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Record W7117475811 · doi:10.1016/j.apmr.2025.12.014

Factors Associated With Functional Mobility in 256 Children With Arthrogryposis Multiplex Congenita: A Multicentric Cross-Sectional Study

2025· article· en· W7117475811 on OpenAlexafffund
Ahlam Zidan, Laurie Snider, Emmanouil Rampakakis, Frank Rauch, Lauren C. Hyer, M. Claire Manske, Haluk Altıok, Krister Freese, Cary H. Mielke, Sarah B. Nossov, Sena Tavukcu, Philip F. Giampietro, Noémi Dahan-Oliel

Bibliographic record

VenueArchives of Physical Medicine and Rehabilitation · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcGill UniversityShriners Hospitals for Children - CanadaMcGill University Health CentreMontreal Children's Hospital
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchFaculty of Medicine and Health, University of SydneyFaculty of Science, Medicine and HealthCentre for Interdisciplinary Research in RehabilitationIslamic Development BankShriners Hospitals for ChildrenFaculty of Medicine, McGill UniversityMcGill University
KeywordsArthrogryposis multiplex congenitaRehabilitationArthrogryposisCohortSocioeconomic statusCohort study

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe functional mobility among children, adolescents, and young adults with arthrogryposis multiplex congenita (AMC) and identify factors associated with mobility outcomes. DESIGN: Multisite cross-sectional study. SETTING: Eight orthopedic hospitals for children. PARTICIPANTS: A total of 256 individuals (N=256) aged 5-21 years with a confirmed clinical diagnosis of AMC were recruited between October 2019 and December 2022. AMC subtypes included amyoplasia (n=122), distal arthrogryposis (n=62), and Central Nervous System (CNS)/syndromic AMC (n=39). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Functional mobility was assessed using the mobility domain of the Functional Independence Measure for Children (WeeFIM) and the Gillette Functional Assessment Questionnaire (FAQ). Multivariable models were used to examine associations with perinatal and current clinical and environmental factors. RESULTS: Children with CNS/syndromic and amyoplasia subtypes demonstrated significantly lower WeeFIM scores (coefficients [Exp(B)]=0.74 and 0.85, respectively; both P<.05) and reduced odds of higher FAQ levels (adjusted odds ratio [AOR]=0.16 and 0.18, respectively; both P<.001) compared with those with distal arthrogryposis. Greater joint involvement, particularly at the knees, was a strong negative factor. Each additional perinatal joint contracture was associated with a 3.1% reduction in WeeFIM scores (Exp(B)=0.97, P<.001) and an 8.2% decrease in the odds of higher FAQ levels (AOR=0.92, P<.05). Current knee involvement was associated with a 27.7% reduction in WeeFIM scores (Exp(B)=0.72, P<.001) and nearly 90% lower odds of higher FAQ levels (AOR=0.10, P<.001). Parental unemployment (AOR=0.44, P<.05) and higher musculoskeletal surgical burden (AOR=0.24, P<.001) were significantly associated with poorer mobility. CONCLUSIONS: This is the largest cohort to date examining functional mobility in AMC. Clinical and socioeconomic factors identified may guide tailored rehabilitation strategies to promote positive outcomes in children with AMC.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.026
GPT teacher head0.327
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2025
Admission routes2
Has abstractno

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