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Record W4401615353 · doi:10.1177/2325967124s00106

Poster 137: Psychological Readiness has Stronger Relationship with Patient Reported Return to Normal than Traditional Measures of Strength and Western Ontario Shoulder Instability Index

2024· article· en· W4401615353 on OpenAlexaboutno aff
Alex M. Meyer, John Twomey‐Kozak, Eoghan T. Hurley, Imoh Udoh, Damon V. Briggs, Brian C. Lau

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIndex (typography)Physical therapyPhysical medicine and rehabilitationClinical psychology

Abstract

fetched live from OpenAlex

Objectives: Literature is scarce regarding the influence of psychological readiness on return-to-play (RTP) after shoulder instability surgery. The shoulder instability-Return to Sport after Injury (SIRSI) score is a tool designed to predict whether patients are psychologically ready to return to sports after glenohumeral stabilization surgery. The objective of this study is to correlate SIRSI, and traditional measures including strength testing and Western Ontario Shoulder Instability Index (WOSI) survey with patient’s self-reported Single Assessment Numeric Evaluation (SANE) score during rehabilitation and at the time of RTP. Methods: All patients who participated in athletics who underwent arthroscopic labral repair for shoulder instability from June 2021 to December 2022 with a fellowship trained orthopaedic surgeon were eligible to participate. SIRSI and WOSI scores and strength testing (Biodex testing) were administered at 4 months postoperatively and every 2 months until clearance based on functional testing battery (>90% limb symmetry, strength, rate of force development, shoulder stability and endurance). Pearson Correlation coefficients were calculated for survey metrics between SANE with SIRSI, WOSI, and strength testing at final follow up. Strength of correlation coefficients was reported as very strong >0.80, strong (0.60-0.79), moderate (0.40-0.59), weak (0.20-0.39), and very weak (0.00-0.19). Results: Overall, 22 patients who cleared objective functional testing criteria and completed appropriate surveys at return to sport. There was a mean age of 19.8 years (range 11-44 years), with 12 males and 10 females, and the mean follow up was 11 months (6-24 months). The mean final SANE scores at these time points were 79.12 (25-100). Pearson correlation between SANE and SIRSI, WOSI at time of return-to-play was 0.92, and 0.67 respectively. The correlation coefficients for strength testing at varying positions including closed kinetic chain upper extremity stability test, posterior shoulder endurance test LSI, and peak force in Y, T, I positions LSI were weak to moderate (0.20-0.59). Conclusions: The SIRSI had a stronger correlation than WOSI to patients self-reported return to baseline (SANE scores). This finding highlights the importance of psychological readiness in return to sport compared to traditional measures of strength testing and WOSI scores. SIRSI should be incorporated into functional test batteries for shoulder instability.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.098
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0980.007

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 head0.134
GPT teacher head0.376
Teacher spread0.242 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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