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Record W1894958681 · doi:10.1258/ht.2010.010014

Validity, responsiveness and reliability of the Patient-Rated Tennis Elbow Evaluation

2010· article· en· W1894958681 on OpenAlexaff
Bryan Chung, J. Preston Wiley

Bibliographic record

VenueHand Therapy · 2010
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPhysical therapyMedicineDiscriminant validityIntraclass correlationEpicondylitisReliability (semiconductor)Physical medicine and rehabilitationElbowTennis elbowQuality of life (healthcare)Convergent validityRandomized controlled trialActivities of daily livingPsychometricsClinical psychologySurgery

Abstract

fetched live from OpenAlex

Introduction Lateral epicondylitis (LE) is a common, often chronic injury that affects a person's ability to grip and perform manual tasks including activities of daily living and leisure. Treatment of LE is controversial; however, there have been no standardized tools with which to measure outcomes in trials investigating new or existing therapies for LE. The Patient-Rated Tennis Elbow Evaluation (PRTEE) was designed to fill this gap, but has not yet been validated to the same standard as other, similarly developed tools. Methods Sixty subjects with LE who participated in a double-blind randomized controlled trial were measured with respect to the PRTEE, ‘overall pain’, ‘resting pain’, ‘pain during sleep’, ‘pain at its worst’ and ‘pain at its least’, and quality of life. All tools were administered at baseline, four and eight weeks. Results The PRTEE showed poor item-specific validity with measures of similar constructs. The intraclass correlation coefficient for test–retest reliability over four weeks was 0.76. The mean PRTEE differences between the group that experienced clinical significant change and the group that experienced virtually no change were significantly different from one another ( t = −2.96, df = 30, P = 0.006). Discussion The PRTEE shows questionable discriminant ability due to its moderate test–retest reliability and possibly due to low convergent validity with other measures of similar constructs. The PRTEE appears to be sensitive to change, but the margin of difference between a clinically relevant change and ‘no change’ is very small.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.156

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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

Citations10
Published2010
Admission routes1
Has abstractyes

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