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Record W2070052090 · doi:10.1080/09593980701209121

Reliability of arthrometric measurement of shoulder lateral rotation movement in healthy subjects

2007· article· en· W2070052090 on OpenAlexaff
France Piotte, Denis Gravel, Sylvie Nadeau, Hélène Moffet, Caroline Bédard

Bibliographic record

VenuePhysiotherapy Theory and Practice · 2007
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversité LavalUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsShouldersReliability (semiconductor)Range of motionInclinometerRotation (mathematics)DependabilityExternal rotationOrthodonticsPhysical medicine and rehabilitationMathematicsPhysical therapyMedicineComputer sciencePhysicsGeodesyGeologySurgeryGeometry

Abstract

fetched live from OpenAlex

Numerous pathologic conditions of the shoulder result in loss of range of motion with lateral rotation being one of the most affected movements. Therefore, it is essential to know the reliability of the methods to measure this motion from a treatment evaluation perspective. The purpose of this study was to examine the reliability of the shoulder lateral rotation movement measured by an arthrometric method. Fifteen healthy subjects participated in the study. The passive range of motion in lateral rotation of the shoulder was measured with an arthrometric method for three positions of shoulder abduction and with three loads. Two evaluators took each measurement on two separate occasions. The reliability was good at 60 degrees and 90 degrees abduction with dependability indexes (phi) ranging from 0.77 to 0.87 and SEMs lower than 5 degrees. The reliability at 25 degrees abduction was lower with dependability indexes (phi) ranging from 0.52 to 0.66 and SEMs of 7 degrees or 8 degrees. Reliability was highest with the heaviest load reaching 0.66, 0.84, and 0.87 for the 25 degrees, 60 degrees, 90 degrees abduction angles, respectively. In all conditions of measurement, differences between intratester and intertester reliability were minimal. Reliability of the shoulder lateral rotation measured by arthrometry was dependent on angle of abduction and load used to move the shoulder. Further studies are needed to confirm these findings in individuals with impaired shoulders.

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)0.004
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.035
GPT teacher head0.382
Teacher spread0.347 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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