Metabolic Syndrome In Egyptian Patients with Primary Knee Osteoarthritis
Bibliographic record
Abstract
Introduction : Osteoarthritis (OA) is among the most common musculoskeletal disorders affecting millions of people throughout different races in different ages and sexes Aim: The aim of the present study was to determine the prevalence of Metabolic Syndrome (MetS) in a group of Egyptian patients with primary knee Osteoarthritis (OA) and to detect its relation to the clinical, functional and radiographic findings. Patients and methods : The present study included 380 patients (150 males, 230 females) diagnosed as having primary knee OA. Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to assess disease specific self-reported disability. X-rays were classified according to the Kellgren–Lawrence (KL) radiographic rating scale. 400 (260females, 140 males) apparently healthy volunteers without knee OA were used as control group. Results : MetS was prevalent in 53.7 % of the studied OA patients, in the control group was 37.3% of (P: <0.001). The prevalence of individual MetS components included 68.7 % for abdominal obesity, 66.8 % for hypertension, 36.1 % for hyperglycemia, 52.1 % for elevated triglycerides and 49.2 % for low high density lipoprotein (HDL). Patients with MetS had significantly higher body mass index (BMI) (P: 0.0013), longer disease duration (P: 0.021), more pain (P: 0.007), more stiffness (P: 0.043), worse functional impairment scores(P: 0.017) and advanced radiological progress (P:0.0001). Conclusions : MetS is prevalent in patients with primary knee OA. It is associated with poor clinical performance and advanced radiological changes. The most common component of MetS in our study is abdominal obesity.
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 | 0.000 | 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".