Musculoskeletal Pain in Patients With Myotonic Dystrophy Type 2
Bibliographic record
Abstract
BACKGROUND: Myotonic dystrophy type 2/proximal myotonic myopathy (DM2/PROMM) is an autosomal dominant multisystem disorder. Musculoskeletal pain is one of its frequent symptoms but also occurs in other chronic noninflammatory muscle disorders (OMD). OBJECTIVES: To characterize the phenotype of DM2/PROMM-associated musculoskeletal pain and to test whether it shows features distinct from OMD. SETTING: Outpatient clinic for patients with neuromuscular disorders, university hospital. PATIENTS: Twenty-four patients with DM2/PROMM (12 women and 12 men; median age, 57 years) and 24 age- and sex-matched patients with OMD consecutively recruited during a 3-year period were examined for musculoskeletal pain. METHODS: Standardized pain assessment; McGill Pain Questionnaire; depression score; and quantification of pain thresholds to blunt pressure on limb muscles with analgometer. RESULTS: Unlike patients with OMD who have musculoskeletal pain, patients with DM2/PROMM distinguished a wide spectrum of coexisting pain types. The major pain type in patients with DM2/PROMM was exercise-related, temperature-modulated, and palpation-induced, whereas, cramps were rare. In 8 of the patients with DM2/PROMM and in 3 of the patients with OMD, musculoskeletal pain was the most disabling symptom. CONCLUSION: Besides many similarities, DM2/PROMM-associated musculoskeletal pain shows features distinct from OMD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".