| Literature DB >> 30697190 |
Jinping Yuan1, Chong Sun1, Shibin Jiang1, Yansong Lu1, Yuhui Zhang1, Xing-Hua Gao1, Yan Wu1, Hong-Duo Chen1.
Abstract
Background: Associations between vitiligo and thyroid disorders have been suggested, However, the prevalence of thyroid disorders in vitiligo vary widely. Purpose: To conduct a systematic review and meta-analysis assessing the prevalence of thyroid disorders in patients with vitiligo. Method: The PubMed, Cochrane Library, EMBASE, CNKI (China National Knowledge Infrastructure), Chongqing VIP database, and Wanfang database from inception to August 2, 2018 were systematically searched. The pooled prevalence and its 95% confidence interval (CI) were calculated.Entities:
Keywords: meta-analysis; prevalence; systematic review; thyroid disorders; vitiligo
Year: 2019 PMID: 30697190 PMCID: PMC6340922 DOI: 10.3389/fendo.2018.00803
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Flow diagram of the study selection process.
Characteristics of studies on the prevalence of thyroid disorders in patients with vitiligo.
| Wan and Chen ( | China | 324 | 161/163 | — | — | Adult + children | — | 3.09 | — | — | 0.93 | — |
| Vachiramon et al. ( | Thailand | 197 | — | — | — | — | — | — | — | — | 6.60 | 4.06 |
| Topal et al. ( | Turkey | 100 | 51/49 | 4.9 ± 6.7 (1M−39) | 34.9 ± 16.8 (3–78) | Adult + children | — | — | — | 5.00 | — | — |
| Yazdanpanah et al. ( | Iran | 72 | 40/32 | — | 27.04 ± 1.22 | — | — | — | 27.78 | — | — | — |
| Kartal et al. ( | Turkey | 155 | 80/75 | — | — | Children | 0.65 | — | 0.65 | — | — | 1.29 |
| Bae et al. ( | Korea | 73,336 | 32,519/40,817 | — | — | Adult + children | — | — | — | — | 0.86 | 0.75 |
| Wang et al. ( | China | 67 | 30/37 | — | 29.15 ± 13.74 (5–70) | Adult + children | — | 5.97 | — | 10.45 | — | — |
| Wang and Wang ( | China | 100 | 31/69 | — | 21.6 ± 5.8 (18–62) | Adult | — | 17.00 | — | — | — | — |
| Gill et al. ( | USA | 1,098 | 508/590 | — | 4.8–99.8 | Adult + children | — | 0.91 | — | 8.65 | 1.09 | 1.28 |
| Díaz–Angulo et al. ( | Spain | 71 | 34/37 | — | — | Adult + children | 1.41 | 9.86 | 8.45 | 1.41 | — | — |
| Chen and Chen ( | China | 352 | 177/175 | 55D−4.5 | 5–56 | Adult + children | — | 0.57 | — | 2.27 | — | — |
| Wang et al. ( | China | 60 | 18/42 | — | 22 ± 6.4 (18–58) | Adult | — | 16.67 | — | — | — | — |
| Cheng et al. ( | Chia | 145 | 88/57 | — | 10.73 ± 3.73 (2–17) | Children | — | — | 4.14 | 2.76 | — | — |
| Dash et al. ( | India | 100 | 41/59 | 4.64 ± 6.05 | 29.49 ± 15 (2–62) | Adult + children | — | 3.00 | — | 13.00 | — | — |
| Ma and Li ( | China | 978 | 540/438 | — | 37.2 ± 10.7 (5–85) | Adult + children | — | 1.33 | — | 1.64 | — | — |
| Qin ( | China | 413 | 253/160 | — | — | Adult + children | — | 0.97 | — | — | — | — |
| Ingordo et al. ( | Italy | 154 | 52/123 | — | — | Adult + children | 1.30 | 3.25 | 1.95 | 19.48 | — | — |
| Colucci et al. ( | Italy | 79 | 26/53 | 11.67 ± 11.85 | 38.45 ± 16.0 (18–73) | Adult | 2.53 | 5.06 | 2.53 | 3.80 | — | — |
| XU and XU ( | China | 1,386 | 690/696 | — | — | Adult + children | — | 5.34 | — | 2.60 | — | — |
| Wang et al. ( | China | 215 | 98/117 | 1W−60 | 35.14 ± 16.65 | Adult | — | 3.26 | — | 0.93 | — | 1.40 |
| Gopal et al. ( | India | 150 | 83/67 | 9–63 | 3.4 ± 1.77 (3W−26) | Adult + childre | — | 0.00 | — | 20.00 | — | — |
| Zhang et al. ( | China | 60 | 26/34 | 12.3 ± 8.2 | 35 ± 12 | Adult | — | — | 8.33 | — | — | — |
| Yu and Miao ( | China | 606 | 309/297 | 2.96 ± 5.22 | 23.50 ± 14.79 (2M−74) | Adult + children | — | 2.48 | — | 1.32 | — | — |
| Afsar and Isleten ( | Turkey | 79 | 29/50 | — | 8.19 ± 3.45 (2–5) | Children | — | — | 16.46 | 2.53 | — | — |
| Nejad et al. ( | Iran | 86 | 33/52 | 6 | 28.11 ± 12.5 | Adult + children | — | 6.98 | 6.98 | 6.98 | — | — |
| Agarwal et al. ( | India | 268 | 116/152 | 1M−10 | — | Children | — | 2.24 | — | 6.72 | — | — |
| Sheth et al. ( | USA | 2,441 | — | — | — | — | — | 1.19 | — | 7.66 | 0.98 | — |
| Gey et al. ( | France | 626 | 216/49 | — | 31 ± 18.76 (1–74) | Adult + children | 1.92 | 2.56 | 8.15 | 8.31 | — | — |
| Kroon et al. ( | Netherlands | 260 | 110/150 | — | — | Children | 0.38 | — | 5.38 | 1.15 | — | — |
| Yang and Wang ( | China | 540 | 284/256 | 23.37 ± 13.45 (1W−42) | — | Adult + children | — | 1.30 | — | 0.74 | — | — |
| Kang et al. ( | China | 521 | 272/249 | — | — | Adult + children | — | 1.54 | — | — | — | — |
| Sawicki et al. ( | Canada | 300 | 141/159 | — | 41.5 ± 15.5 (11–82) | Adult + children | — | 0.67 | — | 12.00 | — | — |
| Kumar et al. ( | India | 50 | 21/29 | 5.5 ± 4.3 | 42.7 ± 17 (18–70) | Adult | — | 0.00 | 28.00 | 0.00 | — | — |
| Kroon et al. ( | Netherlands | 434 | 216/218 | — | — | Adult | 0.69 | 1.15 | 1.61 | 8.53 | — | — |
| Jian et al. ( | China | 10,000 | 5,322/4,678 | 46.17 ± 67.8 (10D−50) | — | — | — | 0.52 | — | 0.14 | — | — |
| Cheng et al. ( | China | 287 | 143/144 | 3.0 ± 5.6 (2D−40) | 21.8 ± 14.8 (2M−74) | Adult + children | — | 0.70 | — | 1.05 | — | — |
| Wei et al. ( | China | 1,125 | 573/552 | — | — | Children | — | 0.09 | — | 0.18 | — | — |
| Pradhan et al. ( | India | 79 | 40/39 | — | — | Adult + children | — | — | — | 1.27 | — | — |
| Nunes and Nunes ( | Brazil | 85 | 29/56 | — | 37.14 ± 18.64 (6–78) | Adult + children | — | 2.35 | 1.18 | 14.12 | — | — |
| Prćić et al. ( | Serbia | 75 | 28/47 | 2.6 ± 2.6 (1M−12) | 10.81 ± 4.06 (6M−17.7) | Children | — | — | 2.66 | 5.33 | — | 14.67 |
| Uncu et al. ( | Turkey | 50 | 26/24 | 2.26 ± 2.95 | 9.52 ± 4.54 | Children | — | 0.00 | 10.00 | 0.00 | — | — |
| Narita et al. ( | Japan | 133 | 57/76 | 8.2 ± 8.6 (0–63) | 49.3 ± 19.8 (3–89) | Adult + children | — | — | — | — | 4.51 | 7.52 |
| Tang et al. ( | China | 1,367 | 630/737 | 1M−30 | 1–79 | Adult + children | — | 0.29 | — | 0.15 | — | 0.07 |
| Poojary ( | India | 204 | 100/104 | — | 6M−79 | Adult + children | — | — | — | — | 0.49 | — |
| Cho et al. ( | Korea | 254 | 158/166 | — | — | Adult + children | 0.79 | — | 2.76 | 0.79 | 1.57 | |
| Ingordo et al. ( | Italy | 40 | 40 | — | — | Adult | — | 2.50 | 2.50 | 2.50 | — | — |
| Angulo et al. ( | Spain | 83 | 39/44 | — | 36.35 ± 18.83 | — | 1.40 | 10.00 | — | — | — | — |
| Akay et al. ( | Turkey | 80 | 30/50 | 1M−408M | — | Adult + children | — | 2.50 | — | 1.25 | — | 31.25 |
| Mazereeuw–Hautier et al. ( | France | 1,14 | 53/61 | — | 8.3 ± 0.7 (0.25–15) | Children | — | — | — | 9.38 | — | — |
| Paravar and Lee ( | California | 135 | 55/80 | — | 2–81 | Adult + children | — | 2.96 | — | 14.07 | — | — |
| Altaf et al. ( | India | 192 | 91/101 | — | 6–60 | Adult + children | — | 1.04 | 12.50 | 15.10 | — | — |
| Zhou and Fu ( | China | 1,049 | 462/587 | 1M−40 | 18–72 | Adult | — | 1.81 | — | 0.57 | — | — |
| Yang et al. ( | China | 363 | 198/165 | 1M−11 | 3–13 | Children | — | 0.83 | — | 4.41 | — | — |
| Tanioka et al. ( | Japan | 144 | 49/49 | — | — | — | — | — | — | — | 1.39 | 3.47 |
| Liu et al. ( | China | 1,097 | 485/612 | — | 28.8 ± 17.0 | Adult + children | — | 0.82 | — | — | — | — |
| Zhang et al. ( | China | 6,199 | 3,276/2,923 | 1.5 ± 4.5 (0–961M) | 24.5 ± 14.6 (1–91) | Adult + children | — | 1.16 | — | 1.00 | — | — |
| Birlea et al. ( | Colorado | 51 | 18/33 | — | 49.5 ± 22.8 (2–83) | Adult + children | — | — | — | — | 0.00 | 15.69 |
| Yang and Yang ( | China | 87 | 43/44 | 10D−27 | 32.9 ± 14.3 (4–72) | Adult + children | — | — | 1.15 | — | 1.15 | 14.94 |
| Sedighe and Gholamhossein ( | Iran | 109 | 38/79 | — | 34.41 ± 13 (8–65) | Adult + children | — | — | 12.84 | 14.68 | 0.92 | — |
| Gopal et al. ( | India | 150 | 81/69 | 15D−31 | 10–55 | Adult + children | — | — | — | 12.00 | — | — |
| Yang et al. ( | China | 38 | 13/25 | 1.5–10 | 13–56 | Adult + children | — | — | 2.63 | 13.16 | 7.89 | |
| Wu et al. ( | China | 3,143 | — | — | — | Adult + children | — | 0.89 | — | 0.76 | — | — |
| Fang and Tian ( | China | 562 | 276/286 | 2D−43 | 40D−69 | Adult + children | — | 2.14 | — | 0.36 | — | — |
| Daneshpazhooh et al. ( | Iran | 94 | 48/46 | 0–40 | 28.67 ± 15.42 | Adult + children | — | — | 1.06 | — | 1.06 | — |
| Laberge et al. ( | USA | 133 | — | — | — | — | — | 6.02 | — | 16.54 | — | — |
| Kakourou et al. ( | Greece | 54 | 23/31 | 3.7 ± 3.6 (0.16–15.75) | 11.4 ± 4.89 | Children | — | — | 20.47 | 3.70 | — | 7.41 |
| Kurtev and Dourmishev ( | Bulgaria | 61 | 26/35 | 0.08–11 | 1.16–16.16 | Children | — | 5.17 | 8.62 | — | — | — |
| Iacovelli ( | Italy | 121 | 40/81 | 1M−11 | 3–13 | Children | — | 0.83 | — | 4.96 | — | — |
| Onunu and Kubeyinje ( | Nigeria | 351 | 153/198 | — | 9M−80 | Adult + children | — | 0.57 | — | — | — | |
| Zettinig et al. ( | Austria | 106 | 42/64 | — | 39 ± 18 (6–80) | Adult + children | 1.89 | — | 3.77 | 11.32 | 0.00 | 3.77 |
| Martis et al. ( | India | 100 | 45/55 | — | — | — | — | — | — | 2.00 | — | — |
| Hegedus et al. ( | Denmark | 35 | — | — | — | — | — | 17.14 | — | 5.71 | — | — |
| Schallreuter et al. ( | FRG | 321 | 114/207 | 2M−65 | 1–85 | Adult + children | — | 3.74 | — | 3.43 | 0.62 | 0.31 |
| Betterle et al. ( | Italy | 373 | 138/235 | — | 7–80 | Adult + children | — | — | — | — | 4.29 | 1.88 |
| Grimes et al. ( | Washington | 70 | 24/46 | — | 3–73 | Adult + children | — | 5.71 | — | 4.29 | — | — |
| Cunliffe et al. ( | England | 56 | 14/42 | — | 38 ± 18.6 | — | — | 5.36 | — | — | — | 12.50 |
SHyper, subclinical hyperthyroidism; OHyper, overt hyperthyroidism; SHypo, subclinical hypothyroidism; OHypo, overt hypothyroidism; GD, Graves disease; HT, Hashimoto thyroiditis; M, month; W, week; D, day.
The pooled prevalence and subgroup analysis of thyroid disorders in vitiligo patients.
| Subclinical hyperthyroidism | Overall | 10 | 0.01 | 0.00 | 0.01 | 0.0% | 0.568 | Fixed | |
| Area | Europe | 8 | 0.01 | 0.00 | 0.01 | 6.2% | 0.382 | Fixed | |
| Asia | 2 | 0.01 | −0.00 | 0.02 | 0.0% | 0.869 | Fixed | ||
| Gender | Male | 2 | 0.01 | −0.00 | 0.02 | 100% | — | — | |
| Female | 2 | 0.01 | −0.00 | 0.01 | 0.0% | 0.795 | Fixed | ||
| Age | Children | 2 | 0.00 | −0.00 | 0.01 | 0.0% | 0.719 | Fixed | |
| Adults | 2 | 0.01 | 0.00 | 0.02 | 3.1% | 0.310 | Fixed | ||
| Type | SV | 2 | 0.00 | — | — | — | — | — | |
| NSV | 6 | 0.01 | 0.00 | 0.01 | 0.0% | 0.825 | Fixed | ||
| Stage | Active | 1 | 0.02 | −0.02 | 0.07 | — | — | — | |
| Overt hyperthyroidism | Overall | 50 | 0.02 | 0.01 | 0.02 | 83.9% | 0.000 | Random | |
| Area | Europe | 11 | 0.03 | 0.02 | 0.05 | 65.8% | 0.001 | Random | |
| North America | 7 | 0.01 | 0.01 | 0.01 | 49.3% | 0.066 | Fixed | ||
| South America | 1 | 0.02 | −0.01 | 0.06 | — | — | — | ||
| Asia | 30 | 0.01 | 0.01 | 0.02 | 87.7% | 0.000 | Random | ||
| Africa | 1 | 0.01 | −0.00 | 0.01 | — | — | — | ||
| Gender | Male | 9 | 0.01 | 0.00 | 0.03 | 81.6% | 0.000 | Random | |
| Female | 8 | 0.02 | 0.01 | 0.04 | 81.9% | 0.000 | Random | ||
| Age | Children | 9 | 0.01 | 0.00 | 0.02 | 0.702 | 0.001 | Random | |
| Adults | 11 | 0.05 | 0.03 | 0.07 | 0.864 | 0.000 | Random | ||
| Type | SV | 3 | 0.00 | −0.00 | 0.01 | 42.3% | 0.188 | Fixed | |
| NSV | 6 | 0.06 | 0.02 | 0.09 | 95% | 0.000 | Random | ||
| Generalized | 2 | 0.04 | 0.02 | 0.06 | 34.7% | 0.216 | Fixed | ||
| Acrofacial | 1 | 0.00 | — | — | — | — | — | ||
| Stage | Active | 2 | 0.05 | −0.02 | 0.11 | — | — | — | |
| Stable | 1 | 0.00 | — | — | — | — | — | ||
| Subclinical hypothyroidism | Overall | 25 | 0.06 | 0.04 | 0.07 | 83.9% | 0.000 | Random | |
| Area | Europe | 10 | 0.05 | 0.03 | 0.07 | 80.3% | 0.000 | Random | |
| Asia | 13 | 0.08 | 0.05 | 0.11 | 87.9% | 0.000 | Random | ||
| North America | 1 | 0.03 | −0.02 | 0.07 | — | — | — | ||
| South America | 1 | 0.01 | −0.01 | 0.03 | — | — | — | ||
| Gender | Male | 4 | 0.02 | 0.01 | 0.03 | 0.0% | 0.521 | Fixed | |
| Female | 3 | 0.03 | 0.01 | 0.04 | 73.6% | 0.051 | Fixed | ||
| Age | Children | 8 | 0.07 | 0.03 | 0.11 | 85.2% | 0.000 | Random | |
| Adults | 5 | 0.05 | 0.01 | 0.10 | 80.4% | 0.000 | Random | ||
| Type | SV | 2 | 0.00 | — | — | — | — | — | |
| NSV | 7 | 0.04 | 0.02 | 0.06 | 77.5% | 0.000 | Random | ||
| Stage | Active | 2 | 0.25 | 0.12 | 0.38 | 0.0% | — | — | |
| Stable | 1 | 0.31 | 0.15 | 0.47 | — | — | — | ||
| Overt hypothyroidism | Overall | 54 | 0.03 | 0.03 | 0.04 | 94.1% | 0.000 | Random | |
| Area | Europe | 13 | 0.06 | 0.04 | 0.09 | 85.5% | 0.000 | Random | |
| North America | 7 | 0.09 | 0.07 | 0.11 | 74.9% | 0.001 | Random | ||
| South America | 1 | 0.14 | 0.07 | 0.22 | — | — | — | ||
| Asia | 33 | 0.01 | 0.01 | 0.02 | 89.8% | 0.000 | Random | ||
| Gender | Male | 10 | 0.02 | 0.01 | 0.03 | 80.9% | 0.000 | Random | |
| Female | 9 | 0.06 | 0.04 | 0.08 | 91.7% | 0.000 | Random | ||
| Age | Children | 10 | 0.04 | 0.02 | 0.06 | 86.2% | 0.000 | Random | |
| Adults | 7 | 0.02 | 0.01 | 0.04 | 86.6% | 0.000 | Random | ||
| Type | SV | 3 | 0.00 | −0.00 | 0.01 | 0.0% | 0.734 | Fixed | |
| NSV | 8 | 0.03 | 0.01 | 0.05 | 86.8% | 0.000 | Random | ||
| Generalized | 2 | 0.10 | −0.03 | 0.22 | 92.6% | 0.000 | Random | ||
| Acrofacial | 1 | 0.01 | −0.00 | 0.02 | — | — | — | ||
| Stage | Active | 1 | 0.02 | −0.02 | 0.07 | — | — | — | |
| Graves disease | Overall | 16 | 0.01 | 0.01 | 0.02 | 59.9% | 0.002 | Random | |
| Area | Europe | 3 | 0.02 | −0.01 | 0.06 | 90.4% | 0.001 | Random | |
| North America | 3 | 0.01 | 0.00 | 0.02 | 76.1% | 0.015 | Random | ||
| Asia | 10 | 0.01 | 0.01 | 0.02 | 56.4% | 0.014 | Random | ||
| Gender | Male | 4 | 0.01 | 0.01 | 0.01 | 58.1% | 0.122 | Fixed | |
| Female | 4 | 0.01 | 0.01 | 0.01 | 0.0% | 0.502 | Fixed | ||
| Type | SV | 2 | 0.00 | — | — | — | — | — | |
| NSV | 1 | 0.01 | −0.00 | 0.02 | — | — | — | ||
| Generalized | 1 | 0.02 | −0.00 | 0.04 | — | — | — | ||
| Vulgaris | 1 | 0.01 | −0.01 | 0.03 | — | — | — | ||
| Hashimoto thyroiditis | Overall | 19 | 0.02 | 0.01 | 0.03 | 92.2% | 0.000 | Random | |
| Area | Europe | 6 | 0.04 | 0.01 | 0.07 | 83% | 0.000 | Random | |
| North America | 2 | 0.08 | −0.06 | 0.22 | 87.5% | 0.005 | Random | ||
| Asia | 11 | 0.02 | 0.01 | 0.03 | 94.7% | 0.000 | Random | ||
| Gender | Male | 6 | 0.00 | 0.00 | 0.00 | 56.8% | 0.055 | Fixed | |
| Female | 6 | 0.09 | 0.04 | 0.14 | 85.3% | 0.000 | Random | ||
| Age | Children | 3 | 0.07 | −0.01 | 0.15 | 83.9% | 0.002 | Random | |
| Adults | 1 | 0.01 | −0.00 | 0.03 | — | — | — | ||
| Type | SV | 4 | 0.00 | — | — | — | — | — | |
| NSV | 2 | 0.08 | −0.04 | 0.20 | 93.6% | 0.000 | Random | ||
| Generalized | 3 | 0.09 | 0.06 | 0.13 | 20.7% | 0.283 | Fixed | ||
| Vulgaris | 1 | 0.03 | 0.00 | 0.06 | — | — | — | ||
| Acrofacial | 1 | 0.10 | −0.01 | 0.21 | — | — | — |
Figure 2The forest plot of three thyroid disorders in vitiligo patients. The highest prevalence was reported in (A) subclinical hypothyroidism, and a majority of investigators paid attention to (B) overt hypothyroidism, and (C) overt hyperthyroidism in vitiligo patients.
Figure 3The three thyroid disorders in vitiligo patients with no publication bias (A) overt hyperthyroidism; (B) overt hypothyroidism; (C) subclinical hypothyroidism.