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Record W6982829644

Kinematic and functional analysis during gait following intraarticular corticosteriod injection in patients with acute exacerbation of knee arthritis

2008· dissertation· en· W6982829644 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2008
Typedissertation
Languageen
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsKinematicsGaitGait analysisArthritisExacerbationFunctional analysis
DOInot available

Abstract

fetched live from OpenAlex

PurposeThe objectives of this study include evaluation of knee joint movements following intraarticular corticosteroid injection (ICI) in patients with acute exacerbation of knee aryhjritis..The study measured changes in spatiotemporal gait parameters, pain intensity, and functional status in the participants.Participants Nine adult participants with acute exacerbation of rheumatoid arthritis of the knee (aged 23 to 57) were included in the study.They all had an exacerbation of unilateral knee arthritis and attended the Rheumatology clinic at the Health Sciences Center, Winnipeg, Canada.ICI was administered to each participant in the affected knee joint.Methods Kinematic data for the affected knee and spine was obtained by Vicon Motion Analysis System (Oxford, UK) during gait.Spatiotemporal gait parameters were obtained using the GAITRite@ system (CIR Systems Inc.Clifton, NJ 07012).Participants performed five trials each for gait and stair climbing.Pain intensity was measured by a 10 cm vertical VAS.The Knee inju.y and Osteoarthritis Outcome Score (KOOS) was used to obtain functional outcome information.Datawas collected before the ICI and after 7-10 days following ICL Analysis Movement excursion for the affected knee joint flex/ext, hip abd/add, ankle DFÆF, spine side flexion, and spine forward flex/ext angle on the affected side were the outcome variables extracted from the kinematic data.Kinematic datawas exported, conditioned, and processed using custom Matlab 7 software for analysis.The gait cycle was separated into swing and stance phases.Average curves for each outcome variable were analyzed pre and post-injection with a point to point paired t-test in all the participants.Cadence, velocify, bilateral stride length, bilateral step length, step width, bilateral step time, double support percentage, and ipsilateral single support percentage were the spatiotemporal parameters that were compared before and after ICL Pain intensity and KOOS score were also compared using paired t-tests were computed for testing these variables.Differences for p<0.05 were considered significant.ResultsSignifrcant improvement in the flex/ext excursion of the affected knee joint was observed following ICL Movement excursion for ankle DF angle also improved following ICI.Participants also showed significant improvement in cadence, velocity, bilateral stride length, bilateral step length, step width, double support percentage, and ipsilateral step time.Pain level reflected by VAS and functional status as described by different subscales of KOOS showed significant improvement as well following ICL ConclusionsThe study demonstrated a short-term effect of ICl-induced pain relief on knee joint functions in patients with acute exacerbation of rheumatoid arthritis of the knee patients.The study concluded that knee joint movements, gait pattem, and overall quality of life improve markedly following ICL Future research should determine the long-term effects of ICI in acute exacerbation of rheumatoid arthritis of the knee on knee movement, pain and function.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.007
GPT teacher head0.164
Teacher spread0.157 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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