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Record W4409027730 · doi:10.1093/jhps/hnaf011.183

EP2.7 Joint instability of the Hip, Knee and Shoulder: Are they all made equal?

2025· article· en· W4409027730 on OpenAlexaff
Paul E. Beaulé, Hail Alharthi, Ariane Parisien, Peter Lapner, J. Whitcomb Pollock, Michael Pickell, Geoffrey F. Dervin, George Grammatopoulos, Stéphane Poitras

Bibliographic record

VenueJournal of Hip Preservation Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsMedicineJoint (building)Joint instabilityInstabilityKnee JointOrthodonticsPhysical medicine and rehabilitationSurgeryMechanics

Abstract

fetched live from OpenAlex

Abstract Purpose: The burden of joint instability on the patient’s general health has been well recognized in the shoulder and knee but not as much in the hip. The purpose of the study is to compare patients have undergone corrective surgery for instability of the hip knee, and shoulder to better understand their relative impact on quality of life. Methods: 230 instability correction procedures performed between 1-Jun-2018 and 31-Jan-2023 were included in the analysis: 62 dysplastic hips [Mean Age 31 (16-47), BMI 25 (18-33), ASA 2.0 (1-3) and 7 Male (11%)], 112 knees with ligamentous injuries[Mean Age 34 (18-61), BMI 27 (16-48), ASA 1.6 (1-3) and 62 Male (55%)], and 56 unstable shoulders [Mean Age 38 (18-67), BMI 27 (20-37), ASA 2.0 (1-3) and 39 Male (70%)]. Intra-operative surgical details including, arthroscopic treatment, as well as labral, cartilage, and bone corrections, were collected. Pre-operative and 1-year post-operative Physical and Mental PROMIS patient-reported outcome measures were also compiled. Results: In the hip group surgeries were: periacetabular osteotomy (PAO) (71%), PAO with scope (23%), and Arthroscopy alone (6%); in the shoulder group: 61% of patients received a scope, and 39% received open surgery; in the knee group: 85% of patients received ACL surgery alone while 15 received both ACL and Meniscus treatment. All patients exhibited improvements in their functional score with hip instability having the worst physical outcomes Pre- and Postoperatively. Mean Pre-operative Physical Health PROMIS score was [Hip 40.1 (SD 6.9); Knee 48.3 (SD 7.7); Shoulder 46.6 (SD 8.0)] and 12 months post-operative was [Hip 45.2 (SD 7.6); Knee 50.4 (SD 6.2); Shoulder 48.8 (SD 7.7)]. Mean Pre-operative Mental Health PROMIS score was [Hip 38.8 (SD 8.5); Knee 48.6 (SD 8.9); Shoulder 48.1 (SD 10.3)] and 12 months post-operative was [Hip 41.6 (SD 9.3); Knee 48.6 (SD 9.5); Shoulder 47.5 (SD 10.0)]. Conclusion: Joint instability carries a significant burden on patients’ both physical and mental quality of life. More importantly, instability from a bony deformity i.e. hip dysplasia is as impactful as soft tissue/ligamentous instability of shoulder and knee. This analysis adds further validity to instability as the leading pathomechanism of hip dysplasia.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.028
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.094
GPT teacher head0.329
Teacher spread0.236 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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