Bibliographic record
Abstract
The World Gastroenterology Organisation (WGO), in partnership with the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO), is pleased to announce the publication of “Guidelines on Obesity.” This joint IFSO and WGO effort gives clinicians a tool to use when dealing with people with obesity. The Guideline was led by Drs Scott Shikora (USA), Reem Sharaiha (USA), Kevin P. White (Canada), Guilherme Macedo (Portugal), James Toouli (Australia), and Lilian Kow (Australia). Prof. Macedo is the current President of WGO and Prof. Toouli is a Past President of WGO (2013-2015). Guidelines constitute a very useful roadmap for practicing clinicians, who face in so many times challenging patients and difficult clinical scenarios, where reasonable and feasible recommendations for action are warmly welcome. Along with conditional recommendations comprising different levels of (un)certainty and while unraveling knowledge gaps, guidelines should have the dynamics to support evolving and changing processes, and need to be aimed to enlighten the navigation through a large spectrum of possibilities, while avoiding controversies through clear messages producing clinically sound and efficient decisions. Obesity is a global condition, promoting in all corners of the world a wide range of metabolic diseases and biological consequences, where gastroenterology, with its scope of fostering digestive health, has a clear and growing role. The biology of nutrition, digestion, and metabolic disarray needs the efforts of joining hands and minds to adequately embrace this great health challenge of obesity. This was the purpose of including different perspectives and approaches, either medical, endoscopic or surgical, providing insight, experience, and knowledge so that up-to-date and efficient clinical algorithms could be reached. The endeavor of WGO and IFSO, the efforts and energy we have dedicated to build up these Guidelines are the tangible proofs of the benefits of the transdisciplinary approach. The seeds were planted for further collaboration, let us all (health care providers and all those we influence and serve throughout the world) profit from great examples of joint ventures such as this one. An Executive Summary of the Guidelines and the extended version is available now for download on the WGO website at: https://www.worldgastroenterology.org/guidelines/obesity/obesity-english. While this updated guideline is only available in English so far, translations of the Executive Summary into French, Portuguese, Mandarin, Russian, and Spanish are underway.
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 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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.052 | 0.052 |
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".