Evidence map›Paper›PMID 40548338›Full record

ArticlePharmacogenomics and personalized medicine2025

Molecular Genetic Analysis of a

Qianwen Chen, Wenjuan Zhang, Lingfeng Zha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Qianwen Chen *Department of Pediatric Cardiology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, People's Republic of China.
Wenjuan Zhang *Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Lingfeng ZhaDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID 0000-0003-3891-7407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is an X-linked recessive neuromuscular disease that is characterized by progressive proximal muscle weakness and pseudohypertrophy. Currently, genetic diagnosis of DMD relies largely on multiplex ligation-dependent probe analysis (MLPA) and Sanger sequencing to identify pathogenic mutations. This study aimed to confirm the genetic etiology of a boy presenting with clinical manifestations that are highly indicative of DMD. A 14-year-old boy with heart failure and extreme muscle weakness along with his family members was recruited for this study. DNA from each participant was isolated from peripheral blood samples. We used MLPA to detect the deletion or duplication mutations of the

Indexed as

DMDexon skippingMLPApersonalized therapySanger

Identifiers

PMID40548338
PMCPMC12182250

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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.