Residual Effect of Sodium Glucose Cotransporter 2 Inhibitor, Tofogliflozin, on Body Weight After Washout in Japanese Men With Type 2 Diabetes
Bibliographic record
Abstract
BACKGROUND: We investigated the potential mechanism underlying body weight reduction by the sodium glucose cotransporter 2 (SGLT2) inhibitor, tofogliflozin, during treatment and after subsequent washout. METHODS: Ten Japanese men with type 2 diabetes (average age: 66.3 years) were orally administered tofogliflozin (20 mg/day) for 8 weeks followed by a subsequent 8-week washout period (16 weeks). RESULTS: Significant reductions were observed in blood glucose, hemoglobin A1c (HbA1c), uric acid, body weight and waist circumference with an increase in high-molecular weight (HMW) adiponectin at 8 weeks. We also evaluated these markers at 16 weeks and found that unlike HbA1c and uric acid, body weight and HMW adiponectin did not return to baseline levels. To clarify the potential mechanism underlying the body weight reduction during treatment with tofogliflozin (8 weeks) and after washout (at 16 weeks), we investigated the correlations between changes from baseline (0 week) in body weight and those in waist circumference (or HMW adiponectin). The changes in body weight between 0 weeks versus 8 weeks were not significantly correlated with those in waist circumference or HMW adiponectin. In contrast, changes in body weight between 0 and 16 weeks did show a significant correlation to those in waist circumference and HMW adiponectin. CONCLUSION: The body weight reduction caused by tofogliflozin may be due to several factors as well as fat reduction at 8 weeks, but is most likely due to fat reduction alone after a subsequent 8 weeks of washout of this agent.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".