ASSESSMENT OF FATIGUE AND ITS CORRELATION WITH QUALITY OF LIFE AND FUNCTION DISABILITY IN OSTEOARTHRITIC PATIENTS
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is a chronic, degenerative, inflammatorymusculoskeletal dysfunction. It is associated with pain, reduced functionalcapacity and deficient quality of life. Fatigue is a frequent complaint in patientswith arthritis, which correlate to tiredness. Purpose of the study: This studyaimed to assess fatigue in knee osteoarthritic patients and to correlate it toquality-of-life indexes and functional disability. Subjects and Methods: Thiscross-sectional study was performed on 200patients of both sex with agesranged from 50 to 65 years old and medical diagnoses of knee osteoarthritiseither grade II or grade III. The participants were selected according to thedemographic survey including information on their age, gender, educationallevel, height, weight, BMI, disease duration. Fatigue was measured by Arabicversion of fatigue severity scale; quality of life was measured by Arabic versionof SF36 questionnaire and function disability was measured by Arabic versionof The Western Ontario and McMaster Universities osteoarthritis index(WOMAC). Results: 200 patients were included in the study. Grade II group < br />consisted of 39 patients (3 male and 36female), grade III consisted of 161patients (31 male and 131female). The results indicated that there wassignificant difference in the fatigue severity scale between both groups with (Uvalue=2019, Z-value= -3.458, p = 0.001*), this significant increase in grade IIIgroup in compared to grade II group. There was a positive weak correlationbetween fatigue severity scale and WOMAC (p=0.0001*). And There was anegative weak correlation between fatigue and pain domain of SF36questionnaire (p=0.0001*) and there was a negative weak correlation betweenfatigue severity scale and fatigue domain of SF36 questionnaire (p=0.002*).Conclusion: On the basis of this study, it could be concluded that there is anassociation between fatigue and both disability and quality of life in patientswith knee osteoarthritis.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".