Evidence map›Paper›PMID 39182149›Full record

ArticleOrphanet journal of rare diseases2024

Comprehensive analysis of 2097 patients with dystrophinopathy based on a database from 2011 to 2021.

Lei Zhao, Yiyun Shi, Chaoping Hu, Shuizhen Zhou, Hui Li, Lifeng Zhang, Chuang Qian, Yiyao Zhou, Yi Wang, Xihua Li

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Lei ZhaoDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China.
Yiyun ShiDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China.
Chaoping HuDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China.
Shuizhen ZhouDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China.
Hui LiDepartment of Rehabilitation, Children's Hospital of Fudan University, Shanghai, China.
Lifeng ZhangPediatric Heart Center, Children's Hospital of Fudan University, Shanghai, China.
Chuang QianDepartment of Orthopedics, Children's Hospital of Fudan University, Shanghai, China.
Yiyao ZhouDepartment of Clinical Nutrition, Children's Hospital of Fudan University, Shanghai, China.
Yi WangDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China. yiwang@shmu.edu.cn.
Xihua LiDepartment of Neurology, Children's Hospital of Fudan University, No.399, Wanyuan Road, Minhang District, Shanghai, 201102, China. xihual@vip.sina.com.ORCID 0000-0002-3957-0110

Funding

the National Key Research and Development Program of China 2022YFC2703600
6 · The paper itself

Abstract

backgroundAn increasing number of clinical trials for new therapeutic strategies are underway or being considered for dystrophinopathy. Having detailed data on the natural progression of this condition is crucial for assessing the effectiveness of new drugs. However, there's a lack of data regarding the long-term data on the natural course and how it's managed in China. In this study, we offer a comprehensive overview of clinical and molecular findings, as well as treatment outcomes in the Chinese population.

methodsInstitutional data on all patients with dystrophinopathy from August 2011 to August 2021 were retrospectively reviewed. The data included geographic distribution, age at diagnosis, molecular findings, and treatment options, such as corticosteroids, cardiac interventions, and clinical outcomes.

resultsIn total, 2097 patients with dystrophinopathy, including 1703 cases of Duchenne muscular dystrophy (DMD), 311 cases of Becker muscular dystrophy (BMD), 46 cases of intermediate muscular dystrophy (IMD), and 37 cases categorized as "pending" (individuals with an undetermined phenotype), were registered in the Children's Hospital of Fudan University database for dystrophinopathy from August 2011 to August 2021. The spectrum of identified variants included exonic deletions (66.6%), exonic duplications (10.7%), nonsense variants (10.3%), splice-site variants (4.5%), small deletions (3.5%), small insertions/duplications (1.8%), and missense variants (0.9%). Four deep intronic variants and two inversion variants were identified. Regarding treatment, glucocorticoids were administered to 54.4% of DMD patients and 39.1% of IMD patients. The median age at loss of ambulation was 2.5 years later in DMD patients who received glucocorticoid treatment. Overall, one cardiac medicine at least was prescribed to 7.4% of DMD patients, 8.3% of IMD patients, and 2.6% of BMD patients. Additionally, ventilator support was required by four DMD patients. Eligibility for exon skipping therapy was found in 55.3% of DMD patients, with 12.9%, 10%, and 9.6% of these patients being eligible for skipping exons 51, 53, and 45, respectively.

conclusionsThis is one of the largest studies to have evaluated the natural history of dystrophinopathy in China, which is particularly conducive to the recruitment of eligible patients for clinical trials and the provision of real-world data to support drug development.

Indexed as

Muscular Dystrophy, DuchenneAdolescentChildChild, PreschoolChinaDatabases, FactualDystrophinFemaleHumansInfantMaleMuscular DystrophiesRetrospective StudiesYoung AdultDystrophinDuchenne and Becker muscular dystrophiesDystrophinopathyGenetic diagnosisNatural historyPatient management

Identifiers

PMID39182149
PMCPMC11344408

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LicenceCC BY
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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.