The Impact of Chronic Pain, Stiffness and Difficulties in Performing Daily Activities on the Quality of Life of Older Patients with Knee Osteoarthritis
Bibliographic record
Abstract
Osteoarthritis causes a number of physical ailments, which result in the deterioration of a persons’ general health and reduction of their ability to move freely. This cross-sectional study was designed to assess the impact of physical ailments in the course of knee osteoarthritis (KOA) on the quality of life (QoL) of patients in early old age. An anonymous survey was conducted by the use of the recognized research tools: Western Ontario scale and McMaster Osteoarthritis Index (WOMAC), The Index of Severity for Knee Disease (ISK) and World Health Organization Quality of Life—BEFF (WHOQOL-BREF). The study involved 300 people aged between 60 and 75 years old, including 150 patients diagnosed with gonarthrosis and 150 people without lower limb complaints. The significant intensification of the symptoms of knee osteoarthritis was associated with a worse assessment of health (p < 0.001), overall quality of life (p < 0.001) and in the following domains: physical (p < 0.001), mental (p < 0.001) and environmental (p < 0.001) in a group of patients with KOA. These findings suggest that taking measures to reduce knee pain and improve function may have an impact on improving the overall quality of the life of people in their early old age.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".