| Literature DB >> 34397700 |
Shuang Tan1, Long Chen2, Likun Jin3, Xiaomin Fu1.
Abstract
PURPOSE: The aim of this study was to evaluate the efficiency and safety of methimazole (MMI) and propylthiouracil (PTU) in the treatment of hyperthyroidism.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34397700 PMCID: PMC8322508 DOI: 10.1097/MD.0000000000026707
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Characteristics of articles involved in this meta-analysis.
| Author | Year | Country | Length of study | Groups | Intervention | N | Male/Female | Jadad score | Outcomes |
| Homsanit et al[ | 2001 | Thailand | 3 mo | MMI | 15 mg once/day | 35 | 4/31 | 5 | 3, 4, 5, 13 |
| PTU | 150 mg once/day | 36 | 5/31 | ||||||
| He[ | 2004 | China | 3 mo | MMI | 15 mg once/day | 15 | 5/10 | 4 | 3, 4, 7, 8, 13 |
| PTU | 150 mg once/day | 15 | 4/11 | ||||||
| Nakamura[ | 2007 | Japan | 3 mo | MMI | 30 mg once/day | 98 | 25/73 | 6 | 14, 15, 17 |
| PTU | 300 mg once/day | 81 | 11/70 | ||||||
| Otsuka[ | 2012 | Japan | 3 mo | MMI | 30 mg once/day | 144 | 21/123 | 4 | 2, 14, 15 |
| PTU | 300 mg once/day | 120 | 11/109 | ||||||
| Ma[ | 2014 | China | 3 mo | MMI | 10 mg, 3 times /day for 30 days; then 10 mg, twice/d for 15 days; then 15 mg, once/day for 45 days | 50 | 24/76 | 4 | 5, 6, 7, 8, 9 |
| PTU | 100 mg, 3 times/day for 30 day; then 100 mg, twice/day for 15 days; then 50 mg, 3 times/days for 45 days | 50 | |||||||
| Xiang[ | 2014 | China | 2 y | MMI | 20 mg, once/day for a month; then 2.5 mg, once/day for 1–2 year | 23 | 8/15 | 4 | 10, 14, 15, 17 |
| PTU | 100 mg, 3 times/day for a month; then 50 mg, once/day for 1–2 y | 23 | 6/17 | ||||||
| Wang[ | 2015 | China | 2 y | MMI | 10 mg, 3 times/day | 60 | 31/29 | 3 | 1, 8, 9, 11, 12, 13, 17 |
| PTU | 100 mg, 3 times/day | 60 | 27/33 | ||||||
| He[ | 2016 | China | 1.5 y | MMI | 30 mg/day, 3 times/day and then 5–10 mg/day, 3 times/day | 50 | 23/27 | 2 | 3, 4, 5 |
| PTU | 100 mg, 3 times/day; then 5–100 mg, 3 times/day | 50 | 22/28 | ||||||
| Liang[ | 2016 | China | 3 mo | MMI | 30 mg/day; then 5–10 mg/day | 40 | 0/40 | 5 | 10, 11, 12 |
| PTU | 300mg/d; then 50–100 mg/day | 40 | 0/40 | ||||||
| Wang[ | 2016 | China | 6 mo | MMI | 10 mg, 3 times/day | 50 | 19/31 | 4 | 1, 5, 6, 7, 11, 12, 13, 14, 15, 17 |
| PTU | 100 mg, 3 times/day | 50 | 17/33 | ||||||
| Bai[ | 2017 | China | 3 mo | MMI | 10 mg, 3 times/day for 3 wk; then 10 mg, twice/day for 2 wk; then 10 mg, once/day for 3 mo | 45 | 23/22 | 2 | 5, 6, 7, 13, 14, 15, 16, 17 |
| PTU | 100, 3 times/day for 3 wk; then 100 mg, 1–2 times/day for 2 wk; then 50 mg, once/day for 3 mo | 45 | 24/21 | ||||||
| Ma[ | 2017 | China | 3 mo | MMI | 30 mg/day; then 5–10 mg/day | 128 | 50/78 | 3 | 14 |
| PTU | 300 mg/day; then 50–100 mg/day | 128 | 60/68 | ||||||
| Xu[ | 2017 | China | 3 mo | MMI | 10 mg, twice/day for 3 mo | 45 | 15/30 | 5 | 5, 6, 7, 10, 11,12, 14 |
| PTU | 100 mg, 3 times/day for 3 mo | 45 | 16/29 | ||||||
| Chen[ | 2018 | China | 1 y | MMI | 30 mg, once/day; then 5–10 mg/day for 1 y | 60 | 26/34 | 4 | 3, 4, 5, 6, 10, 11,12, 14 |
| PTU | 250 mg/day; 40–90 mg/day for 1 y | 60 | 25/35 | ||||||
| Wu[ | 2018 | China | 1 y | MMI | 20–40 mg, once or twice | 34 | 15/19 | 3 | 1, 5, 6, 7, 14, 15, 16, 17 |
| PTU | 300 mg; then 150–400 mg | 34 | 14/20 | ||||||
| Yang[ | 2019 | China | 6 mo | MMI | 30 mg/day; then 5–10 mg/day | 96 | 34/62 | 4 | |
| PTU | 300 mg/day; then 50–100 mg/day | 96 | 30/66 | 5, 6, 7, 10 |
Figure 1The screen process of the included articles.
Overall data of the meta-analysis.
| Outcomes | Indicators | WMD/OR (95% CI) | ||
| Thyroid hormone levels | T3, nmol/L (4) | |||
| −1.321 (−2.271 to −0.372) | .006 | 96.4 | ||
| Sensitivity | −1.321 (−2.271 to −0.372) | |||
| Study time | ||||
| 3 mo | −2.017 (−2.359 to −1.674) | <.001 | 0.0 | |
| ≥1 y | −0.583 (−1.021 to −0.145) | .009 | 68.5 | |
| Literature quality | ||||
| High quality | −1.474 (−2.762 to −0.185) | .025 | 97.5 | |
| Low quality | −0.890 (−1.403 to −0.377) | .001 | NA | |
| Blinding of outcome assessment | ||||
| Yes | −1.474 (−2.762 to −0.185) | .025 | 97.5 | |
| No | −0.890 (−1.403 to −0.377) | .001 | NA | |
| T4, nmol/L (4) | ||||
| −37.311 (−61.012 to −13.610) | .002 | 98.2 | ||
| Sensitivity | −37.311 (−61.012 to −13.610) | |||
| Study time | ||||
| 3 mo | −60.064 (−79.052 to −41.076) | <.001 | 58.4 | |
| ≥1 y | −15.340 (−36.123 to 5.442) | .148 | 97.8 | |
| Literature quality | ||||
| High quality | −42.640 (−84.080 to −1.199) | .044 | 98.4 | |
| Low quality | −26.130 (−31.940 to 20.320) | <.001 | NA | |
| Blinding of outcome assessment | ||||
| Yes | −42.640 (−84.080 to −1.199) | .044 | 98.4 | |
| No | −26.130 (−31.940 to 20.320) | <.001 | NA | |
| TSH, μIU/mL (9) | ||||
| 0.787 (0.380–1.194) | <.001 | 98.0 | ||
| Sensitivity | 0.787 (0.380–1.194) | |||
| Study time | ||||
| 3 mo | 1.385 (−0.374 to 3.145) | .123 | 98.8 | |
| 6 mo | 0.105 (−0.107 to 0.316) | .332 | 65.5 | |
| ≥1 y | 0.516 (0.284 to 0.747) | <.001 | 55.4 | |
| Literature quality | ||||
| High quality | 0.641 (0.045 to 1.237) | .035 | 98.1 | |
| Low quality | 1.116 (0.233 to 1.999) | .013 | 96.6 | |
| Blinding of outcome assessment | ||||
| Yes | 1.191 (−0.172 to 2.554) | .087 | 98.8 | |
| No | 0.439 (0.132 to 0.746) | .005 | 94.2 | |
| FT3, pmol/L (8) | ||||
| −1.388 (−2.543 to −0.233) | .019 | 97.7 | ||
| Sensitivity | −1.388 (−2.543 to −0.233) | |||
| Study time | ||||
| 3 mo | −1.133 (−3.094 to 0.828) | .258 | 97.8 | |
| 6 mo | −1.532 (−4.609 to 1.545) | .329 | 99.2 | |
| 1 y | −1.767 (−2.992 to −0.542) | .005 | 92.1 | |
| Literature quality | ||||
| High quality | −1.077 (−2.537 to 0.384) | .149 | 98.1 | |
| Low quality | −2.311 (−2.667 to −1.955) | <.001 | 0.0 | |
| Blinding of outcome assessment | ||||
| Yes | −2.791 (−3.351 to −2.230) | <.001 | 56.3 | |
| No | −0.618 (−1.851 to 0.614) | .326 | 97.2 | |
| FT4, pmol/L (9) | ||||
| −3.613 (−5.972 to −1.255) | .003 | 98.6 | ||
| Sensitivity | −3.613 (−5.972 to −1.255) | |||
| Study time | ||||
| 3 months | −3.254 (−6.664 to 0.156) | .061 | 98.5 | |
| 6 mo | −3.590 (−10.116 to 2.937) | .281 | 98.3 | |
| 1 y | −4.573 (−7.442 to −1.704) | .002 | 91.2 | |
| Literature quality | ||||
| High quality | −3.979 (−8.071 to 0.114) | .057 | 98.8 | |
| Low quality | −3.388 (−8.600 to 1.823) | .203 | 98.0 | |
| Blinding of outcome assessment | ||||
| Yes | −1.807 (−4.280 to 0.0.665) | .152 | 98.2 | |
| No | −6.759 (−7.448 to −6.071) | <.001 | 0.0 | |
| TRAb, U/L (3) | ||||
| −12.398 (−28.085 to 3.288) | .121 | 97.2 | ||
| Sensitivity | −12.398 (−28.085 to 3.288) | |||
| TPOAb, IU/mL (2) | ||||
| 11.540 (−5.873 to 28.952) | .194 | 0.0 | ||
| Sensitivity | 11.540 (−5.873 to 28.952) | |||
| Liver function indexes | ALP, U/L (4) | |||
| −4.708 (−19.606 to 10.189) | .536 | 96.8 | ||
| Sensitivity | −4.708 (−19.606 to 10.189) | |||
| ALT, U/L (4) | ||||
| −1.786 (−8.078 to 4.506) | .578 | 98.2 | ||
| Sensitivity | −1.786 (−8.078 to 4.506) | |||
| AST, U/L (4) | ||||
| −2.149 (−10.750 to 6.453) | .624 | 98.4 | ||
| Sensitivity | −2.149 (−10.750 to 6.453) | |||
| Clinical efficacy | Effective rate (2) | |||
| 0.427 (0.021 to 8.638) | .579 | 67.6 | ||
| Sensitivity | 0.427 (0.021 to 8.638) | |||
| Drug withdrawal rate (2) | ||||
| 1.135 (0.516 to 2.498) | .753 | 66.8 | ||
| Sensitivity | 1.135 (0.516 to 2.498) | |||
| Adverse reactions | Hypothyroidism (6) | |||
| 2.738 (1.444 to 5.193) | .002 | 26.5 | ||
| Sensitivity | 2.738 (1.444 to 5.193) | |||
| Liver function damage (9) | ||||
| 0.208 (0.146 to 0.296) | <.001 | 19.3 | ||
| Sensitivity | 0.208 (0.146 to 0.296) | |||
| Rash (8) | ||||
| 1.419 (0.980 to 2.056) | .064 | 0.0 | ||
| Sensitivity | 1.419 (0.980 to 2.056) | |||
| Pruritus (3) | ||||
| 0.247 (0.099 to 1.220) | .099 | 0.0 | ||
| Sensitivity | 0.247 (0.099 to 1.220) | |||
| Leukocytopenia (5) | ||||
| 0.887 (0.487 to 1.615) | .696 | 13.7 | ||
| Sensitivity | 0.887 (0.487 to 1.615) | |||
| Recurrence | (2) | |||
| 0.420 (0.061 to 2.904) | .379 | 0.0 | ||
| Sensitivity | 0.420 (0.061 to 2.904) |
Figure 2Forest plot for effective rate (A) and drug withdrawal rate (B).
Figure 3Forest plot for T3 level (A), length of study (B) and literature quality (C).
Figure 3 (Continued)Forest plot for T3 level (A), length of study (B) and literature quality (C).
Figure 4Forest plot for T4 level (A), length of study (B) and literature quality (C).
Figure 4 (Continued)Forest plot for T4 level (A), length of study (B) and literature quality (C).
Figure 5Forest plot for TSH level (A), length of study (B) and literature quality (C).
Figure 5 (Continued)Forest plot for TSH level (A), length of study (B) and literature quality (C).
Figure 6Forest plot for FT3 level (A), length of study (B) and literature quality (C).
Figure 6 (Continued)Forest plot for FT3 level (A), length of study (B) and literature quality (C).
Figure 7Forest plot for FT4 level (A), length of study (B) and literature quality (C).
Figure 7 (Continued)Forest plot for FT4 level (A), length of study (B) and literature quality (C).
Figure 8Forest plot for TRAb level.
Figure 9Forest plot for TPOAb level.
Figure 10Forest plot for ALP level.
Figure 11Forest plot for ALT level.
Figure 12Forest plot for AST level.
Figure 13Forest plot for the risk of hypothyroidism.