Clinical and radiographic findings in multiple epiphyseal dysplasia caused by MATN3 mutations: Description of 12 patients
Bibliographic record
Abstract
Multiple epiphyseal dysplasia (MED) is characterized by pain and stiffness in joints and delayed and irregular ossification of epiphyses. Causative mutations have been recognized in six different genes. We have identified disease-causing mutations in the gene encoding matrilin-3, an extracellular matrix protein, in seven families with autosomal dominant MED. Review of the clinical and radiographic features in 12 of the affected family members shows a uniform pattern of skeletal anomalies in all patients with considerable degree of variability in severity, both between and within families. The characteristic clinical findings are onset of symptoms in early childhood with predominance of knee and hip related complaints, normal stature, and early-onset osteoarthritis. Radiographs show small and irregular epiphyses and mild metaphyseal irregularities and striations, especially at the knees and hips and mild spinal changes. Despite overlap, both clinically and radiographically, with other forms of MED, the described features may help to differentiate this particular form from other entities within the MED spectrum.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".