Evaluation of the Anatomic Burden of Patients with Hereditary Multiple Exostoses
Bibliographic record
Abstract
Hereditary multiple exostosis (HME) is an autosomal dominant condition resulting predominantly from mutations in the exostosin 1 (EXT1) and exostosin 2 (EXT2) genes. We asked two questions in our study: first, what is the anatomic burden of subjects with HME; second, is there a difference in anatomic burden in subjects with EXT 1 versus EXT 2. The anatomic burden experienced by HME patients was defined according to three domains: (1) lesion quality; (2) limb malalignment and deformity; and (3) limb segment lengths and percentile height. Seventy-nine subjects with HME were included in this study. Of these 79 phenotypes were completed. Forty-eight genotypes were confirmed leaving 48 complete genotype-phenotype profiles for analysis. Analysis of the coding and flanking intronic regions of EXT1 and EXT2 was performed in each patient by direct sequencing of PCR-amplified genomic DNA. All three domains of anatomic burden showed a wide range of presentation in the HME study sample. More lesions and greater tendency to flat bone occurrence was associated with EXT1. EXT1 patients were shorter. All limb segments tended to be shorter for EXT1 subjects. EXT1 subjects showed more anatomic burden with respect to lesion quality and height.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".