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Record W2004622213 · doi:10.1155/2012/984060

Relationships between Pain, Function and Radiographic Findings in Osteoarthritis of the Knee: A Cross-Sectional Study

2012· article· en· W2004622213 on OpenAlexaboutno aff
Duygu Çubukçu, Ayşe Sarsan, Hakan Alkan

Bibliographic record

VenueArthritis · 2012
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisPhysical therapyKnee painBody mass indexCross-sectional studyRheumatologyGrading (engineering)Outpatient clinicRadiographyInternal medicineSurgeryPathologyAlternative medicine

Abstract

fetched live from OpenAlex

Objectives. The aim of this study was to investigate the relationships between pain, disability, and radiographic findings in patients with knee osteoarthritis (OA). Patients and Methods. A total of 114 patients with knee OA who attended the physical medicine and rehabilitation outpatient clinic were included in this study. The diagnosis was based on the American College of Rheumatology (ACR) criteria for knee OA. Age, duration of disease, and body mass index (BMI) of the patients were recorded. Radiographic features on the two-sided knee radiography were assessed with the Kellgren-Lawrence scale. The severity of knee pain, stiffness, and disability were measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Results. The mean age of the patients was 56.98 (±8.28) years and the mean disease duration was 4.14 (±4.15) years. Kellgren-Lawrence grading scale and age or disease duration were positively and significantly associated, whereas none of the WOMAC subscores were found to be related with Kellgren-Lawrence grading scale (P > 0.05). On the other hand, WOMAC disability scores were significantly associated with WOMAC pain and WOMAC stiffness (P < 0.01). Conclusions. Knee pain, stiffness, and duration of disease may affect the level of disability in the patients with knee OA. Therefore treatment of knee OA could be planned according to the clinical features and functional status instead of radiological findings.

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 score0.026
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.260
Teacher spread0.233 · 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

Citations165
Published2012
Admission routes1
Has abstractyes

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