Body composition after bariatric surgery in patients with Diabetes Mellitus
Bibliographic record
Abstract
Introduction: Severe stages of Obesity increased cardiovascular and mortality risk, especially in people with Diabetes Mellitus. Last choice is a bariatric surgery which is permits to decrease the risk and prolong life longevity and quality. We interested how body composition will changes in patients after bariatric surgery. Material and methods. Anthropometric data, blood fasting and after meal glycemia, HbA1c, blood AlT, AsT, total cholesterol level was observed before and after bariatric Y and Rouge surgery in 42 patients with type 2 DM. Body compositions were assessed by bioimpedance method and calculated as a percentage to body mass. Results. Body mass indexes were 42 m 2 /kg and decreased by 34% (p<0,05) after bariatric surgery. Blood fasting (67%) and 2h after (59%) meal glycemia level, as well as HbA1c (75%), total blood cholesterol level (73%) were significantly decreased, whereas AlT, AsT were in normal range and remain unchanged. Interesting that 54% of patients blood glucose control were normal and they stop sugar lowering medications, others continue previous hypoglycemic therapy, but dosages were decreased more than 2 times. Body composition before surgery were increased by fat masses, 66% of body fat in average and were decreased until 42% (p<0,05) of body mass after 3 months of bariatric surgery. Lean masses were decreased and composed16% in averages before surgery, which gained until 21% after surgery. Bone mass were decreased before surgery and significantly increased after surgery and accompanied by increasing of blood platelets numbers and fib4 score. That finding indicate that bone metabolism is affected probably through FGF23 and klotho protein pathway. Whereas body water mass was significantly decreased after surgery, which is need to further investigation regarding water replacement, especially in patients with DM2. Conclusion. Bariatric surgery in severe obese type 2 DM patients significantly improved body fat and lean masses, blood glycemia, HbA1c and total cholesterol level, whereas body fluids and bone metabolism require more deeper investigations. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".