The Saudi clinical practice guideline for the management of overweight and obesity in adults
Bibliographic record
Abstract
OBJECTIVE: To assist healthcare providers in evidence-based clinical decision-making for the management of overweight and obese adults in Saudi Arabia. METHODS: The Ministry of Health, Riyadh, Kingdom of Saudi Arabia assembled an expert Saudi panel to produce this clinical practice guideline in 2015. In collaboration with the methodological working group from McMaster University, Hamilton, Canada, using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach, which describes both the strength of recommendation and the quality of evidence RESULTS: After identifying 11 questions, corresponding recommendations were agreed upon as guidance for the management of overweight and obese adults. These included strong recommendations in support of lifestyle interventions rather than usual care alone, individualized counseling interventions rather than generic educational pamphlets, physical activity rather than no physical activity, and physical activity in addition to diet rather than diet alone. Metformin and orlistat were suggested as conditional recommendations for the management of overweight and obesity in adults. Bariatric surgery was recommended, conditionally, for the management of obese adults (body mass index of ≥40 or ≥35 kg/m2 with comorbidities). CONCLUSIONS: The current guideline includes recommendation for the non-pharmacological, pharmacological, and surgical management of overweight and obese adults. In addition, the panel recommends conducting research priorities regarding lifestyle interventions and economic analysis of drug therapy within the Saudi context, as well as long term benefits and harms of bariatric surgery.
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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 | 0.009 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".