Evidence map›Paper›PMID 40974394›Full record

ArticlePharmaceutical medicine2025

The Utilization, Reimbursement, and Cost of Targeted Therapies for Duchenne Muscular Dystrophy (DMD) in US Medicaid Programs: A Descriptive Trend Analysis from 2017 to 2022.

Yazeed Ghawaa, Alex C Lin, Jeff Jianfei Guo

Abstract read
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Article in Pharmaceutical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yazeed GhawaaDivision of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, 3225 Eden Ave, Cincinnati, OH, 45267-0004, USA. ghawaayd@mail.uc.edu.ORCID 0009-0000-1771-506X
Alex C LinDivision of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, 3225 Eden Ave, Cincinnati, OH, 45267-0004, USA.
Jeff Jianfei GuoDivision of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, 3225 Eden Ave, Cincinnati, OH, 45267-0004, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuchenne muscular dystrophy (DMD) is a rare hereditary neuromuscular disorder caused by mutations in the dystrophin gene, leading to progressive muscle deterioration, loss of ambulation, and reduced life expectancy. The US Food and Drug Administration (FDA) has approved several novel drugs for DMD; however, their utilization, reimbursement, and cost patterns within US Medicaid programs remain unexamined.

objectivesThe purpose of this study was to evaluate the utilization, reimbursement, and cost trends of targeted therapies for DMD in the US Medicaid population from 2017 to 2022.

methodsA retrospective descriptive drug utilization study was conducted using the national Medicaid drug utilization files that were extracted from the Centers for Medicare and Medicaid Services (CMS) from 2017 to 2022. The study drugs comprised the following four FDA-approved drugs: eteplirsen (Exondys 51

resultsOver the 6-year period, the total count of DMD prescriptions increased significantly by 2988%, from 643 prescriptions in 2017, when only eteplirsen (Exondys 51

conclusionThe considerable rise in the utilization and spending of novel DMD drugs has imposed a significant burden on the Medicaid budget, underlining the need for policy measures to manage rising costs and maintain equal access to treatment.

Indexed as

Drug CostsDrug UtilizationInsurance, Health, ReimbursementMedicaidMuscular Dystrophy, DuchenneHumansMorpholinosPattern Analysis, MachineRetrospective StudiesUnited StateseteplirsenMorpholinos

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.