A194 PERSISTENT NAFLD AT 12 MONTHS POST-ROUX-EN-Y GASTRIC BYPASS SURGERY IS ASSOCIATED WITH LOWER IMPROVEMENTS IN WAIST CIRCUMFERENCE AND WORSE GLYCEMIC CONTROL
Bibliographic record
Abstract
In obese individuals undergoing Roux-en-Y Gastric Bypass (RYGB), non-alcoholic fatty liver disease (NAFLD) is seen in 75 to 100% of cases. This improves post-surgery but some patients continue to have persistent NAFLD. The purpose of this study was to determine the factors associated with persistent NAFLD at 12-months post-RYGB. This is a prospective cohort study of 42 patients who underwent RYGB. Biochemical and clinical parameters were collected pre- and 12-months post-RYGB. All patients underwent a liver biopsy for histology during the RYGB (wedged) and at 12-months post-RYGB (ultrasound guided needle biopsy). Based on histology at 12 months, patients were separated in 2 groups: those with normal liver (NL) and those with persistent NAFLD. At baseline NAFLD was diagnosed in 85.7% of patients and at 12-months post-RYGB, NAFLD was present in 19.1% of patients. Patients who had a NL at baseline, remained with NL. RYGB resulted in significant decreases in BMI, waist circumference, blood pressure, AST, ALT, fasting glucose and insulin, HbA1c and triglycerides, and significant increases in HDL cholesterol. Changes were similar in both groups except for waist circumference, which showed lower changes in those with persistent NAFLD compared to NL. In addition, those with persistent NAFLD had significantly higher (P<0.05) fasting glucose and insulin at 12-months with a higher proportion of these patients having insulin resistance compared to those with NL. RYGB resulted in significant improvements in biochemical and clinical parameters including liver histology. However, despite similar weight loss, those with persistent NAFLD had less improvement in waist circumference and worse glycemic control suggesting that, other than weight loss, these factors may influence the liver response to RYGB. CIHR
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".