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Record W4389615992 · doi:10.1097/mcg.0000000000001945

World Gastroenterology Organisation (WGO) News and Events

2023· article· en· W4389615992 on OpenAlexaboutno aff
James Melberg

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineMedicineObesityQuality of life (healthcare)Family medicineGerontologyInternal medicineNursingPathology

Abstract

fetched live from OpenAlex

World Gastroenterology Organisation (WGO) is pleased to announce that the executive summary of the updated Obesity Guideline is now available online in Portuguese and Spanish. The guideline can be viewed and downloaded at https://www.worldgastroenterology.org/guidelines/obesity. Roughly 1.5 billion people live with obesity worldwide. This disease can exert appreciable adverse effects on virtually all aspects of a person’s life—physical, psychological, and socioeconomic. Empirically linked to several-year reductions in both quality-adjusted life-years and life span, it confers increased risks for a host of life-altering and potentially life-threatening comorbidities, including diabetes, cardiovascular disease, and at least 13 forms of cancer. Yet, only a small minority of patients seek formal treatment, and few achieve meaningful, sustained weight loss or the amelioration of obesity-associated comorbidity. One major reason for this is woefully inadequate knowledge among the public and among primary health care providers regarding various treatment options that have been proven effective. WGO worked in partnership with the International Federation for the Surgery of Obesity and Metabolic Disorders on this publication. This joint effort gives clinicians a tool to use when dealing with those who struggle 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 Past President of WGO (2021 to 2023) and Prof Toouli is also a Past President of WGO (2013 to 2015). In addition to the summary, the “Methodology and results of a joint IFSO-WGO Delphi Survey of 94 intercontinental, interdisciplinary experts in obesity management” paper is also available in Portuguese and Spanish at the link above. Save the Date: GASTRO 2024 in Marrakech, Morocco. WGO is pleased to announce that GASTRO 2024 will take place from 7–9 November 2024 in Marrakech, Morocco, in partnership with the Société Marocaine des Maladies de l'Appareil Digestif. More information will be available shortly.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0530.048

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.

Opus teacher head0.077
GPT teacher head0.382
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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