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Record W2089015618 · doi:10.3109/17518423.2014.941116

Does hip displacement influence health-related quality of life in children with cerebral palsy?

2014· article· en· W2089015618 on OpenAlexaff
Nikolai H. Jung, Barbara Hellen Pereira, Ina Nehring, Olga Brix, Peter Bernius, A. Sebastian Schroeder, Gerhard Kluger, Tillmann Koehler, Andreas Beyerlein, Shannon Weir, Rüdiger von Kries, Unni Narayanan, Steffen Berweck, Volker Mall

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2014
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGross Motor Function Classification SystemCerebral palsyQuality of life (healthcare)Physical therapyMedicineGross motor skillPhysical medicine and rehabilitationMotor skill

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the association of hip lateralisation with health-related quality of life (HRQL) in children with cerebral palsy (CP) using the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD(®)) questionnaire. METHODS: We assessed n = 34 patients (mean age: 10.2 years, SD: 4.7 years; female: n = 16) with bilateral CP and Gross Motor Function Classification System (GMFCS) Level III-V using the CPCHILD(®) questionnaire. Hip lateralisation was measured by Reimer`s migration percentage (MP). RESULTS: There was an association between both, MP and GMFCS with CPCHILD(®) total score. Stratified analyses did not suggest interaction of the association between MP and CPCHILD(®) total score by GMFCS level. After adjustment for GMFCS level, we found a significant linear decrease of CPCHILD(®) total score of -0.188 points by 1% increment in MP. CONCLUSIONS: There was an association between MP and HRQL, which could not be explained by the GMFCS level.

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)0.000
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 score0.004
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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

Citations52
Published2014
Admission routes1
Has abstractyes

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