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Record W6921108009 · doi:10.6084/m9.figshare.14892044

Psychometric properties and cross-cultural adaptation of the Patient-Rated Tennis Elbow Evaluation (PRTEE); a systematic review and meta-analysis

2021· article· en· W6921108009 on OpenAlexaff

Bibliographic record

VenueFigshare · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsMcMaster UniversitySt Joseph's Health CareWestern University
Fundersnot available
KeywordsReliability (semiconductor)Construct validityTennis elbowAthletesElbowRating scaleInternal consistencyPsychometricsConstruct (python library)Scale (ratio)

Abstract

fetched live from OpenAlex

To synthesize and appraise the evidence on the translation, cross-cultural adaptation, and psychometric properties of the Patient-Rated Tennis Elbow Evaluation (PRTEE). Five electronic databases were searched from 1999 to 2021. Two independent reviewers assessed the risk of bias and quality of the included studies using the COSMIN recommended guidelines. The overall quality of the evidence on each psychometric property was provided using the GRADE approach. Twenty-one studies met the criteria for inclusion in this review. The PRTEE was translated and cross-culturally adapted to 13 languages and cultures. High quality of evidence supports sufficient pooled results for test-retest reliability (0.96(CI: 0.94–0.97)), construct validity (against Disabilities of the Arm, Shoulder, and Hand (DASH): 0.81(CI: 0.76–0.85), against Visual Analogue Scale (VAS): 0.70 (0.62–0.74)), and responsiveness of the PRTEE. The overall rating of the structural validity and internal consistency (0.96(CI: 0.94–0.97)) was indeterminate, and the quality of evidence was low and moderate, respectively. Regarding measurement error, the overall rating of the summarized results (Standard error of measurement (SEM): 3.1 (1.8 to 4.4) and Minimal Detectable Change (MDC<sub>95</sub>): 8.9 (5.3–12.5)) was sufficient, and the quality of evidence was moderate. Moderate to high quality evidence supports adequate psychometric properties of the PRTEE in terms of internal consistency, test-retest reliability, measurement error, hypothesis testing for construct validity, and responsiveness.Implications for RehabilitationThe PRTEE can measure the construct of pain and disability at a single time-point and detect changes over time precisely.The PRTEE can be used in clinical setting for patients with acute, subacute, and chronic Lateral Elbow Tendinopathy (LET), athletes who suffer from elbow pain and tennis players. The PRTEE can measure the construct of pain and disability at a single time-point and detect changes over time precisely. The PRTEE can be used in clinical setting for patients with acute, subacute, and chronic Lateral Elbow Tendinopathy (LET), athletes who suffer from elbow pain and tennis players.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0690.000

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 head0.264
GPT teacher head0.299
Teacher spread0.035 · 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.

Study designSystematic review
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

Citations0
Published2021
Admission routes1
Has abstractyes

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