The myotonic dystrophy experience: a North American cross‐sectional study
Bibliographic record
Abstract
INTRODUCTION: Myotonic dystrophy (DM) is a chronic, multisystemic, neurological condition. Patients and caregivers are uniquely suited to identify what symptoms are most important and highlight the unmet needs that are most relevant to DM. METHODS: We conducted a North American, cross-sectional study of people with DM type-1, congenital DM, and DM type-2 and their family members. We sent patients and caregivers separate surveys to identify and quantitate the issues of greatest importance, examine the differences between groups, and identify the most important challenges experienced by this population. RESULTS: 1,180 people with DM and 402 family members/caregivers responded to the surveys. They reported considerable physical and cognitive symptoms, extensive diagnostic delays, and varying clinical phenotypes on the basis of DM type. DISCUSSION: Marked disease burden and numerous unmet needs exist in DM. These needs vary based on DM type and highlight the complex clinical phenotypes of these neurological disorders. Muscle Nerve 59:457-464, 2019.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".