Individuals and Families Affected by RYR1-Related Diseases: The Patient/Caregiver Perspective
Bibliographic record
Abstract
Background and objective: Pathogenic variants of RYR1, the gene encoding the principal sarcoplasmic reticulum calcium release channel (RyR1) with a crucial role in excitation-contraction coupling, are among the most common genetic causes of non-dystrophic neuromuscular disorders. We recently conducted a questionnaire study focusing on functional impairments, fatigue, and quality of life (QoL) in patients with RYR1-related diseases (RYR1-RD) throughout the recognized disease spectrum. In this previous questionnaire study the medical perspective was taken, reflective of a study protocol designed by neurologists and psychologists. With this present study we wanted to specifically address the patient perspective. Methods: Together with affected individuals, family members, and advocates concerned with RYR1-RD, we developed an online patient survey that was completed by 227 patients or their parents/other caretakers (143 females and 84 males, 0-85 years). We invited 12 individuals, representing most of the patient group based on age, sex, race, and type and severity of diagnosis, to share their personal experiences on living with a RYR1-RD during an international workshop in July 2022. Data were analyzed through a mixed-methods approach, employing both a quantitative analysis of the survey results and a qualitative analysis of the testimonials. Results: Data obtained from the combined quantitative and qualitative analyses provide important insights on six topics: 1) Diagnosis; 2) Symptoms and impact of the condition; 3) Physical activity; 4) Treatment; 5) Clinical research and studies; and 6) Expectations. Conclusions: Together, this study provides a unique patient perspective on the RYR1-RD spectrum, associated disease impact, suitable physical activities and expectations of future treatments and trials, and thus, offers an essential contribution to future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".