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Record W2999607128 · doi:10.1590/1980-5918.033.ao06

Influence of knee osteoarthritis on functional performance, quality of life and pain in older women

2020· article· en· W2999607128 on OpenAlexaboutno aff
Maiara Gonçalves dos Santos, Pricila Damiani, Ana Carolina Zappe Marcon, Alessandro Haupenthal, Núbia Carelli Pereira de Avelar

Bibliographic record

VenueFisioterapia em Movimento · 2020
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACOsteoarthritisMedicinePhysical therapyQuality of life (healthcare)Timed Up and Go testVisual analogue scaleGaitBalance (ability)Physical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Introduction: Knee osteoarthritis (KOA) is a common degenerative disease in older people, causing pain, stiffness and dysfunction. Objective: To determine the influence of KOA on functional performance (FP), quality of life (QoL) and pain in older women. Method: This is a cross-sectional study, in which 50 older women diagnosed with KOA and 51 without KOA participated. Participants were assessed using FP tests: Sit-to-stand (STS); Gait speed test (GST); Timed Up and Go (TUG); 6-minute walk test (6 MWT) and the Berg Balance Scale (BBS). Pain was assessed by the visual analog scale (VAS); quality of life by applying the SF-36; and self-perception of the disease by using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Results: No intergroup statistical differences were found in the BBS (p: 0.42), STS (p: 0.59) and 6MWT (p: 0.97). However, the KOA group showed slower GS (p < 0.00) and longer time in TUG (p < 0.00). They also presented higher pain levels (p < 0.01), worse perceived health status regarding pain, stiffness and physical function (WOMAC) (p < 0.01), as well as worse QoL indices in functional capacity, physical limitations, pain and overall health status (p < 0.010). Conclusion: The results of the study demonstrate that older women with KOA showed a decline in FP, QoL and higher pain levels.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.392
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.016
GPT teacher head0.242
Teacher spread0.226 · 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

Citations19
Published2020
Admission routes1
Has abstractyes

Explore more

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