Screening for and Management of Obesity in Adults: U.S. Preventive Services Task Force Recommendation Statement: A Policy Review
Bibliographic record
Abstract
The United States Preventive Services Task Force (USPSTF) has recently released an updated, evidence-based, recommendation for the screening and management of obesity in adults.1 These new recommendations reinforce the significant impact of obesity upon health services, and raise critical questions concerning the future of its management in reducing long-term sequelae. Although the remit of the recommendations lie within the US, they should be considered in the context of the global nature of obesity.2 These new USPSTF guidelines stress important themes applicable to obesity management policies and guidelines worldwide. This article aims to summarise the findings and recommendations outlined by the USPSTF, including its strengths and limitations. These will be considered in the context of respective recommendations from the American Heart Association (AHA)3 and the American Medical Association, and internationally from the UK's National Institute for Health and Clinical Excellence (NICE),4 2006 Canadian clinical practice guidelines,5 Australia's National Health and Medical Research Council (NHMRC),6 and the World Health Organisation (WHO).7
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".