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Record W1590839913

Reliability of hip range of motion using goniometry in pediatric femur shaft fractures.

2007· article· en· W1590839913 on OpenAlexaff
Janice Owen, Derek Stephens, James G. Wright

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGoniometerMedicineRange of motionReliability (semiconductor)Inter-rater reliabilityPhysical therapyFemurOrthodonticsPhysical medicine and rehabilitationSurgeryStatisticsRating scaleMathematics
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The purpose of this study was to determine the interrater reliability of the assessment of range of motion of the hip joint through goniometry. METHODS: We included children aged 4 to 10 years with a femoral shaft fracture, from 4 study sites, who had had either an early hip spica cast or an external fixator. An assessor blind to treatment received at each site measured range of hip joints motion, using a standardized goniometric technique at 15 and 24 months postfracture. RESULTS: The intraclass correlation coefficient (ICC) was used to quantify concordance or agreement. Most ICCs for the different aspects of hip range were between 0.2 and 0.5, indicating only slight agreement. The most reliable measure was hip flexion, with an ICC of 0.48 (95% confidence interval 0.29-0.63). CONCLUSION: Goniometric measurement, using standardized protocols for the hip, has low reliability. Only when differences in rotation exceed at least 30 degrees and in flexion-extension exceed 50 degrees should clinicians conclude that true change has occurred.

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)0.010
metaresearch head score (Gemma)0.038
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 score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.289
Teacher spread0.263 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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