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Record W32335691 · doi:10.1007/s00268-020-05546-7

Contribution of hip joint passive moments during the gait of children with Duchenne muscular dystrophy

2007· article· en· W32335691 on OpenAlexaff
Nathaly Gaudreault, Denis Gravel, Sylvie Nadeau

Bibliographic record

VenueWorld Journal of Surgery · 2007
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDuchenne muscular dystrophyPhysical medicine and rehabilitationGaitMuscle contractureMedicineHip flexionGait analysisPhysical therapyMuscular dystrophyKinematicsRange of motionAnatomy

Abstract

fetched live from OpenAlex

In children with DMD (Duchenne muscular dystrophy), flexion contractures may develop as a result of the disease process. The corresponding flexion moments caused by these contractures may contribute significantly to the production of the net hip flexion moment during the gait of these children. The goal of the present study is to quantify hip flexion passive moments that may be associated with the presence of hip flexion contractures and to estimate their contribution to the net moment during the gait of children with DMD. Kinematic and kinetic parameters were collected during gait of six subjects with DMD. Hip flexion passive moments were also measured during the same session. Six control children participated in the study in order to have normal reference values. Although no significant group difference was observed for hip flexion passive moment variables, the hip flexion passive moment contribution is worth noting in both groups of children. We believe that the passive moments can compensate for the presence of progressive muscle weakness in the children with DMD and be beneficial to their gait.

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 score0.153
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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