Evidence map›Paper›PMID 42255526›Full record

ArticleJIMD reports2026

Patient Preferences in Neuromuscular Diseases: Insights for Future Drug Development.

Aura Cecilia Jimenez-Moreno, Alasdair Blain, Cathy Anne Pinto, Vikas Soekhai, Jennifer Viberg Johansson, Christine Dyer, Kate Adcock, Esther W de Bekker-Grob, G Ardine de Wit, Jane Newman and 1 more

Abstract read
In one paragraph

Article in JIMD reports, 2026. 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

11 authors.

Aura Cecilia Jimenez-MorenoWellcome Centre for Mitochondrial Research. Translational and Clinical Research Institute. Faculty of Medical Sciences, Newcastle University Newcastle upon Tyne UK.ORCID https://orcid.org/0000-0002-0488-9631
Alasdair BlainWellcome Centre for Mitochondrial Research. Translational and Clinical Research Institute. Faculty of Medical Sciences, Newcastle University Newcastle upon Tyne UK.
Cathy Anne PintoMerck & Co., Inc. Rahway New Jersey USA.
Vikas SoekhaiErasmus Choice Modelling Centre, Erasmus University Rotterdam Rotterdam DR the Netherlands.
Jennifer Viberg JohanssonDepartment of Public Health and Caring Sciences Centre for Research Ethics and Bioethics, Uppsala University Uppsala Sweden.
Christine DyerWellcome Centre for Mitochondrial Research. Translational and Clinical Research Institute. Faculty of Medical Sciences, Newcastle University Newcastle upon Tyne UK.
Kate AdcockMuscular Dystrophy UK London UK.
Esther W de Bekker-GrobErasmus Choice Modelling Centre, Erasmus University Rotterdam Rotterdam DR the Netherlands.
G Ardine de WitJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University Utrecht the Netherlands.
Jane NewmanWellcome Centre for Mitochondrial Research. Translational and Clinical Research Institute. Faculty of Medical Sciences, Newcastle University Newcastle upon Tyne UK.
Gráinne S GormanWellcome Centre for Mitochondrial Research. Translational and Clinical Research Institute. Faculty of Medical Sciences, Newcastle University Newcastle upon Tyne UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Incorporating patient preferences into drug development is crucial, particularly, for rare diseases with significant unmet needs. This study used Best-Worst Scaling type 2 (BWS-2) to explore benefit-risk trade-offs for patients and caregivers in two rare neuromuscular diseases (NMDs), myotonic dystrophy type 1 (DM1), and mitochondrial myopathy (MM). Patients with DM1 and MM, along with caregivers, completed a BWS-2 survey assessing four treatment benefits (muscle strength, energy and endurance, balance, cognition) and two risks (permanent liver damage, temporary blurring of vision). Participants were stratified by disease group and age of onset (< 20, ≥ 20 years). A latent class analysis was used to calculate the relative importance of each treatment attribute. Sociodemographic and disease-related data were also collected. A total of 270 participants (DM1

Indexed as

best worst scalingmitochondrial myopathymyotonic dystrophypatient preferencesrisk tolerance

Identifiers

PMID42255526
PMCPMC13239944

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.