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Record W4381327507 · doi:10.2519/jospt.2023.11611

Youth With a Sport-Related Knee Injury Exhibit Significant and Persistent Knee-Related Quality-of-Life Deficits at 12-Month Follow-up Compared to Uninjured Peers

2023· article· en· W4381327507 on OpenAlexaff
Christina Le, Jean‐Michel Galarneau, Stephanie R. Filbay, Carolyn A. Emery, Patricia J. Manns, Jackie L. Whittaker

Bibliographic record

VenueJournal of Orthopaedic and Sports Physical Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsUniversity of British ColumbiaAlberta Children's HospitalResearch CanadaUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicinePhysical therapyQuality of life (healthcare)OsteoarthritisKnee painAnterior cruciate ligamentConfidence intervalCohort studyYoung adultProspective cohort studyPhysical medicine and rehabilitationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We aimed to compare knee-related quality of life (QOL) between youth with and without an intra-articular, sport-related knee injury at baseline (≤4 months postinjury), 6-month, and 12-month follow-up, and assess the association between clinical outcomes and knee-related QOL. DESIGN: Prospective cohort study. METHODS: We recruited 86 injured and 64 uninjured youth (similar age, sex, sport). Knee-related QOL was assessed with the Knee injury and Osteoarthritis Outcome Score (KOOS) QOL subscale. Linear mixed models (95% confidence interval [CI]; clustered on sex and sport) compared KOOS QOL between study groups over the study period, considering sex-based differences. We also explored the association of injury type (anterior cruciate ligament [ACL]/meniscus injury or other), knee extensor strength (dynamometry), moderate-to-vigorous physical activity (accelerometer), intermittent knee pain (Intermittent and Constant Osteoarthritis Pain [ICOAP] measure), and fear of reinjury (17-item Tampa Scale of Kinesiophobia) with knee-related QOL. RESULTS: Participant median (range) age was 16.4 (10.9-20.1) years, 67% were female, and 56% of injuries were ACL ruptures. Injured participants had lower mean KOOS QOL scores at baseline (−61.05; 95% CI: −67.56, −54.53), 6-month (−41.37; 95% CI: −47.94, −34.80), and 12-month (−33.34; 95% CI: −39.86, −26.82) follow-up, regardless of sex. Knee extensor strength (6- and 12-month follow-up), moderate-to-vigorous physical activity (12-month follow-up), and ICOAP (all time points) were associated with KOOS QOL in injured youth. Additionally, having an ACL/meniscus injury and higher Tampa Scale of Kinesiophobia scores were associated with worse KOOS QOL in injured youth. CONCLUSION: Youth with a sport-related knee injury have significant, persistent knee-related QOL deficits at 12-month follow-up. Knee extensor strength, physical activity, pain, and fear of reinjury may contribute to knee-related QOL. J Orthop Sports Phys Ther 2023;53(8):480-489. Epub: 20 June 2023. doi:10.2519/jospt.2023.11611

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.279
Teacher spread0.251 · 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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Citations4
Published2023
Admission routes1
Has abstractyes

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