OC02_07 Genome-Wide Association Study of Susceptibility to Rheumatic Heart Disease in Oceania: Preliminary Results
Bibliographic record
Abstract
Endometrial cancer is strongly associated with obesity, and weight reduction has been demonstrated to decrease risk and overall mortality. Bariatric surgery results in the most dramatic weight loss among morbidly obese individuals, and the impact of bariatric surgery on endometrial cancer requires further investigation.To conduct a scoping review of the published literature of the effects of bariatric surgery on endometrial cancer, as risk reduction and potential adjunct to treatment.University Hospital, Canada.A comprehensive search of peer-reviewed literature was conducted by an expert searcher and librarian to retrieve relevant articles discussing aspects of endometrial cancer or endometrial hyperplasia and bariatric surgery.After screening, 23 articles met inclusion for review. They were categorized into evidence for risk reduction of bariatric surgery on endometrial cancer, the impact of bariatric surgery on endometrial pathology, immunohistochemistry, metabolic profiles, and bariatric surgery as a potential adjunct to treatment in endometrial cancer.There is ample evidence demonstrating a risk reduction in women with obesity (body mass index >30 kg/m2) undergoing bariatric surgery for subsequent development of endometrial cancer. However, there is a paucity of data investigating its role as an adjunct for therapy. There is sufficient evidence to argue for the inclusion of endometrial hyperplasia and endometrial cancer as obesity-related conditions and the access to bariatric surgery should be broadened for affected individuals to reflect this.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".