The impact of pain on functionality and health related quality of life in patients with knee osteoarthritis
Bibliographic record
Abstract
Introduction/Objective. Pain, stiffness and limited mobility are the main factors that lead to difficulties in performing daily activities and are also responsible for the decline in the quality of life in people with knee osteoarthritis (OA). The aim of this study was to evaluate the functional capacity and health related quality of life (HRQoL) compared to pain in patients with knee OA, as well as to determine the correlation between these three clinical variables. Methods. The study involved 931 patients diagnosed with knee OA. In all patients, pain was evaluated by a short form of the McGill pain questionnaire (SF-MPQ), functional status was assessed using the Western Ontario and McMaster Universities Arthritis Index (WOMAC), while life quality was evaluated using the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36). Results. The average age of patients was 61.21 ? 4.62 years, while 71.3% of them were women. The quality of life in patients with knee OA and all pain parameters contained in the SF-MPQ were highly statistically positively associated (p ? 0.01). In addition, the physical functioning was mostly affected by emotional pain (rho = -0.585). A high statistical correlation (p ? 0.01) was noted between stiffness and physical functioning from the WOMAC questionnaire and all of the parameters from the SF-MPQ. The physical functioning from the WOMAC questionnaire had the strongest correlation with total pain incorporated into the McGill questionnaire (rho = 0.530). Conclusion. Knee pain has a significant impact on functional capacity and HRQoL in patients with knee OA. Therefore, one of the main therapy goals for OA of the knee should be to reduce the pain in the affected knee, which can help to improve the functionality and HRQoL of these patients.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".