ArticleGenetics in medicine open2024
Health-related quality of life in patients with diverse rare diseases: An online survey.
Article in Genetics in medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating the Impact of Inspiratory Muscle Training on Respiratory Function and Exercise Capacity in Pulmonary Hypertension: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Advances in respiratory medicine · 2026Pooled it
- Approaches used to model patient and carer health-related quality of life in economic models of rare disease treatments in NICE appraisals.Health and quality of life outcomes · 2026Review
- According to Which Criteria Should the Undiagnosed Diseases Network's Value Be Assessed?AMA journal of ethics · 2025Article
- Health-related quality of life in patients with diverse rare diseases: An online survey.Genetics in medicine open · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Purpose: Rare diseases substantially contribute to population morbidity and mortality. Understanding rare disease health-related quality of life (HRQL) is essential for evaluating platform-based interventions that aim to tackle multiple rare diseases at a time. However, most HRQL studies focus on single or select group of rare diseases, often in a single country. Our study aimed to identify patient- and disease-specific correlates of HRQL across diverse rare diseases. Methods: We conducted an international online survey of rare disease patients and caregiver proxies affected by a systematically identified sample of rare diseases. We calculated EQ-5D scores and conducted multivariate linear regression to examine sociodemographic and disease predictors of EQ-5D-5L visual analog scale (VAS) and utility scores (United States only). Results: A total of 1053 individuals affected by 103 different rare diseases participated, including 660 patients and 393 caregiver proxies. Disability status and disease prevalence correlated with poorer HRQL across models ( Conclusion: Our results suggest that across rare diseases, lower HRQL is associated with a reduced rare disease prevalence and disability status, among other predictors. Understanding the key correlates of HRQL is essential for developing interventions for improving health care delivery and quality of life for rare disease patients and families.
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Registered trials
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