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Record W1977707705 · doi:10.3138/ptc.57.4.265

Test–Retest and Interrater Reliability of Goniometric Tibial Rotation Range of Motion Measurements

2005· article· en· W1977707705 on OpenAlexvenueno aff
Agnes Makowski, Trevor B. Birmingham, John Kramer, Pankaj Jogi, Lorie A. Forwell, Kathy Obright

Bibliographic record

VenuePhysiotherapy Canada · 2005
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSupine positionIntraclass correlationGoniometerInter-rater reliabilitySittingRange of motionMedicineReliability (semiconductor)OrthodonticsPhysical therapyPhysical medicine and rehabilitationExternal rotationMathematicsSurgeryPhysicsRating scaleStatisticsPsychometrics

Abstract

fetched live from OpenAlex

Purpose: Although suggested to be an important component of physiologic knee function, the ability to accurately assess tibial rotation range of motion (ROM) is currently limited by a lack of reliability data for clinically practical measurement tools. The purpose of the present study was to estimate the reliability of tibial rotation ROM measurements taken with subjects in sitting and supine positions. Methods: Thirty healthy subjects (mean age 37 ± 12 years) completed maximal active internal and external tibial rotation movements in sitting and supine positions. ROM was assessed on two occasions and by two raters using a gravity- and magnetic-referenced goniometer. Results: There were significant differences between internal and external rotation ROM values (p < .05) and between values obtained with subjects in sitting and supine positions (p < .05). Intraclass correlation coefficients (ICCs) suggested that test–retest reliability for all measurements was excellent (ICC = 0.83–0.93), whereas interrater reliability was poor to excellent (ICC = 0.39–0.81). Standard errors of measurement ranged from approximately 1 to 2°. Conclusions: These findings suggest that tibial rotation ROM can be assessed reliably by one rater using one test position. However, caution must be adopted when comparing ROM measurements assessed by different raters or in different test positions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.275
Teacher spread0.262 · 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 designBench or experimental
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

Citations3
Published2005
Admission routes1
Has abstractyes

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