Evidence map›Paper›PMID 41350752›Full record

SynthesisOrphanet journal of rare diseases2025

Economic evaluations of disease-modifying therapies for spinal muscular atrophy: a systematic literature review.

Mehdi Yousefi, Amin Mehrabian, Anna Brown, Furqan Butt, Jeremiah Donoghue, Janette Parr, Mubarak Patel, Amy Grove, Jo Parsons, Peter Auguste

Abstract readSystematic Review
In one paragraph

Synthesis in Orphanet journal of rare diseases, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Mehdi YousefiCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Amin MehrabianCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Anna BrownCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Furqan ButtCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Jeremiah DonoghueCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Janette ParrCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Mubarak PatelCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Amy GroveCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Jo ParsonsCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK.
Peter AugusteCentre for Evidence and Implementation Science, Health Services Management Centre, School of Social Policy and Society, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, UK. p.e.auguste.1@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal muscular atrophy (SMA) is a rare, life-limiting neuromuscular disorder characterised by progressive motor neuron degeneration. The recent emergence of disease-modifying therapies (DMTs), nusinersen, onasemnogene abeparvovec, and risdiplam, has revolutionised SMA care but presents economic challenges due to high treatment costs and limited long-term evidence.

objectiveTo review and critically appraise economic evaluations that assessed the cost-effectiveness of DMTs in people living with SMA.

methodsA systematic literature review was conducted following Cochrane and PRISMA guidelines. Initial searches were conducted in January 2024 and updated in February 2025. Searches were carried out in key biomedical and economic databases, as well as grey literature. Two reviewers independently screened the titles and abstracts of all identified records, as well as the full texts of potentially relevant studies. Data extraction and quality appraisal employed established tools, including the CHEERS and Philips checklists. The conduct and findings of included studies were summarised and discussed narratively.

resultsOf 1,984 records, 21 studies met the inclusion criteria. All studies used Markov modelling approaches, varying by SMA type, time horizon (often lifetime), and assumptions around sustained treatment benefits. Key drivers of cost-effectiveness included treatment costs, health-state utility values (frequently based on expert opinion), and survival modelling. Heterogeneity was noted in health technology definitions, utility measurement, and data sources. Limitations across studies included reliance on short-term clinical data, inconsistent assumptions, and limited of transparency in modelling practices. Sensitivity analyses were inconsistently applied, limiting robustness of the findings reported in each study.

conclusionsThe economic evaluation landscape for SMA treatments is evolving. However, challenges remain due to data gaps and methodological variability across studies. Future research should prioritise the integration of long-term real-world data into economic evaluations, consider the development of patient- and caregiver-derived utility values, and the use of transparent, standardised modelling approaches. These improvements will enhance the robustness, comparability, and policy relevance of economic evaluations in rare disease treatment funding.

Indexed as

Muscular Atrophy, SpinalCost-Benefit AnalysisHumansOligonucleotidesnusinersenOligonucleotidesCost-effectivenessEconomic evaluationHealth technology assessmentOrphan diseasesRare diseasesSpinal muscular atrophySystematic review

Identifiers

PMID41350752
PMCPMC12797846

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.