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Record W4389703567 · doi:10.1177/02683555231221615

Assessment of lower extremity venous insufficiency and lipedema and their association with knee symptoms, functions, and quality of life in patients with knee osteoarthritis

2023· article· en· W4389703567 on OpenAlexaboutno aff
Hilmi Ekti, Hasan Toktaş, Hilal Yeşil, Furkan Kaya

Bibliographic record

VenuePhlebology The Journal of Venous Disease · 2023
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisWOMACQuality of life (healthcare)Chronic venous insufficiencyPhysical therapyRange of motionVisual analogue scaleKnee painInternal medicinePathology

Abstract

fetched live from OpenAlex

Objective To evaluate the effects of the venous insufficiency (VI) or lipedema on the symptoms, functions, and quality of life (QoL) of patients with knee osteoarthritis (OA). Methods 96 patients with stage 3/4 knee OA were included in the study. Patients were grouped as OA ( n = 35), VI + OA ( n = 35), and lipedema + OA ( n = 26). Range of motion (ROM), Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), short-form (SF-36), and 6-minute walking test (6MWT) were evaluated. Results WOMAC stiffness score was significantly higher in the VI group than the other groups ( p < .05). VAS resting, WOMAC pain, function, and total scores were significantly higher in the lipedema + OA and VI + OA groups than the OA group ( p < .05). SF-36-physical role limitation was significantly lower in the lipedema and VI groups ( p < .05). Conclusion VI or lipedema accompanying knee OA increases the existing disability due to OA by negatively affecting patients regarding pain, QoL, and physical functioning.

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)0.000
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 score0.006
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.254
Teacher spread0.243 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

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