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Record W4242184891 · doi:10.21203/rs.2.20823/v1

Secondary Consequences of Juvenile Idiopathic Arthritis in Youth with Knee Joint Involvement Compared to Healthy Controls

2020· preprint· en· W4242184891 on OpenAlexafffund
Colleen Nesbitt, Gregor Kuntze, Clodagh Toomey, Shane Esau, Julia Brooks, Dianne Mosher, Marinka Twilt, Carolyn Johns, Luz Palacios‐Derflingher, Janet Ronsky, Susanne M. Benseler, Carolyn Emery

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersAlberta InnovatesCumming School of Medicine, University of CalgaryAlberta Children's Hospital FoundationChildren's Hospital FoundationAlberta Health Services
KeywordsJuvenileArthritisJoint (building)Knee JointMedicinePsychologyPhysical therapyPhysical medicine and rehabilitationInternal medicineSurgeryBiologyEngineeringStructural engineeringEcology

Abstract

fetched live from OpenAlex

Abstract Background: Juvenile Idiopathic Arthritis (JIA) is the most common childhood rheumatic disease. Given the heterogeneity of JIA and advances in treatment approaches, there is a persistent lack of consensus regarding the secondary consequences of JIA. This study assessed body structure and function and physical activity outcomes in youth with JIA compared to their healthy peers. Methods: Youth with JIA (n=25; 10-20 years old) and age and sex matched healthy peers (n=25) participated in two data collections (one week apart) (Ethics ID# REB15-3125). Day 1 testing included a triple single leg hop test (TSLH) and an incremental bike test. Participants then recorded their physical activity for one week using the waist worn ActiGraph. Day 2 testing consisted of a dual-energy x-ray absorptiometry scan. Outcomes included: moderate to vigorous physical activity (MVPA), peak oxygen uptake (VO2peak), maximal TSLH distance (% leg length), and fat mass index (FMI). Data were assessed for normality and outliers. Pair differences were analyzed in R (R Core Team, Austria) using t-confidence intervals (CI) or the Hodges-Lehmann method with Bonferroni correction. A significant difference was accepted if CIs excluded zero. The effect of sex on outcomes was examined using pair difference medians and first and third quartiles. Results: CIs for all study outcomes contained zero and did not meet criteria for significant differences between pairs. However, based on the large lower limit and small upper limit of the CIs for MVPA (median -18.6min 97.5%CI [-44.3,2.0]), a larger sample might have concluded that youth with JIA perform substantially less MVPA than their healthy peers. Further, based on pair difference point estimates and interquartile ranges, sex may be a confounder with regards to physical activity participation and may be an effect modifier of the TSLH. Conclusions: The results of this study provide further evidence on the consequences of JIA on physical activity participation in youth. These findings highlight the importance of considering the effects of sex, particularly with regards to physical activity and TSLH outcomes. Further research across JIA subtypes is needed to inform the targeted exercise therapy programs to restore healthy patterns of physical activity participation.

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)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.393
Teacher spread0.258 · 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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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