Perioperative and periprocedural management of GLP-1 receptor-based agonists and SGLT2 inhibitors: narrative review and the STOP-GAP and STOP DKA-2 algorithms
Bibliographic record
Abstract
The GLP-1 receptor-based agonists (GLP-1RAs) and SGLT2 inhibitors (SGLT2i) are major twenty first century breakthroughs in diabetes and obesity medicine but there are important safety considerations regarding the perioperative and periprocedural management of individuals who are treated with these agents. GLP-1RAs have been linked to an increased risk of retained gastric contents and pulmonary aspiration while SGLT2i can be associated with diabetic ketoacidosis. This manuscript provides a narrative review of the available evidence for perioperative and periprocedural risks in people prescribed GLP-1RAs and SGLT2i. The authors provide expert opinion-driven recommendations and algorithms on how to safely manage GLP-1RAs and SGLT2i under perioperative/periprocedural settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".