Body composition in patients with congenital myotonic dystrophy
Bibliographic record
Abstract
INTRODUCTION: Congenital myotonic dystrophy (CDM) is a rare neuromuscular disorder characterized by severe hypotonia and muscle weakness at birth that tends to improve with age. Understanding lean body and bone mass in this population has important research and clinical implications. The main objective of this study was to determine whether older children with CDM had muscle mass similar to healthy controls. METHODS: Thirty-five patients with CDM (3-13 years old) were enrolled. We analyzed lean body mass (LBM) and bone mineral content using the mechanostat framework, which allows calculation of z-scores for sex, age, and height. RESULTS: All patients had low LBM z-scores (muscle mass); however, higher LBM z-score was positively correlated with age (r = 0.45, P = 0.006), showing that it is closer to normal in older patients. DISCUSSION: Unlike other neuromuscular diseases, older children with CDM have a muscle mass closer to age-matched controls, consistent with the clinical profile of increasing strength in childhood. Muscle Nerve 60: 176-179, 2019.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".