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Record W2052338700 · doi:10.1097/bpo.0b013e31823ee31c

Health-related Quality of Life in People With Hereditary Multiple Exostoses

2012· article· en· W2052338700 on OpenAlexafffundabout
Harpreet Chhina, Jennifer C. Davis, Christine M. Alvarez

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2012
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsBC StudiesUniversity of British ColumbiaBC Children's Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineQuality of life (healthcare)PopulationPediatricsHereditary multiple exostosesDemographyGerontologyEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.293
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2012
Admission routes3
Has abstractyes

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