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Record W2955560289 · doi:10.1002/ajmg.c.31720

The relationship between joint surgery and quality of life in adults with arthrogryposis: An international study

2019· article· en· W2955560289 on OpenAlexafffund
Bonita Sawatzky, Talon Jones, Rebecca Miller, Hirmand Noureai

Bibliographic record

VenueAmerican Journal of Medical Genetics Part C Seminars in Medical Genetics · 2019
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsUniversity of British Columbia
FundersRare Disease Foundation
KeywordsArthrogryposis multiplex congenitaMedicineElbowMuscle contractureArthrogryposisQuality of life (healthcare)Physical therapyJoint ContractureTelephone interviewPhysical medicine and rehabilitationSurgeryContracture

Abstract

fetched live from OpenAlex

Individuals with Arthrogryposis Multiplex Congenita (AMC) are born with multiple joint contractures in multiple body areas, typically manifested as clubfeet, extended or flexed knees and/or elbows, and internal shoulder rotation, and clasped hands. They require multiple surgeries as children, but there is little data that reports their aging and future quality of life (QOL). This study describes the relationship between AMC-related surgically-managed joints in childhood and adulthood, and QOL as adults. Participants (n = 83) from 14 countries completed an online questionnaire followed by a telephone/Skype interview as adults. Data points collected regarding total number of surgeries, affected joints, country of origin, sex, age, and SF-36's Physical Capacity Score (PCS) for QOL were analyzed using a beta regression model to explore which factors may potentially influence adult QOL. The average number of surgeries per participant was 9.8, with at least 50% performed during childhood. 78, 45, and 31% of participants had foot, knee, and hip surgeries, respectively. The model demonstrated that knee and/or shoulder surgeries were more likely to have a negative correlation with PCS; elbow surgery, however, showed a positive correlation, as elbow function may impact independent function. However, future expansion of this data set to a longitudinal registry would provide better ongoing surgery-specific data.

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)0.007
metaresearch head score (Gemma)0.006
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 score0.122
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.380
Teacher spread0.316 · 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

Citations14
Published2019
Admission routes2
Has abstractyes

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