BACKGROUND: The muscular dystrophies are a heterogeneous group of genetic muscle diseases with variable distribution of weakness and mode of inheritance. METHODS: We previously performed a systematic review of worldwide population-based studies on Duchenne and Becker muscular dystrophies; the current study focused on the epidemiology of other muscular dystrophies using Medline and EMBASE databases. Two reviewers independently reviewed all abstracts, full-text articles, and abstracted data from 1985 to 2011. Pooling of prevalence estimates was performed using random-effect models. RESULTS: A total of 1104 abstracts and 167 full-text articles were reviewed. Thirty-one studies met all eligibility criteria and were included in the final analysis. The overall pooled prevalence of combined muscular dystrophies was 16.14 (confidence interval [CI], 11.21-23.23) per 100,000. The prevalence estimates per 100,000 were 8.26 (CI, 4.99-13.68) for myotonic dystrophy, 3.95 (CI, 2.89-5.40) for facioscapulohumeral dystrophy, 1.63 (CI, 0.94-2.81) for limb girdle muscular dystrophy, and 0.99 (CI, 0.62-1.57) for congenital muscular dystrophies. CONCLUSIONS: The studies differed widely in their approaches to case ascertainment, and substantial gaps remain in the global estimates of many other types of muscular dystrophies. Additional epidemiological studies using standardized diagnostic criteria as well as multiple sources of case ascertainment will help address the economic impact and health care burden of muscular dystrophies worldwide.
BACKGROUND: The muscular dystrophies are a heterogeneous group of genetic muscle diseases with variable distribution of weakness and mode of inheritance. METHODS: We previously performed a systematic review of worldwide population-based studies on Duchenne and Becker muscular dystrophies; the current study focused on the epidemiology of other muscular dystrophies using Medline and EMBASE databases. Two reviewers independently reviewed all abstracts, full-text articles, and abstracted data from 1985 to 2011. Pooling of prevalence estimates was performed using random-effect models. RESULTS: A total of 1104 abstracts and 167 full-text articles were reviewed. Thirty-one studies met all eligibility criteria and were included in the final analysis. The overall pooled prevalence of combined muscular dystrophies was 16.14 (confidence interval [CI], 11.21-23.23) per 100,000. The prevalence estimates per 100,000 were 8.26 (CI, 4.99-13.68) for myotonic dystrophy, 3.95 (CI, 2.89-5.40) for facioscapulohumeral dystrophy, 1.63 (CI, 0.94-2.81) for limb girdle muscular dystrophy, and 0.99 (CI, 0.62-1.57) for congenital muscular dystrophies. CONCLUSIONS: The studies differed widely in their approaches to case ascertainment, and substantial gaps remain in the global estimates of many other types of muscular dystrophies. Additional epidemiological studies using standardized diagnostic criteria as well as multiple sources of case ascertainment will help address the economic impact and health care burden of muscular dystrophies worldwide.
Authors: Susan A Elmore; Famke Aeffner; Dinesh S Bangari; Torrie A Crabbs; Stacey Fossey; Shayne C Gad; Wanda M Haschek; Jessica S Hoane; Kyathanahalli Janardhan; Ramesh C Kovi; Gail Pearse; Lyn M Wancket; Erin M Quist Journal: Toxicol Pathol Date: 2017-11-07 Impact factor: 1.902
Authors: Kristin Wilson; Crystal Faelan; Janet C Patterson-Kane; Daniel G Rudmann; Steven A Moore; Diane Frank; Jay Charleston; Jon Tinsley; G David Young; Anthony J Milici Journal: Toxicol Pathol Date: 2017-10-03 Impact factor: 1.902
Authors: Famke Aeffner; Crystal Faelan; Steven A Moore; Alexander Moody; Joshua C Black; Jay S Charleston; Diane E Frank; Johannes Dworzak; J Kris Piper; Manish Ranjitkar; Kristin Wilson; Suzanne Kanaly; Daniel G Rudmann; Holger Lange; G David Young; Anthony J Milici Journal: Arch Pathol Lab Med Date: 2018-08-31 Impact factor: 5.534
Authors: David Flores; María P Ribate; Marisol Montolio; Feliciano J Ramos; Manuel Gómez; Cristina B García Journal: Eur J Health Econ Date: 2020-05-12
Authors: Dimitra G Georganopoulou; Vasilis G Moisiadis; Firhan A Malik; Ali Mohajer; Tanya M Dashevsky; Shirley T Wuu; Chih-Kao Hu Journal: Protein J Date: 2021-06-10 Impact factor: 2.371