Evidence map›Paper›PMID 32503598›Full record

SynthesisOrphanet journal of rare diseases2020

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

Salvatore Crisafulli, Janet Sultana, Andrea Fontana, Francesco Salvo, Sonia Messina, Gianluca Trifirò

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Orphanet journal of rare diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 279 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
279citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

279 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. Meta-analysis of the efficacy and safety of vamorolone in Duchenne muscular dystrophy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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219 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Salvatore CrisafulliDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of Messina, Building G, 1, Via Consolare Valeria, 98125, Messina, Italy.ORCID 0000-0001-9622-169X
Janet SultanaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of Messina, Building G, 1, Via Consolare Valeria, 98125, Messina, Italy.
Andrea FontanaUnit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Francesco SalvoInserm UMR 1219, Pharmacoepidemiology Team, Université de Bordeaux, Bordeaux, France.
Sonia MessinaDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Gianluca TrifiròDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, G. Martino Hospital/University of Messina, Building G, 1, Via Consolare Valeria, 98125, Messina, Italy. trifirog@unime.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuchenne 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.

methodsMEDLINE 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 I

resultsA 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 (I

conclusionsGenerating 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.

Indexed as

Muscular Dystrophy, DuchenneHumansIncidenceMaleObservational Studies as TopicPrevalenceRare DiseasesBirth prevalenceDuchenne muscular dystrophyEpidemiologyMeta-analysisPrevalenceSystematic review

Identifiers

PMID32503598
PMCPMC7275323

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.