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Record W1887979953

Gait, Balance Recovery and Balance Confidence after Total Knee Replacement: Differences between Younger and Older Patients

2014· dissertation· en· W1887979953 on OpenAlexaboutno aff
Brian D. Street

Bibliographic record

VenueYorkSpace (York University) · 2014
Typedissertation
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisTotal knee replacementPhysical therapyBalance (ability)ArthroplastyKnee replacementRehabilitationPopulationGold standard (test)Physical medicine and rehabilitationSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Total knee replacement (TKR) is the gold standard treatment for improving mobility and relieving pain associated with end-stage knee osteoarthritis (OA) when other modalities have failed. Patients demonstrate significant improvements compared to pre-TKR levels, however deficiencies in function and mobility remain when compared to healthy controls. Recent national joint replacement registries have reported a substantial increase in the number of TKR procedures performed on younger patients. Over the last decade in Canada, the largest relative percent increase (≈300%) in TKRs has occurred to patients who were between 45-54 years of age. Although this younger patient group (<55 years old) is rapidly growing, the vast majority of the literature investigating TKR outcomes has been based upon the ‘typical’, older TKR patient (≥ 65 years old). This has created a therapeutic dilemma for clinicians, having little empirical data to formulate explicit statements or recommendations regarding how TKR will affect this younger population, and a concern with prosthesis failure and revision surgery, there is a hesitation to perform TKR on the younger knee OA patient. \nAge-related deterioration in sensory information acquisition and musculoskeletal function has been observed between younger and older adults in the absence of knee OA and TKR, and has been linked to an increase in fall risk and falls. These age-related deficits observed in healthy adults may also distinguish younger and older TKR patients, which would have important implications to the surgical and rehabilitation practice. Currently, there are a limited number of published reports examining age-related differences in TKR patients and this gap in the literature warrants investigation. Therefore, the goal of this thesis is primarily to investigate the younger TKR patient and to compare their observations to that of the older, ‘typical’ patient and to their healthy age-matched controls.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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