Evidence map›Paper›PMID 39363355›Full record

ArticleOrphanet journal of rare diseases2024

Different diseases, different needs: Patient preferences for gene therapy in lysosomal storage disorders, a probabilistic threshold technique survey.

Eleonore M Corazolla, Eline C B Eskes, Jorien Veldwijk, Marion M M G Brands, Hanka Dekker, Erica van de Mheen, Mirjam Langeveld, Carla E M Hollak, Barbara Sjouke

Abstract read
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Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

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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

9 authors.

Eleonore M CorazollaDepartment of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Eline C B EskesDepartment of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Jorien VeldwijkErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Marion M M G BrandsInborn Errors of Metabolism, Research Institute of Amsterdam Gastroenterology Endocrinology and Metabolism, Meibergdreef 9, Amsterdam, The Netherlands.
Hanka DekkerThe Dutch Patient Association for Inherited Metabolic Diseases (VKS), Zwolle, The Netherlands.
Erica van de MheenFabry Support and Information Group the Netherlands (FSIGN), Drachten, The Netherlands.
Mirjam LangeveldDepartment of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Carla E M HollakDepartment of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Barbara SjoukeInborn Errors of Metabolism, Research Institute of Amsterdam Gastroenterology Endocrinology and Metabolism, Meibergdreef 9, Amsterdam, The Netherlands. barbara.sjouke@radboudumc.nl.ORCID 0000-0001-8162-9684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene therapy is currently in development for several monogenetic diseases including lysosomal storage disorders. Limited evidence is available on patient preferences for gene therapy in this population. In this study, we compare gene therapy-related risk tolerance between people affected by three lysosomal storage diseases currently faced with different therapeutic options and prognoses.

methodsA survey including the probabilistic threshold technique was developed in which respondents were asked to choose between gene therapy and the current standard of care. The attributes included to establish participants' risk tolerance were previously identified in focus groups of affected people or their representatives, namely: risk of mild side effects, severe side effects, the need for additional medication, and the likelihood of long-term effectiveness. The survey was distributed among people receiving outpatient care for type 1 Gaucher disease (good prognosis with current treatment options), Fabry disease (varying prognosis with current treatment options, XY-genotype on average more severely affected than XX), and parents representing people with severe forms of mucopolysaccharidosis type III A/B (poor prognosis, no disease-specific therapy available).

resultsA total of 85 surveys were completed (15 Gaucher disease respondents, 62 Fabry disease respondents (17 self-identifying male), eight parents of ten people with mucopolysaccharidosis type III). Disease groups with higher disease severity trended towards higher risk tolerance: Gaucher disease respondents were most cautious and predominantly preferred the current standard of care as opposed to MPS III representatives who were more risk tolerant. Respondents with Fabry disease were most heterogeneous in their risk tolerance, with male participants being more risk tolerant than female participants. Long-term effectiveness was the attribute in which respondents tolerated the least risk.

conclusionsPeople affected by a lysosomal storage disease associated with a poorer prognosis and less effective current treatment options trended towards more risk tolerance when choosing between gene therapy and the current standard of care. This study shows the importance of involvement of patient preferences before and during the development process of new treatment modalities such as gene therapy for rare diseases, to ensure that innovative therapies align with the wishes and needs of people affected by these diseases.

Indexed as

Genetic TherapyLysosomal Storage DiseasesPatient PreferenceAdultFabry DiseaseFemaleGaucher DiseaseHumansMaleSurveys and QuestionnairesFabry diseaseGaucher disease type 1Gene therapyLysosomal storage diseasesMucopolysaccharidosis type III A/BPatient preferencesProbabilistic threshold technique

Identifiers

PMID39363355
PMCPMC11451020

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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.