.5) ( Gender: male (10/78) vs. female with (328/477) ( |
| Katsogridaki 2018 [ | Sex: 5M/23F Age: 38.54 ± 11.04 Country: Greece | Age: no difference between hair loss patients (38.5 ± 11.04 years) and controls (39 ± 13.1 years) ( Gender: male (5/14) vs. female (23/36) ( |
| Guo 2017 [ | Sex: 11M/43F Age: 31 Country: China | Age: no difference between hair loss patients (31 ± 6 years) and controls (30 ± 7 years)( Gender: male (1/11) vs. female (20/43) ( |
| Pan 2014 [ | Sex: 6M/9F Age: NR Country: China | NR |
NR not reported
Fig. 7a Forest plots of studies in gender. b Forest plots of studies in age