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Record W2318907807 · doi:10.1097/bpo.0b013e31818e1967

Assessing Functional Outcomes of Children With Muscular Dystrophy and Scoliosis

2008· article· en· W2318907807 on OpenAlexaff
James G. Wright, Patricia L. Smith, Janice Owen, Darcy Fehlings

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2008
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineScoliosisIntraclass correlationMuscular dystrophyPhysical therapyConstruct validityReliability (semiconductor)Physical medicine and rehabilitationPediatricsPsychometricsClinical psychologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to develop a valid and reliable scale to evaluate the symptoms and functional abilities important to children with scoliosis and muscular dystrophy and their parents. METHODS: Eighty-five items were generated from a review of the literature and interviews with clinicians, parents, and children with muscular dystrophy and scoliosis. Items were reviewed and rated in terms of "importance" and "severity" by the children and their parents. The foremost 29 items were formatted into a self-administered questionnaire. RESULTS: The questionnaire, completed 2 weeks apart, demonstrated "excellent" test-retest reliability (intraclass correlation coefficient = 0.97). Construct validity was established through correlations with forced vital capacity (r = 0.46; P = 0.02), the Activities Scale for Kids (r = 0.40; P = 0.04), and the Pediatric Outcomes Data Collection Questionnaire (r = 0.72; P = 0.00). CONCLUSIONS: In conclusion, the Muscular Dystrophy Spine Questionnaire is a valid and reliable questionnaire designed to assess the outcomes of treatment in children with muscular dystrophy and scoliosis. LEVEL OF EVIDENCE OR CLINICAL RELEVANCE: Prognostic level 2.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.271
Teacher spread0.243 · 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

Citations27
Published2008
Admission routes1
Has abstractyes

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