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Record W2604546054 · doi:10.1002/ajmg.a.38169

Long‐term functional and mobility outcomes for individuals with arthrogryposis multiplex congenita

2017· article· en· W2604546054 on OpenAlexafffund
Hirmand Nouraei, Bonita Sawatzky, Megan K. MacGillivray, Judith G. Hall

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2017
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsBC Children's HospitalChild and Family Research InstituteInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersUniversity of British Columbia Graduate School
KeywordsArthrogryposis multiplex congenitaMedicineArthrogryposisQuality of life (healthcare)Muscle contracturePopulationScoliosisPhysical therapyPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

Arthrogryposis multiplex congenita (AMC) is a birth defect that involves congenital joint contractures in two or more joints including the limbs, spine, and jaw. The purpose of our study was to identify long-term outcomes of adults with AMC. We recruited 177 participants from over 15 countries, making this the largest international study of adults with AMC. Participants provided demographic information including living situation and mobility and completed two standardized outcome measures, of quality of life and physical activity, using an online survey format. The data were compiled and descriptive analyses were performed. The study group consisted of 72% females and a mean age of 39 years. Over 90% of participants had upper and lower limb involvement, 35% had scoliosis or lordosis while 16% had jaw problems. Participants had an average of nine (0-70) surgeries at the time of the study. The majority (75%) of respondents lived independently of family members (on their own or with a partner). Participants were nearly three times more likely to have a graduate degree than the general US population. Participants reported lower physical function scores than the general US population; however, they reported similar or higher scores for the other quality of life domains of the SF-36. They were considerably less physically active than able-bodied individuals. Half of participants experienced chronic back pain and 60% reported joint pain. Additionally, almost half of the participants took regular pain medications.

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)0.001
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 score0.161
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.046
GPT teacher head0.364
Teacher spread0.318 · 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
Published2017
Admission routes2
Has abstractyes

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