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Record W4229002832 · doi:10.1002/acr.24492

Reproducibility of the <scp>Six‐Minute</scp> Walk Test in Children and Youth With Juvenile Idiopathic Arthritis

2020· article· en· W4229002832 on OpenAlexafffund
Lesley Pritchard, Olaf Verschuren, Michelle Roy, Cara Kaup, Dax G. Rumsey

Bibliographic record

VenueArthritis Care & Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsGlenrose Rehabilitation HospitalUniversity of Alberta
FundersCanadian Child Health Clinician Scientist ProgramGlenrose Rehabilitation HospitalStollery Children’s Hospital Foundation
KeywordsJuvenileReproducibilityTest (biology)PsychologyMedicineDevelopmental psychologyBiologyChemistryGeneticsChromatographyEcology

Abstract

fetched live from OpenAlex

Objective While the 6‐minute walk test is increasingly being used in research to evaluate submaximal exercise capacity of children with juvenile idiopathic arthritis (JIA), psychometric properties with this population have not been well evaluated. We undertook this study to evaluate reproducibility (agreement and test–retest reliability) and to determine standard error of measurement (SEM) and smallest detectable difference (SDD) in children and youth with JIA. Methods Participants (n = 22, mean ± SD age 13.1 ± 1.1 years, 63.6% female) completed a 6‐minute walk test as part of their routine clinical assessment, and then repeated the 6‐minute walk test at mean ± SD 8 ± 1.2 days later, in the same clinical setting with the same rater. Results The intraclass correlation coefficient (95% confidence interval) was 0.86 (0.66–0.94); the SEM and SDD were 23.5 and 65.1 meters, respectively. Conclusion These results provide evidence of good–excellent reproducibility of the 6‐minute walk test with children and youth with JIA and support the use of the 6‐minute walk test as a measure of submaximal exercise capacity in clinical practice and research.

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)0.007
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 score0.092
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
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 science0.0000.001
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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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

Citations32
Published2020
Admission routes2
Has abstractyes

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