Evidence map›Paper›PMID 35359537›Full record

ArticleAnnals of Indian Academy of Neurology

Duchenne Muscular Dystrophy: Genetic and Clinical Profile in the Population of Rajasthan, India.

Manisha Goyal, Ashok Gupta, Kamlesh Agarwal, Seema Kapoor, Somesh Kumar

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Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

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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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Manisha GoyalDepartment of Pediatrics, SMS Medical College, Jaipur, Rajasthan, India.
Ashok GuptaDepartment of Pediatrics, SMS Medical College, Jaipur, Rajasthan, India.
Kamlesh AgarwalDepartment of Pediatrics, SMS Medical College, Jaipur, Rajasthan, India.
Seema KapoorDivision of Genetics, Department of Pediatrics, Maulana Azad Medical College, New Delhi, India.
Somesh KumarDivision of Genetics, Department of Pediatrics, Maulana Azad Medical College, New Delhi, India.
Sawai ManSingh Medical College and Hospital · INMaulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Duchenne Muscular Dystrophy (DMD) is an X-linked recessive muscular dystrophy that affects young boys and is caused by mutation of the dystrophin gene located over X chromosome. Materials and Methods: In this prospective study, 120 clinically diagnosed DMD patients were tested for exon deletions, duplication or point mutation. Results: Of the 120 clinically suspected DMD patients, the diagnosis of DMD was confirmed by the genetic study or muscle biopsy in 116 patients. The mean age of onset was 3.2 years and the mean age at presentation was 7.2 years. 110/120 cases were confirmed by genetic testing and six were by absence of staining for dystrophin on muscle biopsy. DMD gene deletion was present in 78.5%, duplication in 5.3% and point mutation in 11.2% cases. 70.3% of patients had deletion located at a distal hot spot region. Single exon deletion was found in 16.5%. Distal hotspot exons 47, 48 and 50 were the commonly deleted exons. Conclusions: In our study, 94.8% cases showed genetic change in the DMD gene. Muscle biopsy was the choice of investigation in earlier days. Detection of DMD by DNA based method eliminates the need to do an invasive procedure for diagnosis. Hence the genetic testing should be the investigation of choice in suspected cases of DMD. The pattern of deletion, obtained in the population of Rajasthan was similar when compared with other ethnic groups of the Indian population. It would be helpful for researchers to develop drugs specific to exons or for ongoing mutation-specific therapies.

Indexed as

DeletionDuchenne muscular dystrophydystrophin genemuscular dystrophy

Identifiers

PMID35359537
PMCPMC8965960
OpenAlexW3195621695

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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.