Evidence map›Paper›PMID 41727807›Full record

ArticleJournal of health economics and outcomes research2026

The Paradox of Life Extension with Traditional Cost-Effectiveness Analysis: A Case Study with Duchenne Muscular Dystrophy.

Lauren Sedita, Alexa Klimchak, Eleanor Perfetto, Katherine Gooch, Daniel C Malone

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Article in Journal of health economics and outcomes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lauren SeditaSarepta Therapeutics, Cambridge, Massachusetts.
Alexa KlimchakSarepta Therapeutics, Cambridge, Massachusetts.
Eleanor PerfettoUniversity of Maryland, Baltimore.
Katherine GoochSarepta Therapeutics, Cambridge, Massachusetts.
Daniel C MaloneCollege of Pharmacy, University of Utah, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional quality-adjusted life-year (QALY)-based cost-effectiveness analyses (CEAs) may inadvertently penalize treatments extending survival in populations with disabilities. Duchenne muscular dystrophy (DMD) is a rare, progressive disease diagnosed during childhood with significant morbidity, premature mortality, and considerable healthcare costs. The impact of delaying mortality on CEAs for DMD is unclear. Objective: To evaluate the impact of delaying nonfatal progression and/or mortality using a QALY-based CEA for three hypothetical DMD treatments, assessing if treatment value increases by delaying morbidity and/or mortality. Methods: A previously published, five-state QALY-based cost-effectiveness model for analyzing treatments in an early ambulatory DMD population was replicated, validated, and adapted to include an early nonambulatory (ENA) population. Maximum annual treatment price was determined for three hypothetical treatments individually compared for each population with standard of care (SoC): (A) delays nonfatal progression and mortality; (B) delays nonfatal progression; or (C) delays mortality. A 10-year delay was assessed for all three. Willingness-to-pay (WTP) thresholds ranged from Results: In both populations, QALYs gained vs SoC were highest for the hypothetical treatment delaying both nonfatal progression and mortality. Maximum annual treatment price was highest for the hypothetical treatment delaying nonfatal progression only (both populations and all WTP thresholds). Delaying mortality alone consistently had a negative annual valuation (not cost-effective even at Discussion: These model results illustrate that delaying both nonfatal progression and mortality is less valuable in a traditional CEA than delaying nonfatal progression alone, even when the additional survival is at the patient's best possible health and lowest costs. These results emphasize the significant shortcomings of QALY-based CEAs for assessing the value of potential life-extending treatments for progressive, disabling diseases, like DMD. Conclusions: These results suggest that within a traditional CEA, delaying mortality decreases a DMD treatment's value estimate, countering society's values and norms for desired life extension in vulnerable populations. These limitations must be carefully considered when interpreting model results and highlight the need for applying other value assessment methodologies.

Indexed as

cost-effectiveness analysisDuchenne muscular dystrophyprogressionquality-adjusted life-yearsutility

Identifiers

PMID41727807
PMCPMC12922800

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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.