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AB1180 THE CHANGES OVER TIME OF KNEE STRENGTH AND FUNCTIONAL OUTCOMES BEFORE AND AFTER BILATERAL TOTAL KNEE ARTHROPLASTY

2023· article· en· W4379795057 on OpenAlexaboutno aff
Jae-Hyeong Choi, Woonhyeok Jeong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTotal knee arthroplastyArthroplastyKnee JointPhysical therapyPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

Background Knee osteoarthritis is the most common joint disorder and is associated with functional disability and pain. Total knee arthroplasty (TKA) is considered as an effective treatment for patients with end-stage knee osteoarthritis. However, most patients experienced deterioration in knee strength and functional outcomes immediately after surgery. Objectives The overall aim of this study was to investigate the change over time of knee strength and functional outcomes before and after bilateral total knee arthroplasty. Methods Retrospective cohort data of 308 patients who underwent primary bilateral TKA were analyzed. Patients underwent home-based preoperative rehabilitation program (3 times per week for 3 or 4 weeks) including strengthening and resistance training. After TKA, standard rehabilitation program was applied to all patients. Outcome measures were assessed 3 times, preoperatively and at 6 weeks and 3 months after surgery which included performance-based physical function test and self-reported physical function questionnaires. Assessment were included the isometric knee extensor and flexor strength of both knees, timed up-and-go (TUG) test, timed stair climbing test (SCT), 6-minute walk test, isometric knee extensor and flexor strength of both knees, knee flexion and extension range of motion, Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) for pain, stiffness, and functional levels. The knee flexion and extension range of motion (ROM) was assessed 5 times including at the beginning and end of standard rehabilitation. Results The knee extensor strength and ROM, and SCT of ascending were worsened at the 6 weeks after surgery, and these measures significantly improved following the 6 weeks. The ROM of knee flexion improved earlier than other physical functions and ROM of knee extension worsened after 6 weeks postoperatively. However, the result of self-reported physical function and other performance-based physical functions continued to improve significantly at 6 weeks and 3 months after surgery. Conclusion This study demonstrated that the patients who underwent bilateral TKA surpassed most of their physical functions in the 3 months before surgery. However, the recovery of performance-based physical function and self-reported physical function occurred at different times after surgery. Therefore, a rehabilitation treatment strategy according to these changes of physical functions is needed. References [1]Peat G, McCarney R, Croft P. Knee pain and osteoarthritis in older adults: a review of community burden and current use of primary health care. Annals of the rheumatic diseases. 2001;60(2):91-7. [2]Cross III WW, Saleh KJ, Wilt TJ, Kane RL. Agreement about indications for total knee arthroplasty. Clinical Orthopaedics and Related Research (1976-2007). 2006;446:34-9. [3]Nilsdotter AK, Toksvig-Larsen S, Roos EM. Knee arthroplasty: are patients’ expectations fulfilled? A prospective study of pain and function in 102 patients with 5-year follow-up. Acta orthopaedica. 2009;80(1):55-61. [4]Stevens JE, Mizner RL, Snyder-Mackler L. Quadriceps strength and volitional activation before and after total knee arthroplasty for osteoarthritis. Journal of Orthopaedic Research. 2003;21(5):775-9. Acknowledgements: NIL. Disclosure of Interests None Declared.

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)0.001
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.231
Teacher spread0.222 · 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
Published2023
Admission routes1
Has abstractyes

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