Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis

Abstract Background Duchenne Muscular Dystrophy (DMD) is a rare disorder caused by mutations in the dystrophin gene. A recent systematic review and meta-analysis of global DMD epidemiology is not available. This study aimed to estimate the global overall and birth prevalence of DMD through an update...

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Main Authors: Salvatore Crisafulli, Janet Sultana, Andrea Fontana, Francesco Salvo, Sonia Messina, Gianluca Trifirò
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Orphanet Journal of Rare Diseases
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13023-020-01430-8
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spelling doaj-8e42e8a779ee431784fb13880fedf7572020-11-25T03:19:52ZengBMCOrphanet Journal of Rare Diseases1750-11722020-06-0115112010.1186/s13023-020-01430-8Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysisSalvatore Crisafulli0Janet Sultana1Andrea Fontana2Francesco Salvo3Sonia Messina4Gianluca Trifirò5Department of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of MessinaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of MessinaUnit of Biostatistics, Fondazione IRCCS Casa Sollievo della SofferenzaInserm UMR 1219, Pharmacoepidemiology Team, Université de BordeauxDepartment of Clinical and Experimental Medicine, University of MessinaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of MessinaAbstract Background Duchenne Muscular Dystrophy (DMD) is a rare disorder caused by mutations in the dystrophin gene. A recent systematic review and meta-analysis of global DMD epidemiology is not available. This study aimed to estimate the global overall and birth prevalence of DMD through an updated systematic review of the literature. Methods MEDLINE and EMBASE databases were searched for original research articles on the epidemiology of DMD from inception until 1st October 2019. Studies were included if they were original observational research articles written in English, reporting DMD prevalence and/or incidence along with the number of individuals of the underlying population. The quality of the studies was assessed using a STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist adapted for observational studies on rare diseases. To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using random-effects logistic models for overall and birth prevalence and within two different underlying populations (i.e. all individuals and in males only), separately. Heterogeneity was assessed using Cochran’s Q-test along with its derived measure of inconsistency I2. Results A total of 44 studies reporting the global epidemiology of DMD were included in the systematic review and only 40 were included in the meta-analysis. The pooled global DMD prevalence was 7.1 cases (95% CI: 5.0–10.1) per 100,000 males and 2.8 cases (95% CI: 1.6–4.6) per 100,000 in the general population, while the pooled global DMD birth prevalence was 19.8 (95% CI:16.6–23.6) per 100,000 live male births. A very high between-study heterogeneity was found for each epidemiological outcome and for all underlying populations (I2 > 90%). The test for funnel plot asymmetry suggested the absence of publication bias. Of the 44 studies included in this systematic review, 36 (81.8%) were assessed as being of medium and 8 (18.2%) of low quality, while no study was assessed as being of high quality. Conclusions Generating epidemiological evidence on DMD is fundamental to support public health decision-making. The high heterogeneity and the lack of high quality studies highlights the need to conduct better quality studies on rare diseases.http://link.springer.com/article/10.1186/s13023-020-01430-8Duchenne muscular dystrophyEpidemiologyPrevalenceBirth prevalenceSystematic reviewMeta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Salvatore Crisafulli
Janet Sultana
Andrea Fontana
Francesco Salvo
Sonia Messina
Gianluca Trifirò
spellingShingle Salvatore Crisafulli
Janet Sultana
Andrea Fontana
Francesco Salvo
Sonia Messina
Gianluca Trifirò
Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
Orphanet Journal of Rare Diseases
Duchenne muscular dystrophy
Epidemiology
Prevalence
Birth prevalence
Systematic review
Meta-analysis
author_facet Salvatore Crisafulli
Janet Sultana
Andrea Fontana
Francesco Salvo
Sonia Messina
Gianluca Trifirò
author_sort Salvatore Crisafulli
title Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
title_short Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
title_full Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
title_fullStr Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
title_full_unstemmed Global epidemiology of Duchenne muscular dystrophy: an updated systematic review and meta-analysis
title_sort global epidemiology of duchenne muscular dystrophy: an updated systematic review and meta-analysis
publisher BMC
series Orphanet Journal of Rare Diseases
issn 1750-1172
publishDate 2020-06-01
description Abstract Background Duchenne Muscular Dystrophy (DMD) is a rare disorder caused by mutations in the dystrophin gene. A recent systematic review and meta-analysis of global DMD epidemiology is not available. This study aimed to estimate the global overall and birth prevalence of DMD through an updated systematic review of the literature. Methods MEDLINE and EMBASE databases were searched for original research articles on the epidemiology of DMD from inception until 1st October 2019. Studies were included if they were original observational research articles written in English, reporting DMD prevalence and/or incidence along with the number of individuals of the underlying population. The quality of the studies was assessed using a STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist adapted for observational studies on rare diseases. To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using random-effects logistic models for overall and birth prevalence and within two different underlying populations (i.e. all individuals and in males only), separately. Heterogeneity was assessed using Cochran’s Q-test along with its derived measure of inconsistency I2. Results A total of 44 studies reporting the global epidemiology of DMD were included in the systematic review and only 40 were included in the meta-analysis. The pooled global DMD prevalence was 7.1 cases (95% CI: 5.0–10.1) per 100,000 males and 2.8 cases (95% CI: 1.6–4.6) per 100,000 in the general population, while the pooled global DMD birth prevalence was 19.8 (95% CI:16.6–23.6) per 100,000 live male births. A very high between-study heterogeneity was found for each epidemiological outcome and for all underlying populations (I2 > 90%). The test for funnel plot asymmetry suggested the absence of publication bias. Of the 44 studies included in this systematic review, 36 (81.8%) were assessed as being of medium and 8 (18.2%) of low quality, while no study was assessed as being of high quality. Conclusions Generating epidemiological evidence on DMD is fundamental to support public health decision-making. The high heterogeneity and the lack of high quality studies highlights the need to conduct better quality studies on rare diseases.
topic Duchenne muscular dystrophy
Epidemiology
Prevalence
Birth prevalence
Systematic review
Meta-analysis
url http://link.springer.com/article/10.1186/s13023-020-01430-8
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