To What Extent Do Clinical Practice Guidelines for Chronic Diseases Embrace Current Obesity Management Guidance? A Qualitative Content Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Obesity is a chronic, progressive, and recurring disease that contributes significantly to multi-morbidity across Europe. Despite the publication of numerous clinical practice guidelines (CPGs) for obesity, many chronic disease guidelines for obesity-related diseases such as diabetes, MASLD, heart disease, and obstructive sleep apnoea do not integrate contemporary understandings of obesity as an adiposity-based disease requiring direct management in its own right. The objective of this qualitative content analysis was to evaluate the extent to which recent chronic disease CPGs align with current evidence-based obesity guidance. METHODS: A working group convened by the European Association for the Study of Obesity reviewed 13 chronic disease CPGs published since 2019. Guidelines were assessed using nine predefined criteria based on leading obesity CPGs. Data were extracted, and content analysis was used to identify gaps and opportunities across the chronic disease CPGs. RESULTS: Three key themes were identified: (1) inconsistent scientific/medical conceptualization of obesity, (2) limited integration of evidence-based obesity management guidance, and (3) minimal inclusion of person-centred care principles. Most guidelines treated obesity as a risk factor, not a disease, and lacked reference to contemporary obesity frameworks or person-first language. CONCLUSION: Greater alignment across CPGs is essential to improve obesity care within multi-morbidity management. Collaborative, cross-speciality approaches are recommended to harmonize clinical guidance and promote integrated, stigma-free care. .
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it