Profile of Ipragliflozin, an Oral SGLT-2 Inhibitor for the Treatment of Type 2 Diabetes: The Evidence to Date
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a novel class of pharmacotherapeutics for type 2 diabetes management that work by reducing renal reabsorption of glucose. Ipragliflozin is a potent, selective SGLT-2 inhibitor used for the management of type 2 diabetes. OBJECTIVE: The primary aim of this review is to summarize the available evidence on the efficacy and safety of ipragliflozin for the management of type 2 diabetes. We also review the discovery, pharmacokinetic, and pharmacodynamic profile of ipragliflozin. METHODS: To inform our review, we searched MEDLINE, International Pharmaceutical Abstracts, and Embase to identify relevant papers to ipragliflozin use in type 2 diabetes. Clinical trial registries were also searched. RESULTS: Findings from randomized clinical trials demonstrate that compared to placebo, ipragliflozin significantly reduces glucose as measured via Hemoglobin A1c and fasting plasma glucose levels. Ipragliflozin is also associated with weight reduction and an improvement in some, but not all, cardiovascular risk markers. Ipragliflozin has a favourable safety profile with a low risk of hypoglycemia and the rates of common adverse events are not significantly different than placebo. Limited data are available to assess rare and long-term adverse effects. CONCLUSION: Current evidence shows that ipragliflozin is an effective therapeutic option for the management of glucose control in type 2 diabetes. However, no cardiovascular outcome trials have been conducted to date. Real-world observational studies are still needed to accurately capture any possible rare or long-term adverse events.
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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 | 0.000 |
| 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) | 0.000 | 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 it