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Record W4404925786 · doi:10.1590/1806-9282.20241109

Pelvic obliquity, trunk control, and motor function: an exploratory study in a non-ambulatory Duchenne muscular dystrophy cohort

2024· article· pt· W4404925786 on OpenAlexfundno aff
Fatma Uğur, İpek Alemdaroğlu-Gürbüz, Özlem Yayıcı Köken, Ayşegül Neşe Çıtak Kurt, Öznur Yılmaz

Bibliographic record

VenueRevista da Associação Médica Brasileira · 2024
Typearticle
Languagept
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
FundersRyerson University
KeywordsDuchenne muscular dystrophyTrunkPhysical medicine and rehabilitationAmbulatoryMedicineCohortMuscular dystrophyMotor functionPhysical therapyMotor controlSurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to investigate the relationship between pelvic obliquity and trunk control, spinal deformity, upper extremity functional performance, and motor function in patients with non-ambulatory Duchenne muscular dystrophy. METHODS: This cross-sectional study included 21 patients with Duchenne muscular dystrophy aged 8-18 years. In the study, participants' upper extremity functional levels, pelvic obliquity degrees, spinal deformity, trunk control, upper extremity performance, and motor functions were evaluated using various tools such as the Brooke Upper Extremity Functional Scale, baseline scoliometer, spinal mouse, Trunk Control Measurement Scale, Upper Extremity Performance Scale, and Egen Klassifikation Scale Version 2, respectively. RESULTS: The study found a strong correlation between pelvic obliquity and frontal spine deformity (p<0.01), as well as moderate relationships between pelvic obliquity, motor function, wheelchair usage duration, and knee flexion contractures (p<0.05). CONCLUSION: The study found that pelvic obliquity may lead to spinal health deterioration and motor function limitations in non-ambulatory patients with Duchenne muscular dystrophy, especially those with lower extremity joint contractures and long-term wheelchair use.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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.

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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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