Bibliographic record
Abstract
Sodium glucose co-transporter 2 inhibitors (SGLT2is) are the first class of glucose lowering agent to be shown to reduce cardiovascular events. They are generally well tolerated with infrequent serious adverse events. The most frequent side effect is genital mycotic infections with candida species that are usually mild to moderate in severity, easily treated and infrequently recur. Urinary tract infections, although common in patients with diabetes, have not been shown to be increased in controlled studies with SGLT2i. Hypoglycaemia can occur when an SGLT2i is added to agents that cause hypoglycaemia, such as insulin or sulphonylureas. Volume depletion and hypotension is infrequent and can be minimized by adjusting diuretic and antihypertensive treatment in patients at risk. Acute renal failure or kidney injury was observed in early observational studies. However, in randomized controlled trials (RCTs) and in more recent observational studies a decreased incidence of acute kidney injury was observed in SGLT2-treated patients compared to those receiving either placebo or another class of glucose lowering agents. An increased incidence of amputation (largely feet and toes) was observed in the RCT with canagliflozin but not with the other SGLT2i. Observational studies have shown either an increased risk of amputation with other agents whereas another study showed no increase. Although the increased risk of amputation is very low, avoidance of SGLT2i in patients at high risk seems prudent. Increased incidence of fractures was observed with canagliflozin but not with SGLT2i nor in a meta-analysis that included canagliflozin, empagliflozin and dapagliflozin. No increased incidence of cancer has been observed in either RCTs or observational studies.
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 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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".