This article is a correction to:
A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy
Kun Huang
Fang-Fang Bi
Huan Yang- 1Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- 2Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, China
A Corrigendum on
A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy
by Huang, K., Bi, F.-F., and Yang, H. (2021). Front. Neurol. 12:761636. doi: 10.3389/fneur.2021.761636
In the original article, there was an error. In the Abstract there was a mistake in the statement of the results of the pooled prevalence of congenital myopathy in the all-age population. Instead of “The pooled prevalence of congenital myopathy in the all-age population was 1.50 (95% CI, 0.93–2.06) per 100,000, while the prevalence in the child population was 2.73 (95% CI, 1.34–4.12) per 100,000”, it should be “The pooled prevalence of congenital myopathy in the all-age population was 1.62 (95% CI, 1.13–2.11) per 100,000, while the prevalence in the child population was 2.76 (95% CI, 1.34–4.18) per 100,000.”
A correction has been made to Abstract, Results, Paragraph 1:
Results: A total of 11 studies were included in the systematic review and meta-analysis. Of the 11 studies included, 10 (90.9%) were considered medium-quality, one (9.1%) was considered low-quality, and no study was assessed as having a high overall quality. The pooled prevalence of congenital myopathy in the all-age population was 1.62 (95% CI, 1.13–2.11) per 100,000, while the prevalence in the child population was 2.76 (95% CI, 1.34–4.18) per 100,000. In the pediatric population, the prevalence among males was 2.92 (95% CI, −1.70 to 7.55) per 100,000, while the prevalence among females was 2.47 (95% CI, −1.67 to 6.61) per 100,000. The prevalence estimates of the all-age population per 100,000 were 0.20 (95% CI 0.10–0.35) for nemaline myopathy, 0.37 (95% CI 0.21–0.53) for core myopathy, 0.08 (95% CI −0.01 to 0.18) for centronuclear myopathy, 0.23 (95% CI 0.04–0.42) for congenital fiber-type disproportion myopathy, and 0.34 (95% CI, 0.24–0.44) for unspecified congenital myopathies. In addition, the prevalence estimates of the pediatric population per 100,000 were 0.22 (95% CI 0.03–0.40) for nemaline myopathy, 0.46 (95% CI 0.03–0.90) for core myopathy, 0.44 (95% CI 0.03–0.84) for centronuclear myopathy, 0.25 (95% CI −0.05 to 0.54) for congenital fiber-type disproportion myopathy, and 2.63 (95% CI 1.64–3.62) for unspecified congenital myopathies.
In the original article, there was a mistake in Table 1 as published. The number of cases in the reference Norwood et al. should be 41, not 18. The corrected Table 1 appears below.
TABLE 1
Table 1. Characteristics of the included studies on congenital myopathy prevalence.
The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: prevalence, congenital myopathy, nemaline myopathy, core myopathy, centronuclear myopathy, congenital fiber-type disproportion myopathy
Citation: Huang K, Bi F-F and Yang H (2022) Corrigendum: A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy. Front. Neurol. 13:857959. doi: 10.3389/fneur.2022.857959
Received: 19 January 2022; Accepted: 19 January 2022;
Published: 14 February 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Huang, Bi and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Fang-Fang Bi, ZmFuZ2ZhbmdiaSYjeDAwMDQwO2NzdS5lZHUuY24=; Huan Yang, eWFuZ2g2OSYjeDAwMDQwOzEyNi5jb20=