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Record W4390954694 · doi:10.1177/03635465231213870

ASES and UCLA Are Responsive Patient-Reported Outcome Measures After Rotator Cuff Repair: A Systematic Review and Meta-analysis

2024· review· en· W4390954694 on OpenAlexaboutno aff
Varag Abed, Sabryn Kapp, Michael Nichols, Nathan Brunty, Caitlin Conley, Cale A. Jacobs, Lauren E. Robinson, Austin V. Stone

Bibliographic record

VenueThe American Journal of Sports Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPromRotator cuffMedicineMeta-analysisSystematic reviewRange of motionVisual analogue scaleMEDLINEPhysical therapyInclusion and exclusion criteriaPatient-reported outcomeSurgeryInternal medicinePathologyAlternative medicineQuality of life (healthcare)

Abstract

fetched live from OpenAlex

BACKGROUND: Multiple patient-reported outcome measures (PROMs) have been used to assess shoulder function, but it is unknown which are the most effective. PURPOSE/HYPOTHESIS: The purpose of this study was to report the multiple PROMs used after rotator cuff repair (RCR) and to compare the responsiveness between them. It was hypothesized that the Western Ontario Rotator Cuff PROM would be the most responsive and commonly used in patients undergoing RCR. STUDY DESIGN: Meta-analysis; Level of evidence, 4. METHODS: A systematic review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PRISMA-Searching extension guidelines via PubMed/MEDLINE, Embase (Elsevier), and Web of Science (Clarivate). Patient and study characteristics were extracted. From the studies that met inclusion criteria for responsiveness analysis (≥2 PROMs reported, 1-year minimum follow-up, and pre- and postoperative PROM means and standard deviations reported), the authors compared the responsiveness between PROM instruments using effect size and relative efficiency (RE) if a PROM could be compared with another in ≥10 articles. RESULTS: A total of 252 studies met inclusion criteria (32,072 patients; mean age, 59.6 years; mean body mass index, 28.7; mean follow-up time, 27.8 months). Range of motion was reported in 131 (52%) studies and imaging findings were reported in 123 (49%) studies. There were 67 PROM instruments identified; the most commonly used were the American Shoulder and Elbow Surgeon (ASES) (n = 183; 73%), Visual Analog Scale (VAS) (n = 163; 65%), and Constant (n = 118; 47%) scores. The 3 PROMs with the highest effect sizes were the University of California, Los Angeles (UCLA) (2.51), Western Ontario Rotator Cuff (2.42), and ASES (2.00) scores. Overall, UCLA and ASES scores were the most responsive PROMs. The ASES PROM was more responsive than the VAS (RE, 1.70), Constant (RE, 2.76), Simple Shoulder Test (RE, 1.67), and Single Assessment Numeric Evaluation (RE, 2.14) scores. The UCLA PROM was more responsive than the ASES (RE, 1.03), VAS (RE, 3.66), Constant (RE, 1.72), and Simple Shoulder Test (RE, 1.66) scores. CONCLUSION: ASES and UCLA scores were the most responsive PROMs after RCR. The authors recommend widespread adoption of ASES and UCLA scores for clinical and research standardization; however, the UCLA PROM requires in-person range of motion and strength testing, which is a practical limitation and barrier to long-term follow-up.

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)0.039
metaresearch head score (Gemma)0.089
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.089
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0180.050
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.102
GPT teacher head0.395
Teacher spread0.293 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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