Health-related Quality of Life in People With Hereditary Multiple Exostoses
Bibliographic record
Abstract
BACKGROUND: Hereditary multiple exostoses (HME) is a rare genetic disorder, which can be associated with severe complications that may significantly affect the health-related quality of life (HRQL). Our primary objective was to describe the baseline HRQL in HME individuals at the British Columbia's Children's Hospital HME clinic and the Multiple Hereditary Exostoses Coalition compared with relevant Canadian and US population norms. This is the first study to explore the HRQL among adults and children with HME. METHODS: Previously validated instruments Short Form-36 version 2, Short form-6D, and Child Health Questionnaire Parent Form 50 were used to assess the HRQL of individuals with HME. The scores from these instruments were compared with the relevant population norms. The British Columbia's Children's Hospital and Multiple Hereditary Exostoses coalition populations were also compared with each other. RESULTS: The study sample consisted of 100 participants including 57 adults and 43 children. The mean age for Short Form 36 version 2 survey was 40.10±13.01 years and for Child Health Questionnaire Parent Form 50 was 9.93±3.48 years. Adult HME population had lower scores than both the US and Canadian general population in all domains except for emotional role limitations. Short Form -6D utility scores (0.65) indicates the quality of life for some individuals is near death and for others it is comparable or better than individuals with rheumatoid arthritis. Children with HME scored less than the US general population; particularly lower scores were seen in bodily pain (51.2 vs. 81.7) and emotional self-esteem (52.0 vs. 79.8). CONCLUSIONS: HME population has lower HRQL than the general population. These data provide a benchmark for individuals with HME. From such data, future research on HME disease progression and effectiveness of treatments/interventions can be tracked over time. LEVEL OF EVIDENCE: Level II, This is a prognostic, prospective study with participants enrolled at different points in their disease.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".