Prevalence of Knee Osteoarthritis in the United Arab Emirates: A Scoping Review
Bibliographic record
Abstract
Background: Across the globe, osteoarthritis (OA) poses a significant burden on healthcare resources. This has led to renewed interest in accurately identifying cases in each area to implement effective management and prevention strategies. Objectives: To synthesize the available literature on the prevalence of osteoarthritis in the United Arab Emirates through a scoping review. Methods: An organized and systematic search of electronic databases (Ebscohost-Medline, Embase, Scopus, Web of Science, ScienceDirect, Springer, and Cochrane) was conducted to locate literature on the prevalence of knee OA across the United Arab Emirates (UAE). Studies contributing to the evidence were reviewed using the Newcastle-Ottawa Quality Assessment Scale. Results: Of the 25,009 studies located through search strings, only three studies reported the prevalence of OA in the UAE, with rates ranging from 1.4% to 47.1%. Age and body mass index were associated with OA. Conclusions: The literature reports a wide prevalence of knee OA in the UAE, with variations due to geographical location, sample recruitment, and case definition.
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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 | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.021 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".